Augmented reality as a unique marketing technique

 

The possibilities of augmented reality in marketing and sales are creating an interactive experience for the customers. It uses digital technology to overlay information in image, text or video format onto the objects of our everyday life. The technology of AR enables the marketers to transform a static object like a magazine cover or printed advertisement to an incredible 3D experience. AR enhances the conventional marketing techniques including the printed ad, brochures and billboards with its digital overlays. This will add an extra layer of interest among the potential customers as they can learn more about the product or service rather than just viewing an advertisement.

 

 

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Benefits of interactive AR advertisements

Augmented reality advertisements create an emotional connection with the customers as it remains as a realistic, interactive platform. With the aid of AR, a marketer can bring life to any advertising or marketing material of a product. The customer just needs to point the advertisement through their smartphone camera and then watch the magic on their device screens. If it is a billboard of a newly released cinema, the film buffs can focus their smartphone cameras on the billboard and they can watch the movie trailer then and there. If it is an ad for a retail furniture store, the marketer can offer a 3D room modelling service.

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 It allows potential customers to see how the product of their choice would look in their bedroom or kitchen. This shall build an emotional connection with the AR advertisement which eventually leads to a product purchase.

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Augmented reality in sales promotion

Augmented reality advertising boosts the sales volume of a product or service with its distinctive features. In e-commerce, AR offers a virtual product-trail experience which allows the consumers to interact with the products prior to purchase.

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 This provision of ‘virtual-try on’ can contribute to the increase in sales as well as a decrease in the return rates. Consumers can also get more information regarding the availability and pricing of the products as well. Making use of AR services may take your brand value to the next level by enhancing its virtual possibilities. Avail our exclusive AR App creator at Unite AR and let us together make your business stand out from the competitors around.

Benefits of AI Ams.

 

We all love Rois.

The human mind is driven by ROI, whether it gets the cheapest deal for your favorite cellphone in Flash sales or getting clothes for the upcoming festival, how much you invest and how big you get rewards for the investment you make.

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Today's company is also driven by the Millennium trend and industry leaders who aim to get high returns, especially when it comes to IT application management services (AMS) with a lower investment. Modern AMS driven by two main metrics, analytics and automation, analytics to get the right things and automation for things that will be agile. Artificial intelligence can accommodate this and when cognitive philosophy is applied to AMS, the benefits of skyrocketing and breaking up traditional AMS settings for Break-Fix maintenance.

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Benefits of AI Ams.

Extraordinary cost savings

As mentioned earlier, important money and having AMS for your company that works on your company's account book is definitely a great thing. AI driven AMS can help you save up to 70% of application management costs, because it focuses on analytics to achieve cost cutting strategies and reduce the burden on the Helpdesk team. When there is a little workload for Helpdesk, some people can be employed to handle the daily task of the Helpdesk team which leads to cost savings.

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Reduce ticket speed

AI in AMS can help you reduce ticket speeds because it automates ticket priorities and predict ticket speeds of up to 3-4 months. In addition, the AI ​​algorithm targets high speed or excessive tickets and conducts causal analysis to categorize tickets. When deployed over time, this helps reduce ticket speeds of up to 60% leading to efficient ticket management.

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No more ambiguous slas

Most of the Helpdesk team suffered because of an inefficient work culture and unlimited delay in ticket completion time. Usually, in the traditional ADM it lies in the discretion of the Helpdesk team to define SLA. With AI, you will be able to bring SLAS to the table and assign it to a ticket based on the complexity of the solution. SLA can also be assigned based on the complexity of the past, ticket completion time through efficient analysis.

L1 and L2 support you are in a safe hand

The company feels a burden when their L1 and L2 support requires more time to complete the ticket and leads to internal escalation. Here, with AMS your ticket settlement time will drop 33% and provide a multiplier effect on your business. Your AMS becomes effective in solving problems related to external service performance, monitoring transaction metrics and performance problems related to fire and middleware on the third level of support. (L1, L2 and L3)

Not only ams

A large number of thought and research is included while developing AI and it can think like humans and act like machines, then AI AMS is not just AMS but can do more than what you can do. AI AMS interferes in providing solutions to the entire application cycle and is effective in targeting high frequency tickets and reducing the number of FTE.

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8 practical tips to keep your mind in harmony for testing

 

8 practical tips to keep your mind in harmony for testing

# 1) Think of "testing" with everything around you.

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When you travel, cook, play with children, take a walk in the park, or when you read a book, observe everything around you, and force your mind to prepare these ideas to test these things. Think about at least 5 test ideas for everything around you, every time you get the chance to think about it.

 

Think ... How can you test the train? How can you test the spoon? How can you test the book? How can you test jars? How can you test the cable? How can you test the remote? ... .. the list is unlimited. After following this exercise for 15 days, note the difference in yourself. You will be full of ideas. You will be able to understand things correctly and will be able to connect the item.

 

# 2) Learn something new every day

. A small number of knowledge, when accumulating, creating the same ocean. This practice, if followed, will definitely show a miracle in your career. Try!!!

 

# 3) Maintain diverse interest

 

At present, it is expected that quality people know the life cycle, documentation, testing process, programming, analysis, automation, and knowledge in various domains.

 

It's not easy to learn something else when you've been busy testing something specific. But at the same time, you cannot risk attracting your career chord down. You can't learn everything, but you can definitely have some ideas about the important products / domains that are different from what you have done.

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If you have worked on the Windows operating system, see how Linux works, read about it, and explore it.

If you have become a manual tester for most of your career, see what type of automation tool is available and explore.

If you have tested the web application so far, see how cellular application testing is different.

If you have worked in the banking domain, understand how the health care domain works.

Maintaining diversified interest will give you the opportunity to see a larger picture and understand the equation and difference easily.

 

# 4) Play the game

 

There are many strategy games, pattern search games, and missing letter games available for free. Use opportunities, and learn from them. The game makes your mind sharp and alert. Sharp thoughts can find something hidden easily.

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# 5) Read

 

Read whatever you can. No need to read the software testing book just to be a good tester. If you can retell correctly, the book about any subject will be a treasure for you.

 

# 6) rest

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Humans have a tendency to get used to. If you see broken furniture for a long time, your mind, at one point, will start thinking about how perfect it is than the damaged part. Don't focus your eyes on the same thing constantly. Take a rest, pay attention to your environment, discuss knowledge, and then continue your work. Does it make a difference? Lots.

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# 7) Save Note

 

Every day, the jot drops at least five points about what you learn, what you do to make something happen, what you find, or ideas what you apply to notepad. This will be a treasure when you take the time to review.

 

# 8) Learn Management

 

You can achieve success only if you can better manage things better. Learn and observe from your managers - how they manage resources, clients, projects, timelines, and other obstacles.

 

To manage something, you don't need to be a manager. Start with your work and time. Try to help others and receive assistance when prompted. Management skills will grow with constant practices and will definitely make the best of you.

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Manual testing vs. Automation test - things to consider?

 

Manual testing vs. Automation test - things to consider?

Test automation that runs for your mobile application is the best way to increase the effectiveness, efficiency, and productivity of testing your software. The real benefit of test automation comes from repeated properties of the test, but also from test execution that might not even appear manually. For example, by producing a cash casing, you can produce more - when nothing might be done with manual resources. Let's look at some things to consider when automation testing gives you a significant value.

 

1. Costs and assets - and time to market

Automation testing for cellular has been considered an important factor for large cellular application companies but for several reasons, it is often considered too expensive or difficult to adapt to small companies. Perhaps for historical reasons, the cost factor is the first consideration when deciding whether a company wants to use automation or remain with manual testing in their development projects. Regardless of if you choose manual and automatic testing, you will need the following assets and resources - and they will be charged money: time, person, infrastructure, tools, and training.

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Efficiency Productivity Test Automation

 

 

 

Depending on the size of the project and the application, it is quite clear that the testing automation will give you a return on investment (ROI) - how much ROI is completely dependent on how test automation is adopted and executed in your organization. For example, once the test case is made, the automatic test can be run repeatedly at no additional cost and it is finished quickly than any manual test. Automatic software testing can reduce the time to run repeated tests from week to hour. This is a significant time savings that translate directly to cost savings.

 

Efficiency Productivity Test Automation

 

 

 

In the average cellular application development project, the cost for manual testing continues when new buildings are carried out but the same thing does not apply significantly to automatic tests. Acquisition fees are usually higher in testing automation but they will quickly pay and increase ROI.

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2. Application development and automatic testing cycles - always together

Increased efficiency and productivity with test automation in your application project actually starts with a new mindset. Test software must often be repeated during all development cycles to ensure the best quality applications. Each time source code is a modified software test must be repeated. For each release of the software, it must be tested on all supported operating system variants and different hardware configurations. Repeating this test manually expensive and time consuming. For example, running tests that cover well on all variants that are different from Android and the actual device will require a lot of time if done manually.

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Automation testing is an easy task after being adopted from the start and it will save your time and money while developments take place. Determining the number of relevant test cases and releases will also show how well it will test the automation work for your project.

 

Efficiency Productivity Test Automation

 

 

 

In some projects, it really makes sense to start with manual testing, especially at the beginning of the development process. It will offer developers of good opportunity to improve their test strategies, setting testing requirements and planning on how testing will be carried out during development. Then in the process when the system of testing the standardization of all types of testing will begin to provide benefits.

Humans are not perfect. We don't - and will never be as accurate and precisely with machines - and produce a test case. Even the most conscience tester will make a basic mistake during manual testing. The test automatically performs the same steps exactly every time they are executed and never forget the details.

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3. Tools, automation test frameworks and test cases

To get the maximum results of your testing efforts, the selection of the most powerful automatic testing methods and often cross platforms is truly the best way to ensure maximum test coverage, on time and with good results. It is a well-known fact that automatic testing methods can be used for validation requirements and reduce testing costs through making automatic test cases. However, full automation of large software entities also has costs that are not ready to be paid by many companies. Historically, one reason is repeated concern of the lack of adequate integration with established development life cycles.

 

Keep in mind that testing framework, such as Robotium, UIAutomator, Selenium, Calabash, Appium, etc. Only method. Some of them are more suitable for testing of original applications, some better testing web and hybrid applications, but to get the maximum results of this framework and method, you need professional testing tools and fully utilize the benefits offered by this framework.

 

Also, one important tool for cellular developers to use to automate their testing efforts is Jenkins, which is currently the leading execution of continuous integration of open-source (CI) integration of repetitive work, such as building a software project or work run by Cron. Jenkins currently focuses on two jobs:

 

Build / test continuous software projects. In short, Jenkins provides an easy-to-use sustainable integration system, making it easier for developers to integrate changes to the project, and make it easier for users to get new buildings. Automatic automation, continuous and test automation increases efficiency and productivity.

Monitor execution of external running work, such as cron work and procmail work, even those who are run on remote machines. For example, with Cron, what you receive is a regular email that captures the output, and it's up to you to see it diligently and pay attention when it's broken. Jenkins made it output and made it easier for you to pay attention when something was wrong.

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4. Consider the Coverage of Test, Reusability & Standard Open

Open standards mean no locking vendors. Automatic testing can increase the depth and scope of the test and help significantly improve the quality of the software. Long and comprehensive test - which is often avoided during manual testing - can be run automatically. Ideally, the test case must have full access in the application and test all aspects: memory content, data tables, file content, and internal program programs to determine whether the product behaves as expected. Automatic tests can easily execute thousands of different complex test cases as long as each test runs coverage which is not possible with manual testing. Humans free from repeated manual tests have more time to make new automatic test cases and build more interesting features (and case tests).

 

Test coverage can be extended by the number of various types of test cases. For example, produce and record your tests can be done without knowledge C, C ++, Java or other programming languages. Also, choose the right device set (not emulator) for testing is an important decision and depends on the global market that you achieve with your application. For example, the most popular Android device on volume is usually a good choice but the tester must also consider the platform / OS version, display resolution, memory size of the device, and even hardware differences (chipsets, sensor sets and so on).

 

One of the important things to consider here is that developers and testers must remain with open standards and only test cases that rely on transparent fire that must be used for testing. This will help reuse the test case later.

 

5. Learn and increase effectiveness, and get there faster

In short, professional professional testing software can be seen as a solution to general problems: how to produce high-quality, strong and reliable software with complexity that continues to grow with technology under large competitive pressure. In fact, automatic software testing provides cost-effective solutions for this problem. Automatic software testing improves business results in three ways:

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Increased test efficiency,

Increased test effectiveness, and

Corslet time to the market.

Test efficiency is the average number of tests that you can run for an hour of time tester. Higher testing efficiency encourages development time and product development costs, increasing your bottler.

 

The effectiveness of testing is a level where your testing technology reveals a bug before your system is released. Improved effectiveness reduces costs through better products, increasing your bottom line now and your top row then by building customer satisfaction and loyalty.

 

If your company sells software products that must be tested before the release, reducing your time to the market can produce large benefits. Changing manual testing with automatic testing can cut the week or month from the time of testing that has passed, increase your upper line.

 

In addition to increasing productivity and efficiency, from our testing experience, automation also increases team spirit and when testing is automatic testers and developers have more time to improve their application. And it is the best way to get attraction to their application - as tough and interesting.

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How to find bugs in your application

 

Have you ever wondered about how to find a bug in your application? Do you have testcas that you think enough to track bugs? On this blog we have detailed effective steps that can be used to find bugs in your application.

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1. Save the code in a good place

 

This first step is not only useful for tracking bugs. It has many other advantages, honestly, will give for the whole article. All files that make up the application source code are not a simple file that we must save in Dropbox or, worse, in the hard disk.

 

We should not save the application source code in places such as Dropbox, Google Drive or on the hard drive. They are very strange files.

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They are files that undergo different changes from time to time and overall have different versions. For coders, this code version must be easily accessible and must have an explanation of what they represent.

 

 

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To understand each other, we talk about various versions of your code file, representing various versions of your application on the market for example, version 1, version 1.1, and version 2.0.

 

For all this, we must add that these files must be easily accessed by everyone who is working on it. The code owner must have these files, but he must allow access in a safe way for developers or developers who do it.

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Good news? There is a storage system that allows all this and more specifically designed to store code. This system is called Git.

 

We can say that git is not just a protocol, standard or rule to be followed, just call you wanted. From here, there are different platforms that apply it. The best known today, and who has more popularity, is github.

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Git advantages include,

 

Distributed development

Each developer gets a local repository connected to a central repository does not require a network connection to commit to create a reliable environment

 

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Workflow branch ability

Easily manage a branched system that provides an isolated environment for development. Create a new branch if you want to do something new. Ensuring the master branch has a production quality code helping to work in detail as a backlog agile

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Combine one branch with another

Combine a branch with another help to attract requests from one branch to a completely different so, changes can be traced easily to open up opportunities for discussion about their work before integrating with developers who are not experienced at least because the attraction request is made as a formal code

 

 

 

Community support

New additions for teams can be easily used for development that are easily distributed to utilize the other 3-party libraries can branch out their own source code

 

 

 

Faster release cycle.

Developers can share smaller changes often help with sustainable shipping and deployment of the integration environment can be automatic. You can build and use the code to the server from the branch like you

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2. Tracking bugs

 

At this point I will assume that we have an application code in the github repository.

 

If we have everything configured well, we, as an application owner, must be the owner of the github repository and developer, must have access to it to make the modification needed.

 

So far we haven't seen the reason why GitHub can help us in tracking bugs, but peace of mind, we start now. Each repository in GitHub has a tab called a bug (bug), and yes, we will use it appropriately to register different bugs that occur in your application.

 

We can make new bugs by clicking on the new edition button. From there we can add titles and descriptions. Now this bug will be registered in the repository until someone does something with him.

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3. Automate log bugs

 

So far we have solved a small portion of the problem. Now we have a registry bug, well we as code owners, and developers who will be the person responsible for solving it, we can access.

 

But there are great losses. Now the log bug is something manual. To track bugs, we have to experience it yourself and then go to the repository to register it and write down the details.

 

 

 

Looks like it's not a good idea, right? Above all we have to calculate that there will be bugs that will only appear in certain cases, with what might happen, yes, they will be experienced by other users and not alone.

 

Also no need to mention that the process will make a bug manually into the repository is not a very productive method.

 

Other tools for rescue! In this case about Rollbar. Rollbar is a platform that is responsible for tracking bugs in all types of software. We can use it on websites, desktop programs, and programs running on servers and, of course, cellular applications.

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4. Configure the ROLBAR and connect with GitHub

 

How can we configure both tools to automate logging bugs?

 

First of all we have to make a project on the Rollbar and configure it so that it is linked to a GitHub account. In particular we must link new projects to the repository. This repository will obviously be the one that contains all your application source code.

 

 

Next, we will have a slightly more technical part to be solved by the developer. You must apply the Rollbar library in the application source code. This is a fast job that can be ready in less than 1 day depending on the level of registration you want to follow.

 

What will happen after these steps are complete? Any bug, what happens to each user in your application, will be created automatically in the GitHub repository problem. Automatic logging bugs!

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5. Get more information from each bug

 

Another problem we have without a rollbar which is the small information we have about bugs.

 

For anyone, with or without technical knowledge, it is very difficult to know the glimpse of what causes the application to fail. It doesn't matter if you have technical knowledge. Maybe you can know where the shot runs, it is almost impossible to know the cause at 100%.

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6. Solve bugs and communication with developers

 

Well, now we have seen different tools, the same configuration and what benefits we will get, we will see what day will track application bugs.

 

First of all, we should not have people in charge of recording bugs. Automatically the rollbar will make it like what happens.

 

Each developer x time must consult if there is a new bug and solve it. After the bug is completed and the code has been updated in the repository, the bug will be closed.

 

 

 

This is a standard factor that requests testing, for each of these clients, more information is needed, such as where the network bug provider is detected or screen size where the bug is, etc.

 

Looking for bugs can be fun. The correct documentation along with angular cases will help you maximize the results.

 

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Why an Implementation Blueprint important?

 

Why an Implementation Blueprint important?

The starting point and it is important to consider is to create a blueprint for implementation. This can help in the long term to ensure effective and smooth implementation.

 

Once the blueprint is a sketch, the team will be in a better position to identify the organization's objectives, pain points, and success metrics. They will be able to map business processes with Salesforce solutions and identify implementation project staff, set schedules, and estimates that the budget needs. Practically, it helps to estimate the overall life cycle for Salesforce implementation and ensure that every function effectively mapped on a graph.

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Salesforce implementation needs to be mapped on a variety of reasons, namely, standard functions, custom functions, and modeling of complex data. It holds many implications for an organization and will determine how to provide and operate throughout. A blueprint is a carefully designed plan that helps manage and streamline the process with all the fundamental business objectives in place.

 

Points to consider for the smooth implementation of Salesforce

In addition to creating a blueprint or a broad plan after taking into consideration the business objectives, it is important to consider some fundamental aspects. This will create a Salesforce implementation of collaborative activities and also make everyone in the ecosystem of organizations involved and responsive.

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Communicating with your team

Objectives that have been set, and now you need a plan to achieve the goals set. The first and most important thing is to communicate the benefits and highlights of the software for their respective teams. This will help to buy their approval, which will enable smooth implementation of Salesforce system. These efforts must be established to ensure that there are no hiccups while taking this process forward. If your team is not convinced by the implementation and are not clear about their roles, can certainly create problems and delay the process.

Arrange for test information

It is important to collect diagnostic data to ensure the expected results of the tests. When CRM, Salesforce or in this case, is implemented, it is important to examine the needs, issues, and problems in the system that need to be resolved with the implementation. This requirement should be collected and documented, which can be called at a later stage. Terms can be evaluated on the basis of cost versus benefit and corresponding model prioritized. It also can involve the test data.

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Carry out your tests in isolation

When you have things sorted at the macro-level of organization, it is important to get the gist of the process. While testing the code, it is recommended to isolate the test, which will ensure that they interact only with relevant data for the test. It is also necessary to confirm that your tests do not affect the data may continue to change in the organization. It is good practice to consider as it can be referred to as a constraint when others read your test.

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Manage your tests

There are many tests were conducted to ensure that the software in sync with IT organizations and operational systems. Therefore, it is good practice to arrange anything you might need for your test, including test data for reference. It can be separately called and documented. The next step is to apply this test and finally check the results to confirm the results. Each test has confirmed the expected results, otherwise it does not count.

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Use real user profiles for testing

With Salesforce testing, tests are run at system level and have visibility into the nature of the organization and configuration. Therefore, it is recommended to run tests using several real user profiles as well, which will help to ensure that the test is effective even with the constraints assigned to the profile.

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test automation

repeat testing is required to ensure that the results were consistent even with the kind of changes in the environment. Testing for Salesforce is very important, because it is very important to ensure that there are no fluctuations impact results database consistently. This kind of confirmation difficult with manual testing, where there could be a human error or a fumble. Therefore, the test automation framework and use of automation can be very effective. It is also important to carry out these tests on a regular basis, which in turn will ensure the health of your enterprise applications and issues help improve the way before deployment.

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These phases have their own unique function and purpose

 

1. Waterfall Model

 

This is the most basic process of software development life cycle that is widely followed in the industry. Here the developers follow the order of the process in which the flow is getting to the final destination. It's like a waterfall where there are a number of stages.

 

These phases have their own unique function and purpose. There is, in fact, the four phases - requirements gathering and analysis phase, software design, implementation and testing of programmed maintenance. The fourth phase of this came one by one in the order given.

 

In the first stage all the system requirements are likely to develop certain software recorded and analyzed.

Documents created that action into the next stage of the software design phase. What needs to be emphasized here is that once you move to the next stage will not be possible to update the requirements. So you have to be very careful and cautious about the needs of the end user.

 

profit

 

Easy to implement and maintain.

The initial stage of requirements and a strict monitoring system helps save time later in the development stage

minimal resource requirements and tests are carried out after the completion of each stage.

deficiency

 

It is not possible to modify or update its terms

You can not make changes after you to the next stage.

Unable to start the next stage until the previous stage is completed

2. V Model

 

This model is widely recognized as superior to the waterfall model. Following the development activities and the implementation of the tests performed on side by side in the form of downhill and uphill. In this model, testing began at the unit level and spread toward the integration of the entire system.

 

 

 

So, SDLC is divided into five stages - unit testing, integration testing, regression testing, system testing and acceptance testing.

 

profit

 

Easy to use models since activities such as planning and design of experiments testing is done before coding

Save time and improve your chances of success.

Defects are mostly found in the early stages and flow downward from defects generally avoided

deficiency

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It is a rigid model

Early prototypes of this product is not available for software developed during the implementation phase

If there is a change in the middle of the road, then a test document needs to be updated

3. The Agile Model

 

 

profit

 

Ensure customer satisfaction with rapid development and continuous submission.

It is a flexible model as customers, developers and testers constantly interact with one another

working software can be developed quickly and the product can be adapted to changing needs on a regular basis

deficiency

 

In the case of software development of large and complex it becomes difficult to assess the effort required at the beginning of the cycle

Due to constant interaction with customers, the project can go off track if customers are not clear about the purpose

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4. Spiral Model

 

It is more like Agile models, but with a greater emphasis on risk analysis. It has four stages - planning, risk analysis, and evaluation techniques. Here gather requirements and risk assessment carried out on the ground level and each spiral on build on it.

 

 

 

profit

 

chance of risk aversion increased because of the importance of risk analysis.

Its a good model for large and complex systems.

Depending on the changed circumstances additional functionality can be added at a later date

Software produced at the beginning of the cycle

deficiency

 

Its models are expensive and require highly specialized expertise in risk analysis

It does not work well in simple projects

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5. Rational Unified Process

 

This model also consists of four phases, each arranged in a number of separate iterations. The difference with other models is that each iteration must separately meet the criteria set before the next step is done.

 

profit

 

With an emphasis on accurate documentation of this model is able to resolve the risks associated with the changing needs of clients

Integration takes less time as the process throughout the SDLC.

deficiency

 

The biggest disadvantage is that the team members need to be an expert in their niche.

In large projects the continuous integration, may cause confusion

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6. The rapid application development

 

This is another incremental models such as Agile models. The following components are developed in parallel with each other. Then assembled into product development.

 

profit

 

The development time is reduced due to the simultaneous development of parts and components can be reused

Many integration problems solved because of the integration of early stage

 

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deficiency

 

It requires a strong team of developers is very capable with individual success in identifying business needs

It is a model based modules, which can be modularized so that the system can only be developed in this model

Such as high cost, this model is not suitable for projects cheaper

 Conclusion

 

Model testing software mentioned above is part of the SDLC process. With the increasing awareness and demand for information technology, has delivered more than 100+ types of tests used today in many large companies. This process is constantly changing to suit the requirements, project and preferences.

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How to apply Testing in Real World !

Quite often I receive mails from friends asking for some testing exercises. According to me, if you are alert enough, you can find lots of testing exercises in your day to day life. Can’t agree with me? Read on…

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Today I got an SMS (Forward of course) from a friend. The content of that message was as follows:

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“If you are forced to draw money by a robber in an ATM, then just enter your PIN number in reverse order. By doing so, you will be allowed to withdraw money from you’re a/c and at the same time the cop will be informed! So the cop will reach the ATM in a short while and rescue you.”
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At first sight, this might seem a very useful message. But a tester is always trained and taught to be skeptical about everything. And I am no exception. So how could I take this piece of information as true, without making further observations/investigations?

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So I put on my tester’s shoes and tried to analyze it. And here are my observations:

1. If this was true, then I should have known this before. Because, if it was true, the bank should have informed me about this when I created my a/c and was given my ATM card. How could they miss to transfer such an important instruction?

2. There are hundreds of banks world over. But this SMS never told about the bank which provides this facility. That meant this information was surely incomplete (if not incorrect).

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3. At some point, the SMS tells about entering reverse PIN number in order to activate some security system. At first sight, this sounds like a brilliant method. Isn’t it? But just think for a while, and you will know this can’t be right. If this was true, then how about the PIN numbers like 1001, 2002, 1221, 2332, 1111, 2222 and so on… (Palindromic Numbers) (these are my test data). If my PIN is one of those palindromes, then how to activate that security mechanism? Then I thought one work around for this is to disallow Palindromic numbers as your PIN. But the idea itself sounded stupid. Simply because, there are lots of Palindromic numbers within 9999 (the maximum possible PIN Number). And I have never seen a message in an ATM machine restricting me from using a Palindromic number as my PIN. But I did not want to believe that argument of mine, without actually seeing (executing my test case with my pre-set test data) it. So I immediately rushed to my nearest ATM counter and tested this. And I found that there is no such restriction for such numbers (test case passed!). Then I checked the same test with two other bank a/c ATMs (regression testing!). And as expected here also my test cases passed! This test almost made me sure about the inaccuracy of the SMS message.

4. Just as some additional arguments to strengthen my point, I again looked at the SMS again. And there it is. If at all we accept this message to be true, still then do you think that “the cop will reach the ATM in a short while and rescue you”, keeping in mind that this is India?

There are still lots of information left in the message which prove that the information is a hoax. So I would like to leave them for my readers and would like to see, how they use their testing skills to find them out.

Hints: Always use the 3 basic weapons of a tester. i.e. Observe, Analyze and be Skeptical.

There are lots of testing exercises lying around loosely in your own life too. Try to identify them and try to test them using your very own testing skills.

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When should I begin load testing?

 

When should I begin load testing?

 

What is the best strategy for load testing invest in a realistic test or take a quick and dirty approach?

Many testers to realistic goal, but the establishment of a realistic simulation can be time and effort. This can significantly delay the tests, leading to serious risks. As Kent Beck and Cynthia Andres seen in Extreme Programming Explained, catching problems early cost less to fix the end of the development lifecycle.

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I would say that in many cases, this approach gives better results. We can spend 20 percent of our effort typical test setup and still learn 80 percent of what we know and we can find problems when they are still cheap and easy to fix.

The 80/20 rule for performance testing

The 80/20 rule, also known as the Pareto principle states that for many things, 80 percent of the effects are derived from 20 percent of cases.

Creating a load test script can be a great example of the Pareto Principle in. Configuring a load test is difficult. There are tons of settings you can change to get the kind of user behavior and simulation you want.

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Many people approach the load testing with the aim of perfectly simulate reality in their load test, so they will learn exactly how real users their production system will be able to handle.

Unfortunately, simulating reality is difficult, which means that it takes time and effort to develop such a test, and many times even a major effort fall short and miss a critical aspect that causes unrealistic simulation .

The end result can be an extremely costly and / or time load test which might not even give you the results you want. Organizations that spend tons of time and money on a load test are not likely to do any load testing, except when it is necessary.

Often, this will be just before the launch, when there is little time to correct any problems and the cost of fixing them will be high because the problems are at a late stage.

Simplify testing and start early

Here's where the Pareto principle comes into play: if you do not try to simulate reality perfectly, your configuration will be much simpler. You can just spend only 20 percent of the up the load test development effort.

The result you get may not be a number that you say exactly how many users your site could manage the production, but it is likely to tell you if your performance is below target, and it will highlight your chances bottlenecks throttle.

Because the test is much simpler to set up and run, you can run several tests at different stages of development and learn much in total you have learned from a single test.

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Being able to run other tests earlier to detect and fix performance problems earlier, and fixing a matter as soon as possible usually means a time-saving development, resulting in lower total cost of the project. More frequent testing will also result in a team that is generally more confident and involved in product performance.

Best practices for load testing

It was a lot of abstract ideas, soft, but how do you really?

The simulated user in your test could be much more static in behavior that a real user may simply access a page set or sequence content without randomization. Or you can have your simulated users access a randomly selected page on your site, choosing to ignore the fact that some pages are visited much more strongly than others.

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If you are testing an API driven application (such as a mobile app), you may find it best not to worry about user flow and instead of trying to end-point is the exercise as a PLC mixture or perhaps even individually.

. Then do the same for each endpoint (you can exercise over multiple endpoints in the same test if you want).

The absolute easiest test you can do is hammer one end point of the API at a time. This is easy to setup, but if you run this test several times to each major evaluation criteria and at an early stage in the development of your application, you will be sure to come your release date of the performance.

Build realistic simulation

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There is certainly value in the execution of more complex tests, but I would say if you are not being simpler execution, load testing and stress more frequently, then you should probably start there before going for large scale, complex tests that closely simulate reality. Simple tests are the result of low hanging here:

• Execution of simple tests means that each test requires less time and effort

• Less time and effort by test means you can run more tests

• Other tests give you more opportunities to iterate and optimize your test setup

• More and more small tests also allow you to run earlier in the development process tests, catching problems earlier and reduce both the cost of fixing problems and the risk of sliding delivery dates

The implementation of several simple tests you learn a lot about how to go to the most complex, large-scale tests as well:

• You will better understand what kind of traffic puts stress on your rear end and what does not work

• You will see how your rear end and react know where to look, what functionality registration to use, and generally how to get the most out of your tests

This means that when it comes time to perform a complex test, large scale, you will be better prepared to do. The large load test high-risk venture will become weaker and smaller than ever.

Do not let perfect be the enemy of the good

Realism is a good goal, but do not lose sight of the compromise. If you expect the test until you have a perfect simulation, you miss opportunities to solve problems. Look for ways to start with simple tests instead, then build to more complex simulations.

Keep in mind that early screening is no panacea, either. Problems can creep in late in the development and continuous testing can avoid last minute corrections.

 

Finally, remember that you have limited time and a demanding schedule. If you can get 80 percent of the results with 20 percent of the work, you will have more time to address other pressing problems.

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How Can We Trust Testing AI Bots?

The cornerstone of the testing is trust. For the test to be value, we must believe in the output of the test. So how do we believe in testing the AI?

Vighnesh Sreekanta, chief scientist at test.ai, address this question in Automation Guild in 2019 with "Test Machina" talk.

experienced AI

As already mentioned, to use AI effective in testing, we have to get familiar with it. Here are some of the applications and tools that have nothing to do with testing; people can use this to get a sense of what the AI ​​does.

Drawing fast!

Okay, this one's fun.

In a presentation Sreekanta described above, it uses Google's tools. In it, you are challenged to draw objects in 20 seconds. During that time, the AI ​​try to guess what the picture is.

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One great way to get familiar with something is to play, and this is a fun tool for it.

taught Machines

Taught Machine is another experiment from Google. This site allows you to try a training model for machine learning. Classifying video samples, photos, or sound to train a machine-learning algorithm. Then give it a try and see how it works.

Of course I had to try this! This site allows using your own video cam to record images. I made a picture holding a solved Rubik's Cube, the cube partially solved, and solved cube, all from different angles. Then I picture are classified into two groups-solved and unsolved.

It was a tremendous job of classifying the new image of the cubes in the new configuration. Of course, as a tester, I can not help but try to confuse it, and I did.

This machine is very well taught to quickly set up the machine to learn and experiment with it. Learn how AI as such can work for you or against you. If you are using AI-enabled testing now or are considering it, this would be a great way to get familiar with the ups and downs of ML.

ML is the most unlimited area for exploratory testing I found.

Know your tools.

Weka

Weka is Waikato Environment for Knowledge Analysis, created and managed by the New Zealand University of Waikato. Use it to explore the data with machine learning. ML You can use different algorithms, configure them, and train them in the dataset.

Weka is the first tool I used to begin to understand ML. While the user interface has room for improvement, do not judge a book by its cover. The strength of this tool goes far beyond appearances.

AI AI in Tests and Testing Meetup - Santa Clara, California

Meetups are a wonderful way to learn, and because of the pandemic, most meetups are now virtual, which means you can join them from anywhere.

The only AI in testing meetup I find is one of the hosts in Santa Clara, California. Last month, they talk about "Creating Deployable Classifier uses Tensorflow Jira Bug." I can not wait to see what's next for this group!

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AI tool

The most AI tool is a commercial, for several reasons. Total team effort put into building the AI ​​tool for testing very large, and gifts to customers can be greater than the price many times. Kevin Surace, CTO of Appvance, explains that his company AI tool consists of about 4 million lines of code and took about 250,000 engineering hours to develop.

I believe there will be a lot of AI-based, test-help tool in the open-source market over the next few years. But for now, here are some tools that can help.

 

Test.AI Classifiers

Test.ai classifier using machine learning to match elements on a web page. These classifiers are available in a number of different languages.

 

TensorFlow

Want to use machine-learning API to test your own ideas? TensorFlow is one API to get in there to quickly apply the model ML.

AGENT

AGENT is an abbreviation of "AI Generation and Exploration in the Test." Search this bot generator to test your site on GitHub repo Raja Tariq.

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