Showing posts with label UNIT TESTING. Show all posts

Thursday, 3 June 2021

What is Unit Testing? Unit Testing Tools and Types

Unit testing

The process of testing each software unit is called unit testing. This will be done during the development of software applications. According to programming procedures, a unit may be an individual function of the software.

Monday, 3 May 2021

What to Look for in Mobile Testing Tools?

What to Look for in Mobile Testing Tools?

How do you find the right tool for the test script generation? Start by paying attention to the following features - they are vital for testing a successful cellular application.

Thursday, 4 February 2021

Why Do API Virtualization and Service Virtualization Require Testing?

Customer acquisition is a fundamental part of the business. If potential customers visiting the webpage cannot see it in full, or cannot take their preferences in seconds with a little 10, they will come out and chances are not back.

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A broad study highlighted by the telegraph claimed that the span of human attention had fallen further. Goldfish, meanwhile, is believed to have a span of ninth-second attention." Write a telegraph.

Testing ensures that such problems are mitigated and preferred, even eradicated. According to a study conducted, improving the quality of the software and sharing knowledge throughout the team is the biggest benefit of working in the agile methodology. Agile methodology is increasingly applied to various software functions. The methodology has also been applied to the application programming interface (API).

In this period of Lean and agile methodology, it is important to note that fire virtualization is not mocking; This brings identical functionality and performance as the actual API, at certain times.

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API can reform all levels of organizational service offers. API virtualization aims to replicate the minimum behavior of one or more fire points. This is an easy, affordable, and efficient way to test fire. Such fire virtualization involves the testing team, development, and operation to provide great fire.

The following are the advantages of API virtualization:

This reduces the risk of production fire

This speeds up shipping time

This reduces project costs

Lower costs implicate a shorter approval process. It also makes lightweight software, and thus easily applied. There are also ease of use and lower employee training costs and the time involved.

In a survey conducted, where the question asked is "What you believe is the most important thing that the company can do to develop the quality of the software?",

Unit testing

Functional testing

Sustainable integration

Integration test

Service virtualization emphasizes that "faster may not always be better". It's not easy like 'providing content quickly' when it comes to improving online buyer experiences. Order, design, context, all need to be considered where the content contains and reduces the use of dynamic content without collecting user interest.

The range of API SmartBear readiness tools is a power that must be taken into account. Tools such as service sites and warnings, along with the entire array of other tools, offering various aspects of testing, such as:

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Fire load test

Fire testing in code

Fire security test.

Service virtualization.

Functional Fire Test

Monitoring fire performance

Define, build, and manage fire

Friday, 8 January 2021

Types of functional testing

In software testing, functional testing is a practice that provides great benefits for the development process. After being done correctly, it improves communication between analysts, developers, and testers. The progress of the entire project is objectively seen at any point for management by checking the functional tests passing (and fail). Finally, the development speed increases because the requirements that are well communicated produce less work back. Tests also encourage more modular architecture with subsystems that have clear responsibilities.

This blog determines the scope of various types of functional testing, their interests and when to do. For example, smoke testing is done on each build that is sent to QA because it verifies the functionality at a high level while regression testing is carried out when bugs are repaired in the next release.

Functional testing type:

Unit testing

Component testing

Smoke testing.

Integration test

Regression testing

Sanity testing.

System testing

User acceptance testing

Unit testing

Unit testing ensures that each part of the code developed in the component provides the desired output. In testing units, developers only view interfaces and specifications for components. This provides code development documentation because each unit of this code is really tested independently before advancing to another unit.

Smoke testing.

Smoke testing is carried out on the 'new' build given by the developer to the QA team to verify whether basic functions work or not. This is one type of important functional testing. This must be the first test to do in new buildings. In smoke testing, the test case selected covers the most important functionality or components. The aim is not to carry out complete testing, but to verify that the critical functionality of the system functions properly.

Smoke testing.

If the build passes through smoke testing, it is considered a stable building. In a stable building, the QA team performs functional testing for new features / functionality added and then testing regression depends on the situation. But if the build is not stable i.e. Smoke testing failed, the build was rejected and forwarded to the development team to correct development problems and make new buildings. Let's understand better with an example.

Integration test

Integration testing is done to test individual components to check how they function together. In other words, it is done to test the module that works well individually and does not show bugs when integrated. This is the most common type of functional testing and done as automatic testing.

Regression testing

Every time the developer changes or modifies the function / features, it is likely that this update can cause unexpected behavior. Regression testing is done to ensure that changes or additions have not damaged existing functionality. The aim is to find a bug that might be accidentally introduced into the existing build and to ensure that the bug that was previously deleted continued to die. There are many functional testing tools available that support regression testing.

Sanity testing.

When a new building was received with small modifications, instead of running a comprehensive regression test suite, we conducted a sanity test. It determines that the actual modification has fixed the problem and there is no further problem introduced by improvement.

System testing

System testing is a test carried out on a complete and integrated system to evaluate its compliance with the specified requirements.

Tuesday, 24 November 2020

How to plan a testing approach for service

My overall experience in testing has taught me one thing: the overall culture of testing in any organization is strongly influenced by the applicable testing approach, regardless of how they imagine testing automation and how they plan to collaborate outside the development team.

This means retrospecting the current process, complete and decide on a new test approach and determine the level of testing, roles and responsibilities of team members.

But first of all, let's disconnect the test method that can provide a maximum value when automatically. Different testing methods can be used for various levels of testing.

Unit testing

Testing units is the backbone of each testing automation strategy in agile that provides the team with the highest ROI. This test uses small code (both functions or methods) that can be written, run by the developer, and maintain.

For example, if you are building a building, a unit might refer to cement. This cement is a functional part of the code that is irrelevant outside the context. You can test this gray powder separately to check whether hardening after mixing with water.

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Likewise, each unit must be tested individually, but this will not give you a house. Testing units will give you observations at the granular level that is important for developers, no matter how useful for product owners. It is recommended to run this test locally and in building.

Regression testing

Imagine yourself updating your product build. Now, you return to your product to check new functionality only to land with disappointment because of the features you have used since the age of stopping work.

Every time you introduce new functionality to your product, you need to check whether it is damaged or creating the features. Because the regression test returns investment after each update of manufacturing, they must be a second priority after the unit test.

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Component testing

Let's take building a house metaphor a little further. You have tested bricks, cement, tiles, and everything needed to build a house. Will all these ingredients produce a house after they gather together? And does it look like home?

Component testing does not care about the quality and quantity of this entity. This only tests the overall business value.

Tip-testing

Imagine a house. A house will have all kinds of parts - bathroom, terrace, dining room, kitchen, etc. Each of these areas is easily accessible? For example, someone who is looking for a bathroom causes him actually find a way for that? The most concerned about the end-to-end test is to see whether all product components can interact with each other in the correct order.

As suggested, this type of testing is slow because of testing the entire business stream from the beginning to the end. This is definitely an effective way to verify system interactions, but only when you don't have too many systems.

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We always run this test in our release pipe after the system is deployed. You can also run it locally if the architectural pattern you need.

As said before, the end-to-end test is very complex. So how do you overcome this? Well, a solution that has been successful for us is to choose tools that are easy to use, maintained, and scale to ensure long-term success.

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Integration / API testing

Integration and fire testing allows you to test how well the system works with an external system. In other words, how stable your system is when it comes to interacting with fire.

Because modern software development depends on fire & SDKS to a larger level, validating business logic as a whole and application behavior is very important.

The best way to execute this test is to run it before using the system in your release pipe. We often automate fire tests that are repeatedly executed such as regression cases. The general test case where we run automatic API testing is an area where code changes directly affect the API function.

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Cross-browser testing

Check the functionality of your application through several browsers / OS / Device / screen resolution is not a brainer. Doing this test manually is a time consuming task. But what if you want to do it on a scale at high speed? The answer, automates cross-browser tests.

Automatic cross-browser testing has greatly increased the coverage of the test and reduced our testing and time of 80%. Leverage Power of Test Automation by testing the most commonly used combination of your target users. Another focus area must test high-risk features.

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Smoke testing.

We did a smoke test to verify and get instant feedback about the build system. This ensures that all important functions (configuration, permission, .net framework, etc.) works correctly.

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Monday, 9 November 2020

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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Wednesday, 4 November 2020

Unit Testing versus Functional Testing

unit tests tell developers that the code is doing the right thing; functional tests tell developers that the code is doing the right thing.

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unit tests:

unit tests written from the perspective of a programmer. They ensure that the particular method of a class successfully conducted a series of specific tasks. Each test confirms that the method of generating the expected output when given input is known.

Write a suite maintained, automated unit tests without a testing framework is virtually impossible. Before you begin, choose the one team you agree on. You will use it constantly, so you better like it. There are some unit-testing frameworks available from the Extreme Programming Web site. I am most familiar with is JUnit for testing Java code.

functional tests:

functional tests written from the perspective of the user. These tests confirm that the system does what the user expects to.

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Many times the system development is equated with the construction of houses. While the analogy is not quite right, we can extend for the purpose of understanding the difference between unit and functional tests. Unit testing is analogous to building inspectors visited the construction site of this house. He focused on the internal system house, grounds, framing, electrical, plumbing, and so on. He ensures (tests) that parts of the house will work correctly and safely, ie, meet the building code. functional tests in this scenario is analogous to the homeowner visited the construction site of the same. He assumes that the internal systems will behave appropriately, that the building inspector is doing its job. homeowners focused on what it would be like living in this house. He is concerned with how the house looks, is the different rooms a comfortable size, not the house in accordance with the needs of the family, is a window in a good spot to catch the morning sun. homeowners perform functional tests at home. He has the perspective of the user. The building inspector is doing unit tests at home. He has a builder's perspective.

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As a unit test, write a suite maintained, automated functional tests without a testing framework is virtually impossible. JUnit is very good in unit testing; However, it is unpacked when trying to write functional tests. There is no equivalent to JUnit for functional testing. There are products available for this purpose, but I've never seen these products are used in a production environment. If you can not find a testing framework that meets your needs, you have to build one.

No matter how smart we build our projects to work on, no matter how flexible system that we build, if what we produce is not usable, we have wasted our time. As a result, functional testing is the most important part of the development.

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Monday, 12 October 2020

5 factors which are used by software testing companies for unit testing ???

In testing the software, Micro testing techniques should be given much attention as a manifesto Macro. Unit testing is one of the processes that stand out from the micromanagement in testing.

In this article, we will learn about some of the good practices to apply when performing unit testing. Writing code is a good test unit and efficiently is an important task in the overall testing process. For that, first, we need to understand what 'unit testing'.

In essence, Unit testing is done on a smaller unit than the overall system for checking the overall performance of the system. Integration of each code with the entire architecture tested.

Now, let's try to define the unit testing and see the best pointers to consider when doing so.

What Unit Testing?

Definition: The behavior of each component of the verification software, which includes all the software functionality. It consists of three parts:

initialization:

isolation test

As indicated by its name, each test case should be independent of the others. One can decide on sorting technique as it suits him / her but the cluster must be made and test cases should be defined separately for aiding the process.

If it does not happen in the way mentioned above, the behavior of any case affects other cases. Do not put in an overstatement. The statement must be in accordance with the particular behavior of the application and must be run in isolation.

This step should include a statement multiplication function.

High speed

This method does not work if the test is done at a slow pace because they are designed to do a few times to make sure all errors are eliminated. If done slowly, the overall execution time will increase.

Here Using flow concept is a good idea. By using the concept of flow, one can exponentially increase the speed of the entire execution process.

high Readability

Readability is always the necessary criteria for unit testing. A test unit must be clear and concise. It should be right indicating the status of the test at any point of time.

One must quickly get what the test is trying to convey. Complex words and phrases use difficult is the last thing that you need to write test code. Readability should always be a priority when writing tests.

A proper name should be given to the case of a given test. Also, every little variable must be named correctly. It should be logical and easy in words. It should show the functionality and operation of the test.

Good Test Design

Just because they are the design of the test, it does not mean that they should be given secondary preference. Design test unit tests should be designed with the same intensity as the production test. A good framework should be exercised when doing this.

Coupling between production code and test code to be low. Dead code should be eliminated to improve efficiency. Memory should be conducted and managed efficiently with time. Maintenance and re-factoring be refined later if you have a good code base.

high Reliability

Unit testing must be highly reliable and to be clear in what order they are declared in the Subscribe.

Many a time, the scenario faced by the developer in which the test failed even in the absence of errors / bugs in the software. Sometimes, the case of certain unit works fine when running individually but failed to deliver the expected results when integrated with the rest of the architecture.

This occurs when there is a flaw in the system design prize. Make sure the technical side of the process is robust and reliable.

Conclusion

These are 5 tips from us to write and perform a good unit testing. By following these practices, you will be able to implement the unittesting process much smoother. It will also help you in keeping the code at the end of the process.

Only by considering these 5 tricks, you will experience a radical change in execution time. This will ultimately reduce the cost of the process and thus give out an optimal and efficient way to execute unit testing.

How can I help SAPIZON

Here, in SAPIZON, we focus on micromanagement much as we do on things bigger. Unit testing requires detailed knowledge and attention of the testing team. Our team filled with professionals with expertise in the second test, the Micro and Macro testing.

Team testing in SAPIZON technically sound with good managerial sense. SAPIZON it!

About SAPIZON

SAPIZON is catering to independent software testing company for product and services teams around the world. We are a team of software testers who are passionate about quality and love to the test. We developed a deep understanding of the application under test and includes strategies of software testing services that provide quantitative results.

In short, we help build outstanding software.

Wednesday, 13 May 2020

Testing Types That Every Functional Testing Company Should Practice

functional testing solutions are considered to be the central part of quality control and test management. But with the gradual revolution in the IT industry, the quality control teams have begun to consider functional testing only a subset of software testing.

Each passing day brings a new website or application on the market and people do not find it difficult to move from your favorite application to another. There is no denying, is all about the user experience and smooth functionality of a software application to the end.

Quality control can not be handled without the involvement worthy of a functional tester, since functional tests is a strong point of management quality control. A functional tester performs the tests are very important because they correspond directly with business requirements.

The test data identifies a specific input (expected requirements is met) in the result of which is carried out a set of strategies to extract the required output (the requirements worked). A the end, the results are calculated and a product that meets the functional requirements is formed. This is how the durability quality and application performance is judged.

In simple words, the company functional tests are essential to improve the quality of the product.

However, it would be necessary to say that this technique is not updated when testing is still helping in catching insects leave unidentified code reviews.

For flawless functional test, all companies must meet the following test types to practice efficiently the testing process:

Unit Testing / Testing based on 1 functions.

It may be referred to as the most important, however, the type of test easier functional test in which each step and the portion of the test case is controlled separately. For example, you can take a data set and put their values both legally and illegally only to identify their individual effect throughout the test case.

2. Integration Testing

Faced with unit testing, integration testing focuses on the many types of software units and evaluates a way to tell if they are interacting with each other only according to functional requirements.

3. Smoke test

This is the initial test of the main units of software to ensure if the product has no hidden alarming errors. Type smoke test indicates the density of smoke rising (threat) in the test case covering an unstoppable fire (large error) under the hood.

4. Regression testing

Regression testing has a very strong role throughout the test cycle. It works for any functional change occurred after fixing errors or quality improvements. It is generally performed after testers are made with defect management and improved running on the interface of the product.

5. Testing for sanity

It sanity tests is based on very sane and decisions related to future deep, on quality control of the product. It is a subset of regression testing that helps in making decisions narrow and sharp after errors are detected. Provides a proactive review of the changes to be made in a particular product, it focused on saving save time and money.

It is crucial not to leave any ancient technique that is still a great help!. Wrapping each engineer and QA software tester should opt for all types of aforementioned tests during a series of functional tests.

Before running the test cases, make a list of such proof and do not forget to practice these to achieve rapid testing process and concrete.

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