Software applications and products are developed as per the client's requirements by the development team. The ultimate goal of any software development is client satisfaction and delivery as per the client's requirement and with quality. Testing helps to evaluate the application, system, or product with the client to check if it meets the specified requirements.
|Table of Content - Software Testing Life Cycle|
Software Testing is a process for identifying errors, bugs, defects, gaps, or any missing requirements as compared to the actual requirements given by the client. Software testing is an important aspect of software development. A software testing life cycle is not an isolated activity. It is a series of actions performed during the testing phase of the SDLC to confirm that the software or the product meets the quality goals. The importance of testing in SDLC is to identify all the errors and bugs in an application or software by improving its performance and enhancing reliability.
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A tester performs two types of testing to eliminate bugs/errors. Broadly, there are two types of testing - functional and non-functional.
Functional testing is performed to test the functional aspects of a software application. Every function should be tested to verify if the functional requirements are met. There are various types of functional testing.
Non-functional testing is done to test the performance, reliability, security, and usability of the application. This testing helps to improve the quality of the application. Non-functional testing is performed using certain tools and not done manually.
The software testing life cycle is a part of the software development lifecycle (SDLC) which only deals with the testing aspects. Software Testing Life Cycle (STLC) is a critical phase in every organization which deals with software development or product development. It is done by the testing team to ensure the software or product is as per the quality standards. The testing life cycle has a series of steps or stages.
These phases or stages may differ from organization to organization. A tester can choose the testing type based on the software application or the product under development. The application or the product should meet the quality standards as specified by the client.
Software Testing Life Cycle is a series of tests conducted during the STLC. The testing cycle has various stages. Each stage has certain entry and exit criteria. The criteria have some activities and deliverables associated with them.
The entry criteria define all the prerequisites to be completed to start a test phase. In the entry criteria, all the source codes go through unit testing. The quality assurance professionals have sound functional knowledge of the product/application/ software developed. The test plans and test cases should be studied. The application hardware and software should be in place. All the testing tools should be installed successfully. A proper testing environment must be there. Testers should know the workflow.
The exit criteria define all the prerequisites to be completed before completing testing in a specific phase. All the deliverables should be ready for meeting the exit criteria. There should not be any defects/errors/bugs. All the high severity and high priority errors are fixed.
The different phases of the Sofware testing life cycle are
Generally, the stages in an STLC are requirements analysis, test planning, test case development, test environment setup, test execution, and test cycle closure.
Requirement Analysis is the first stage in the STLC. In this stage, the testers identify all the testable requirements. The quality assurance professionals will interact with all the stakeholders like system architects, end clients, business analysts, etc. to understand all the requirements in-depth.
Once the requirements are identified and specified, they should be categorized into functional and non-functional tests. Testing priorities should be defined.
Test Planning is the next phase in the software testing life cycle. Once what needs to be tested is determined, the quality assurance professional will prepare a test plan. The senior quality assurance professional will prepare estimates for work (time and cost) and determine a test strategy.
The Test design phase is the next in the STLC. In the test design phase, test cases and test scripts are developed. The test data is gathered. The requirements traceability matrix has to be updated with which test should be conducted with which script and test case.
After test cases are designed and developed, the Test Environment is Set Up. The software and hardware are determined to test the application or product. The test environment setup can be done parallelly with the test case development. Alternatively, the client-side can provide the test environment by providing the required hardware and software.
All the errors, bugs, and defects are tested based on the test plans in the Test Execution Phase. The test scripts and test cases are used. The defects are mapped to the test cases in the requirements traceability matric (RTM)All the errors/bugs/defects will be reported back to the developers for fixing and once fixed, retesting is done. The requirement traceability matrix is updated.
The Test Closure Phase is the last stage in the STLC. In this stage, all the functional and non-functional tests are completed and closed. In this final stage, the testing team will analyze the testing activities done in each phase. The lessons learned in each phase will be documented for future testing activities on similar applications in future.
An STLC is an integral part of the SDLC. The phases mentioned are applicable in most organizations. The sequence of the phases can be one after another or some phases can run parallelly. Once the STLC is successful, only then the application or the product can be installed or deployed. Hence, STLC is a critical phase of the SDLC.
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Madhavi Gundavajyala is a Content contributor at Mindmajix.com. She is passionate about writing articles and blogs on trending technologies, project management topics. She is well-versed on AI & Machine Learning, Big data, IoT, Blockchain, STLC, Java, Python, Apache technologies, Databases.
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