Concept: Levels of Test








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Concept: Levels of Test















This guideline categorizes testing activities into Developer, Independent, Unit, Integration, System, and Acceptance Testing.






Relationships



Related Elements


Test


Test and Evaluate


Test and Evaluate


Validate Build Stability


Validate Build Stability


Verify Test Approach


Verify Test Approach






Main Description



Testing is applied to different types of targets, in different stages or levels of work effort. These levels are distinguished typically by those roles that are best skilled to design and conduct the tests, and where techniques are most appropriate for testing at each level. It's important to ensure a balance of focus is retained across these different work efforts. Developer Testing Developer testing denotes the aspects of test design and implementation most appropriate for the team of developers to undertake. This is in contrast to Independent Testing. In most cases, test execution initially occurs with the developer testing group who designed and implemented the test, but it is a good practice for the developers to create their tests in such a way so as to make them available to independent testing groups for execution. Traditionally, developer testing has been considered mainly with respect to unit testing. While some developers also perform varying levels integration testing, this is largely dependent on culture and other context issues. We recommend that developer testing should cover more than just testing independent units in isolation. Independent Testing Independent testing denotes the test design and implementation most appropriately performed by someone who is independent from the team of developers. You can consider this distinction a superset, which includes Independent Verification & Validation. In most cases, test execution initially occurs with the independent testing group that designed and implemented the test, but the independent testers should create their tests to make them available to the developer testing groups for execution. Boris Beizer gives the following explanation of the different objective that independent testing has over developer testing: "The purpose of independent testing is to provide a different perspective and, therefore, different tests; furthermore to conduct those tests in a richer [...] environment than is possible for the developer." [BEI95] Independent Stakeholder Testing An alternate view of independent testing is that it represents testing that is based on the needs and concerns of various stakeholders. Therefore it's referred to as Stakeholder Testing. This is an important distinction-it helps to include a broader set of stakeholder concerns than might traditionally be considered, extending the somewhat generic "customer" with stakeholders such as technical support staff, technical trainers, sales staff in additional to customers, and users. As a final comment, XP's notion of customer tests relates to this categorization of independent testing in the RUP. Unit Testing Unit testing focuses on verifying the smallest testable elements of the software. Typically unit testing is applied to components represented in the implementation model to verify that control flows and data flows are covered, and that they function as expected. The Implementer performs unit testing as the unit is developed. The details of unit testing are described in the Implementation discipline. Integration Testing Integration testing is performed to ensure that the components in the implementation model operate properly when combined to execute a use case. The target-of-test is a package or a set of packages in the implementation model. Often the packages being combined come from different development organizations. Integration testing exposes incompleteness or mistakes in the package's interface specifications. In some cases, the assumption by developers is that other groups such as independent testers will perform integration tests. This situation presents risks to the software project and ultimately the software quality because: integration areas are a common point of software failure. integration tests performed by independent testers typically use black-box techniques and are typically dealing with larger software components. A better approach is to consider integration testing the responsibility of both developer and independent testers, but make the strategy of each teams testing effort does not overlap significantly. The exact nature of that overlap is based on the needs of the individual project. We recommend you foster an environment where developers and independent system testers share a single vision of quality. See Concept: Developer Testing for additional information. System Testing Traditionally system testing is done when the software is functioning as a whole. An iterative lifecycle allows system testing to occur much earlier-as soon as well-formed subsets of the use-case behavior are implemented. Usually the target is the system's end-to-end functioning elements. Acceptance Testing User acceptance testing is the final test action taken before deploying the software. The goal of acceptance testing is to verify that the software is ready, and that it can be used by users to perform those functions and tasks for which the software was built. See  Concept: Acceptance Testing for additional information. There are other notions of acceptance testing, which are generally characterized by a hand-off from one group or one team to another. For example, a build acceptance test is the testing done to accept the hand-over of a new software build from development into independent testing. A comment about sequence and timing of test levels Traditionally, unit testing is thought of as being implemented early in the iteration as the first stage of testing: all units required to be passed before subsequent stages are conducted. However, in an iterative development process, this approach is as a general rule, inappropriate. A better approach is to identify the unit, integration and system tests that offer most potential for finding errors, then implement and execute them based on a combination of greatest risk and supporting environment.





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