- Lazy systematic unit testing
Lazy Systematic Unit TestingA J H Simons, JWalk: Lazy systematic unit testing of Java classes by design introspection and user interaction, "Automated Software Engineering, 14 (4), December", ed. B. Nuseibeh, (Boston: Springer, 2007), 369-418.] is a software unit testing method based on the two notions of "lazy specification", the ability to infer the evolving specification of a unit on-the-fly by dynamic analysis, and "systematic testing", the ability to explore and test the unit's state space exhaustively to bounded depths. A testing toolkit
JWalkexists to support lazy systematic unit testing in the Java programming language"The JWalk Home Page", http://www.dcs.shef.ac.uk/~ajhs/jwalk/] .
Lazy specification refers to a flexible approach to software specification, in which a specification evolves rapidly in parallel with frequently modified code. The specification is inferred by a semi-automatic analysis of a prototype software unit. This can include static analysis (of the unit's interface) and dynamic analysis (of the unit's behaviour). The dynamic analysis is usually supplemented by limited interaction with the programmer.
The term Lazy specification is coined by analogy with "
lazy evaluation" in functional programming. The latter describes the delayed evaluation of sub-expressions, which are only evaluated on demand. The analogy is with the late stabilization of the specification, which evolves in parallel with the changing code, until this is deemed stable.
Systematic testing refers to a complete,
conformance testingapproach to software testing, in which the tested unit is shown to conform exhaustively to a specification, up to the testing assumptionsA J H Simons, A theory of regression testing for behaviourally compatible object types, "Software Testing, Verification and Reliability, 16 (3), UKTest 2005 Special Issue, September," eds. M Woodward, P McMinn, M Holcombe and R Hierons (Chichester: John Wiley, 2006), 133-156.] . This contrasts with exploratory, incomplete or random forms of testing. The aim is to provide repeatable guarantees of correctness after testing is finished.
Examples of systematic testing methods include the
Stream X-Machinetesting methodF Ipate and W M L Holcombe, Specification and testing using generalised machines: a presentation and a case study, "Software Testing, Verification and Reliability, 8 (2)," (Chichester: John Wiley, 1998), 61-81.] and equivalence partitiontesting with full boundary value analysis.
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