NDLI: Dynamic Analysis of Algebraic Structure to Optimize Test Generation and Test Case Selection

Content Provider	IEEE Xplore Digital Library
Author	Simons, A.J.H. Wenwen Zhao
Copyright Year	2009
Abstract	Where no independent specification is available, object-oriented unit testing is limited to exercising all interleaved method paths, seeking unexpected failures. A recent trend in unit testing, that interleaves dynamic analysis between each test cycle, has brought useful reductions in test-set sizes by pruning redundant prefix paths. This paper describes a dynamic approach to analyzing the algebraic structure of test objects, such that prefix paths ending in observer or transformer operations yielding unchanged, or derived states may be detected and pruned on-the-fly during testing. The fewer retained test cases are so close to the ideal algebraic specification cases that a tester can afford to confirm or reject these cases interactively, which are then used as a test oracle to predict many further test outcomes during automated testing. The algebra-inspired algorithms are incorporated in the latest version of the JWalk lazy systematic unit testing tool suite, which discovers key test cases, while pruning many thousands of redundant test cases.
Starting Page	33
Ending Page	42
File Size	422977
Page Count	10
File Format	PDF
ISBN	9780769538204
DOI	10.1109/TAICPART.2009.28
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-04
Publisher Place	United Kingdom
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Software testing System testing Java lazy systematic testing test case selection Optimization methods unit testing JWalk dynamic analysis Computer science test generation Automatic testing Feedback Failure analysis Object detection Computer industry
Content Type	Text
Resource Type	Article

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