NDLI: Cause Reduction for Quick Testing

Content Provider	IEEE Xplore Digital Library
Author	Groce, A. Alipour, M.A. Chaoqiang Zhang Yang Chen Regehr, J.
Copyright Year	2014
Description	Author affiliation: Sch. of Electr. Eng. & Comput. Sci., Oregon State Univ., Corvallis, OR, USA (Groce, A.; Alipour, M.A.; Chaoqiang Zhang) \|\| Sch. of Comput., Univ. of Utah, Salt Lake City, UT, USA (Yang Chen; Regehr, J.)
Abstract	In random testing, it is often desirable to produce a "quick test" -- an extremely inexpensive test suite that can serve as a frequently applied regression and allow the benefits of random testing to be obtained even in very slow or over-subscribed test environments. Delta debugging is an algorithm that, given a failing test case, produces a smaller test case that also fails, and typically executes much more quickly. Delta debugging of random tests can produce effective regression suites for previously detected faults, but such suites often have little power for detecting new faults, and in some cases provide poor code coverage. This paper proposes extending delta debugging by simplifying tests with respect to code coverage, an instance of a generalization of delta debugging we call cause reduction. We show that test suites reduced in this fashion can provide very effective quick tests for real-world programs. For Mozilla's Spider Monkey JavaScript engine, the reduced suite is more effective for finding software faults, even if its reduced runtime is not considered. The effectiveness of a reduction-based quick test persists through major changes to the software under test.
Starting Page	243
Ending Page	252
File Size	224873
Page Count	10
File Format	PDF
ISBN	9781479922550
DOI	10.1109/ICST.2014.37
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-03-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault detection Computer bugs regression testing Debugging Minimization Educational institutions test case minimization Hardware Testing random testing
Content Type	Text
Resource Type	Article

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