NDLI: Handling Constraints for Search Based Software Test Data Generation

Content Provider	IEEE Xplore Digital Library
Author	Sagarna, R. Xin Yao
Copyright Year	2008
Description	Author affiliation: Sch. of Comput. Sci., Univ. of Birmingham, Edgbaston (Sagarna, R.; Xin Yao)
Abstract	A major issue in software testing is the automatic generation of the inputs to be applied to the programme under test. To solve this problem, a number of approaches based on search methods have been developed in the last few years, offering promising results for adequacy criteria like, for instance, branch coverage. We devise branch coverage as the satisfaction of a number of constraints. This allows to formulate the test data generation as a constrained optimisation problem or as a constraint satisfaction problem. Then, we can see that many of the generators so far have followed the same particular approach. Furthermore, this constraint-handling point of view overcomes this limitation and opens the door to new designs and search strategies that, to the best of our knowledge, have not been considered yet. As a case study, we develop test data generators employing different penalty objective functions or multiobjective optimisation. The results of the conducted preliminary experiments suggest these generators can improve the performance of classical approaches.
Starting Page	232
Ending Page	240
File Size	234615
Page Count	9
File Format	PDF
ISBN	9780769533889
DOI	10.1109/ICSTW.2008.19
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-04-09
Publisher Place	Norway
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Software testing Computer science Constraint optimization System testing Automation Automatic testing Search methods Evolutionary computation Software systems Probability distribution
Content Type	Text
Resource Type	Article

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