NDLI: A New Approach to Generating High Quality Test Cases

Content Provider	IEEE Xplore Digital Library
Author	Pan Liu Huaikou Miao
Copyright Year	2010
Abstract	High quality test cases can effectively detect software errors and ensure software quality. However, except the regular expression-based test generation method, test cases generated from other model-based test generation methods have not contain the whole information of the model, resulting in test inadequacy. And test cases derived from regular expression have the prohibited lengths that cause the sustainable increase of test cost. To obtain high quality test cases, we suggest a new method for test generation by way of regular expression decomposition. Unlike the previous model decomposition techniques, our method lays emphasis on information completeness after regular expression is decomposed. Based on two empirical assumptions, we propose two processes of regular expression decomposition and three decomposition rules. Then we perform a case study to demonstrate our approach. The results show that our approach generates high quality test cases as well as avoids the problem of test complexity.
Starting Page	71
Ending Page	76
File Size	360163
Page Count	6
File Format	PDF
ISBN	9781424488414
ISSN	10817735
DOI	10.1109/ATS.2010.21
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-01
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Software Matrix decomposition Complexity theory Software testing Transforms Data mining software testing regular expression decomposition high quality test cases test generation model decomposition
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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