Mutual Information Gain based Test Suite Reduction
نویسندگان
چکیده
منابع مشابه
Mutual Information Gain based Test Suite Reduction
The test suite optimization during test case generation can save time and cost. The paper presents an information theory based metric to filter the redundant test cases and reduce the test suite size while, maintaining the coverage of the requirements and with minimum loss to mutant coverage. The paper propose two versions, RR and RR2. RR filters test cases for each requirement, where as, RR2 f...
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Article history: Received 29 August 2016 Received in revised form 10 May 2017 Accepted 14 May 2017 Available online 24 May 2017
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2017
ISSN: 0975-8887
DOI: 10.5120/ijca2017914358