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A study of applying severity-weighted greedy algorithm to software test case prioritization during testing
Conference paper

A study of applying severity-weighted greedy algorithm to software test case prioritization during testing

Yen-Ching Hsu, Kuan-Li Peng and Chin-Yu Huang
IEEE International Conference on Industrial Engineering and Engineering Management, Vol.2015-January, pp.1086-1090
2014

Abstract

APFD APFDc code coverage search algorithm Test case prioritization Business Management and Accounting (miscellaneous) Industrial and Manufacturing Engineering Safety Risk Reliability and Quality
Regression testing is a very useful technique for software testing. Traditionally, there are several techniques for test case prioritization; two of the most used techniques are Greedy and Additional Greedy Algorithm (GA and AGA). However, it can be found that they may not consider the severity while prioritizing test cases. In this paper, an Enhanced Additional Greedy Algorithm (EAGA) is proposed for test case prioritization. Experiments with eight subject programs are performed to investigate the effects of different techniques under different criteria and fault severity. Experimental results show that proposed EAGA perform well than other techniques.

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