Time-Constrained Test Selection for Regression Testing
The strategy of regression test selection is critical to a new version of software product. Although several strategies have been proposed, the issue, how to select test cases that not only can detect faults with high probability but also can be executed within a limited period of test time, remains open. This paper proposes to utilize datamining approach to select test cases, and dynamic programming approach to find the optimal test case set from the selected test cases such that they can detect most faults and meet testing deadline. The models have been applied to a large financial management system with a history of 11 releases over 5 years.
Test case selection regression testing test case classification Time-constrained, P-measure
Lian Yu Lei Xu Wei-Tek Tsai
School of Software and Microelectronics, Peking University, P.R. China Department of Computer Science and Engineering, Arizona State University, USA
国际会议
6th International Conference on Advanced Data Mining and Applications(第六届先进数据挖掘及应用国际会议 ADMA 2010)
重庆
英文
221-232
2010-11-19(万方平台首次上网日期,不代表论文的发表时间)