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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Liang You Yansheng Lu |
| Copyright Year | 2012 |
| Description | Author affiliation: College of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China (Liang You; Yansheng Lu) |
| Abstract | After the programmer fixes the bugs and enhances the functionality of the software project, regression testing reruns the regression testing suite to ensure that the new version software projects can run smoothly and correctly. Because the regression testing is the most expensive phase of the software testing, regression testing reduction eliminates the redundant test cases in the regression testing suite and saves the cost of the regression testing. This paper formally defines the time-aware regression testing reduction problem. It also proposes a novel genetic algorithm for the time-aware regression testing reduction problem. It defines the representation and fitness function of the genetic algorithm, it also describes the parent selection, crossover and mutation operator of the genetic algorithm. The novel algorithm not only removes redundant test cases in the regression testing suite but also minimizes the total running time of the remaining test cases. Finally, the paper evaluates the genetic algorithm using eight example programs. The experimental result illustrates the efficiency of the proposed genetic algorithm for the time-aware regression testing reduction problem. |
| Starting Page | 596 |
| Ending Page | 599 |
| File Size | 267920 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457721304 |
| ISSN | 21579563 |
| e-ISBN | 9781457721335 |
| DOI | 10.1109/ICNC.2012.6234754 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-05-29 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Greedy algorithms Algorithm design and analysis genetic algorithm regression testing minimization Heuristic algorithms regression testing reduction regression testing Maintenance engineering Software Testing Genetic algorithms |
| Content Type | Text |
| Resource Type | Article |
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