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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zai Wang Ke Tang Xin Yao |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Comput. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei (Zai Wang; Ke Tang; Xin Yao) |
| Abstract | Nowadays, as the software systems become increasingly large and complex, the problem of allocating the limited testing-resource during the testing phase has become more and more difficult. In this paper, we propose to solve the testing-resource allocation problem (TRAP) using multi-objective evolutionary algorithms. Specifically, we formulate TRAP as two multi-objective problems. First, we consider the reliability of the system and the testing cost as two objectives. In the second formulation, the total testing-resource consumed is also taken into account as the third goal. Two multi-objective evolutionary algorithms, non-dominated sorting genetic algorithm II (NSGA2) and multi-objective differential evolution algorithms (MODE), are applied to solve the TRAP in the two scenarios. This is the first time that the TRAP is explicitly formulated and solved by multi-objective evolutionary approaches. Advantages of our approaches over the state-of-the-art single-objective approaches are demonstrated on two parallel-series modular software models. |
| Starting Page | 1148 |
| Ending Page | 1153 |
| File Size | 518707 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424418220 |
| DOI | 10.1109/CEC.2008.4630941 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-06-01 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Reliability Testing Software systems Software reliability Software algorithms Resource management Reliability engineering Parallel-Series Modular Software System Software Reliability Multi-Objective Evolutionary Algorithm |
| Content Type | Text |
| Resource Type | Article |
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