Mining temporal rules for software maintenance
Software evolution incurs difficulties in program comprehension and software verification, and hence it increases the cost of software maintenance. In this study, we propose a novel technique to mine from program execution traces a sound and complete set of statistically significant temporal rules o...
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| Main Authors: | , , |
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| 格式: | text |
| 語言: | English |
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Institutional Knowledge at Singapore Management University
2008
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| 主題: | |
| 在線閱讀: | https://ink.library.smu.edu.sg/sis_research/742 https://ink.library.smu.edu.sg/context/sis_research/article/1741/viewcontent/jsme08.pdf |
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| 機構: | Singapore Management University |
| 語言: | English |