Beyond Support and Confidence: Exploring Interestingness Measures for Rule-based Specification Mining
Numerous rule-based specification mining approaches have been proposed in the literature. Many of these approaches analyze a set of execution traces to discover interesting usage rules, e.g., whenever lock() is invoked, eventually unlock() is invoked. These techniques often generate and enumerate a...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2015
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| Online Access: | https://ink.library.smu.edu.sg/sis_research/2862 https://ink.library.smu.edu.sg/context/sis_research/article/3862/viewcontent/InterestingnessMeasure_saner2015.pdf |
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| Institution: | Singapore Management University |
| Language: | English |