Beyond Support and Confidence: Exploring Interestingness Measures for Rule-based Specification Mining

• Main Authors: LE, Bui Tien Duy, David LO
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Computer Sciences; Databases and Information Systems; Numerical Analysis and Scientific Computing
• 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
• Institution: Singapore Management University

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...