Abstract
This paper proposes a dynamic approach of specification mining for Propositional Projection Temporal Logic (PPTL). To this end, a pattern library is built to collect some common temporal relation among events. Further, several algorithms of specification mining for PPTL are designed. With our approach, PPTL specifications are mined from a trace set of a target program by using patterns in the library. In addition, a specification mining tool PPTLMiner supporting this approach is developed. In practice, given a trace set and user selected patterns, PPTLMiner can capture PPTL specifications of target programs.
This research is supported by National Key Research and Development Program of China under Grant No. 2018AAA0103202, National Natural Science Foundation of China under Grant Nos. 61751207 and 61732013, and Shaanxi Key Science and Technology Innovation Team Project under Grant No. 2019TD-001.
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Zhang, N., Yuan, X., Duan, Z. (2020). Propositional Projection Temporal Logic Specification Mining. In: Wu, W., Zhang, Z. (eds) Combinatorial Optimization and Applications. COCOA 2020. Lecture Notes in Computer Science(), vol 12577. Springer, Cham. https://doi.org/10.1007/978-3-030-64843-5_20
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