LM: a miner for scenario-based specifications
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 2
Scenario-based and value-based specification mining: better together
Proceedings of the IEEE/ACM international conference on Automated software engineering
Mining parametric specifications
Proceedings of the 33rd International Conference on Software Engineering
Are object protocols burdensome?: an empirical study of developer forums
Proceedings of the 3rd ACM SIGPLAN workshop on Evaluation and usability of programming languages and tools
Learning extended FSA from software: An empirical assessment
Journal of Systems and Software
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Scalability over long traces, as well as comprehensibility and expressivity of results, are major challenges for dynamic analysis approaches to specification mining. In this work we present a novel use of object hierarchies over traces of inter-object method calls, as an abstraction/refinement mechanism that enables user-guided, top-down or bottom-up mining of layered scenario-based specifications, broken down by hierarchies embedded in the system under investigation. We do this using data mining methods that provide statistically significant sound and complete results modulo user-defined thresholds, in the context of Damm and Harel’s live sequence charts (LSC); a visual, modal, scenario-based, inter-object language. Thus, scalability, comprehensibility, and expressivity are all addressed.Our technical contribution includes a formal definition of hierarchical inter-object traces, and algorithms for ‘zoomingout’ and ‘zooming-in’, used to move between abstraction levels on the mined specifications. An evaluation of our approach based on several case studies shows promising results.