SMArTIC: towards building an accurate, robust and scalable specification miner
Proceedings of the 14th ACM SIGSOFT international symposium on Foundations of software engineering
Mining modal scenario-based specifications from execution traces of reactive systems
Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering
Improving dynamic software analysis by applying grammar inference principles
Journal of Software Maintenance and Evolution: Research and Practice - Special Issue on Program Comprehension through Dynamic Analysis (PCODA)
Mining temporal rules for software maintenance
Journal of Software Maintenance and Evolution: Research and Practice - Special Issue on Program Comprehension through Dynamic Analysis (PCODA)
Evaluation and Comparison of Inferred Regular Grammars
ICGI '08 Proceedings of the 9th international colloquium on Grammatical Inference: Algorithms and Applications
Mining patterns and rules for software specification discovery
Proceedings of the VLDB Endowment
Specification mining of symbolic scenario-based models
Proceedings of the 8th ACM SIGPLAN-SIGSOFT workshop on Program analysis for software tools and engineering
Classification of software behaviors for failure detection: a discriminative pattern mining approach
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Automatic steering of behavioral model inference
Proceedings of the the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
Mining Scenario-Based Triggers and Effects
ASE '08 Proceedings of the 2008 23rd IEEE/ACM International Conference on Automated Software Engineering
Inferring Finite-State Models with Temporal Constraints
ASE '08 Proceedings of the 2008 23rd IEEE/ACM International Conference on Automated Software Engineering
SEIM: static extraction of interaction models
Proceedings of the 2nd International Workshop on Principles of Engineering Service-Oriented Systems
Using dynamic execution traces and program invariants to enhance behavioral model inference
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 2
Mining program workflow from interleaved traces
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Specification mining in concurrent and distributed systems
Proceedings of the 33rd International Conference on Software Engineering
Specification mining in concurrent and distributed systems
Proceedings of the 33rd International Conference on Software Engineering
Leveraging existing instrumentation to automatically infer invariant-constrained models
Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering
Learning extended FSA from software: An empirical assessment
Journal of Systems and Software
Automated Comparison of State-Based Software Models in Terms of Their Language and Structure
ACM Transactions on Software Engineering and Methodology (TOSEM)
Unifying FSM-inference algorithms through declarative specification
Proceedings of the 2013 International Conference on Software Engineering
Automatic generation of compact formal properties for effective error detection
Proceedings of the Ninth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis
Reverse extraction of protocol model from network applications
International Journal of Internet Protocol Technology
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Software is often built without specification. Tools to automatically extract specification from software are needed and many techniques have been proposed. One type of these specifications - temporal API specification - is often specified in the form of automaton. There has been much work on reverse engineering or mining software temporal specification, using dynamic analysis techniques; i.e., analysis of software program traces. Unfortunately, the issues of scalability, robustness and accuracy of these techniques have not been comprehensively addressed. In this paper, we describe QUARK(QUality Assurance framewoRK) that enables assessments of the performance of a specification miner in generating temporal specification of software through traces recorded from its API interaction. QUARK requires the temporal specification produced by the miner to be expressed as an automaton. It accepts a user-defined simulator automaton and a specification miner. It produces quality assurance measures on the specification generated by the miner. Extensive experiments on 3 specification miners have been performed to demonstrate the usefulness of our proposed framework.