Rebecca Brunner
Robert Dyer
ABSTRACT
We present a web-based Program Analysis Collaboratory (PAClab) tool that helps researchers to obtain realistic program benchmarks using user-defined selection criteria. Based on selection criteria, PAClab identifies relevant projects and its programs from open-source repositories, obtains those programs, and if necessary performs sound program transformations to adapt them to the targeted verification tool. PAClab makes the resulting program benchmarks available for download. PAClab is designed as a scalable, modular, and parametrizable tool that takes advantage of a computer cluster to handle multiple user requests.
Supplemental Material
- Robert Dyer, Hoan Anh Nguyen, Hridesh Rajan, and Tien N. Nguyen. 2013. Boa: A Language and Infrastructure for Analyzing Ultra-Large-Scale Software Repositories. In Proceedings of the 35th International Conference on Software Engineering (San Francisco, CA) ( ICSE'13). IEEE Press, 422-431. https://doi.org/10.1109/ICSE. 2013.6606588 Google Scholar
Cross Ref
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- Timotej Kapus and Cristian Cadar. 2017. Automatic Testing of Symbolic Execution Engines via Program Generation and Diferential Testing. In Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering (UrbanaChampaign, IL, USA) ( ASE 2017). IEEE Press, Piscataway, NJ, USA, 590-600. https: //doi.org/10.1109/ASE. 2017.8115669 Google ScholarCross Ref
- Pedro Martins, Rohan Achar, and Cristina V. Lopes. 2018. 50K-C: A Dataset of Compilable, and Compiled, Java Projects. In Proceedings of the 15th International Conference on Mining Software Repositories (Gothenburg, Sweden) (MSR'18). ACM, 1-5. https://doi.org/10.1145/3196398.3196450 Google ScholarDigital Library
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Index Terms
- PAClab: a program analysis collaboratory
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