An empirical investigation on the challenges of creating custom static analysis rules for defect localization
Author:
Funder
Conselho Nacional de Desenvolvimento Científico e Tecnológic
Publisher
Springer Science and Business Media LLC
Subject
Safety, Risk, Reliability and Quality,Software
Link
https://link.springer.com/content/pdf/10.1007/s11219-021-09580-z.pdf
Reference18 articles.
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2. Beller, M., Bholanath, R., McIntosh, S., & Zaidman, A. (2016). Analyzing the state of static analysis: a large-scale evaluation in open source software. 2016 IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering (SANER), 1, 470–481. https://doi.org/10.1109/SANER.2016.105
3. Bourque, P., Fairley, R. E., & others. (2014). Guide to the software engineering body of knowledge (SWEBOK (R)): Version 3.0. IEEE Computer Society Press.
4. Christakis, M., & Bird, C. (2016). What developers want and need from program analysis: an empirical study. ASE 2016 - Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering. https://doi.org/10.1145/2970276.297
5. Crispe, D., & Mendonça, D. S. (2021). SCPL: a markup language for source code patterns localization. XXXV Simpósio Brasileiro de Engenharia de Software - Trilha de Ferramentas, 6. https://doi.org/10.1145/3474624.3476017
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