MUBench: A Benchmark for API-Misuse Detectors

@article{Amann2016MUBenchAB,
  title={MUBench: A Benchmark for API-Misuse Detectors},
  author={Sven Amann and Sarah Nadi and Hoan Anh Nguyen and Tien N. Nguyen and Mira Mezini},
  journal={2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR)},
  year={2016},
  pages={464-467}
}
Over the last few years, researchers proposed a multitude of automated bug-detection approaches that mine a class of bugs that we call API misuses. Evaluations on a variety of software products show both the omnipresence of such misuses and the ability of the approaches to detect them. This work presents MuBench, a dataset of 89 API misuses that we collected from 33 real-world projects and a survey. With the dataset we empirically analyze the prevalence of API misuses compared to other types… CONTINUE READING

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