MUBench:a benchmark for API-misuse detectors

Amani, Sven and Nadi, Sarah and Nguyen, Hoan A. and Nguyen, Tien N. and Mezini, Ermira (2016) MUBench:a benchmark for API-misuse detectors. In: MSR '16 Proceedings of the 13th International Conference on Mining Software Repositories. ACM, New York, pp. 464-467. ISBN 9781450341868

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Abstract

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 of bugs, finding that they are rare, but almost always cause crashes. Furthermore, we discuss how to use it to benchmark and compare API-misuse detectors.

Item Type:
Contribution in Book/Report/Proceedings
ID Code:
81098
Deposited By:
Deposited On:
19 Aug 2016 07:44
Refereed?:
Yes
Published?:
Published
Last Modified:
05 Aug 2020 09:43