Improving software quality is a central priority of our time. Approaches to understand, diagnose, localize, and fix software defects are usually empirically grounded in datasets of past defects/repairs. A few such datasets are available; however, these datasets are difficult to create, and are typically not of the size, scale, and diversity that is representative of the software in use.

The goal of BugSwarm is to create a large-scale repository of replicable defects, tests, and patches by drawing from the recorded history of defects in GitHub open-source projects. BugSwarm exploits continuous integration records of build and test attempts, including those that result in build and/or test failures, and subsequent repairs.

Upon construction, BugSwarm will include complete virtual machines to reproduce real test failures and bug fixes in thousands of open-source projects. This will facilitate experimentation and avoid the duplication of a tremendous amount of work among researchers in programming languages and software engineering.

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School of Computer Science, Carnegie Mellon University
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Pittsburgh, PA, 15213 USA