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Computer Science > Software Engineering

arXiv:2405.05541 (cs)
[Submitted on 9 May 2024]

Title:CrashJS: A NodeJS Benchmark for Automated Crash Reproduction

Authors:Philip Oliver, Jens Dietrich, Craig Anslow, Michael Homer
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Abstract:Software bugs often lead to software crashes, which cost US companies upwards of $2.08 trillion annually. Automated Crash Reproduction (ACR) aims to generate unit tests that successfully reproduce a crash. The goal of ACR is to aid developers with debugging, providing them with another tool to locate where a bug is in a program. The main approach ACR currently takes is to replicate a stack trace from an error thrown within a program. Currently, ACR has been developed for C, Java, and Python, but there are no tools targeting JavaScript programs. To aid the development of JavaScript ACR tools, we propose CrashJS: a benchmark dataset of 453 this http URL crashes from several sources. CrashJS includes a mix of real-world and synthesised tests, multiple projects, and different levels of complexity for both crashes and target programs.
Comments: Pre-print; Accepted to MSR 2024
Subjects: Software Engineering (cs.SE)
Cite as: arXiv:2405.05541 [cs.SE]
  (or arXiv:2405.05541v1 [cs.SE] for this version)
  https://doi.org/10.48550/arXiv.2405.05541

Submission history

From: Philip Oliver [view email]
[v1] Thu, 9 May 2024 04:57:10 UTC (1,508 KB)
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