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CrashJS: A NodeJS Benchmark for Automated Crash Reproduction

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arxiv 2405.05541 v1 pith:OT2FV2SN submitted 2024-05-09 cs.SE

Philip Oliver , Jens Dietrich , Craig Anslow , Michael Homer This is my paper
classification cs.SE
keywords crashcrashescrashjsautomatedbenchmarkcurrentlyjavascriptprogram
verification ladder T0 review T1 audit T2 compute T3 formal
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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 Node.js 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.

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