FAIL: Analyzing Software Failures from the News Using LLMs

Software failures inform engineering work, standards, regulations. For example, the Log4J vulnerability brought government and industry attention to evaluating and securing software supply chains. Retrospective failure analysis is thus a valuable line of software engineering research. Accessing private engineering records is difficult, so such analyses tend to use information reported by the news media. However, prior works in this direction have relied on manual analysis. That has limited the scale of their analyses. The community lacks automated support to enable such analyses to consider a wide range of news sources and incidents.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1145/3691620.3695022
Citations
3
Primary Topic
Software System Performance and Reliability
Type
article
Field-Weighted Citation Impact
1.05
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article

FAIL: Analyzing Software Failures from the News Using LLMs

James C. Davis, Arav Tewari, Dharun Anandayuvaraj, Marius R. Campbell
3 citations
Software System Performance and Reliability
1.05
article

FAIL: Analyzing Software Failures from the News Using LLMs

James C. Davis, Arav Tewari, Dharun Anandayuvaraj, Marius R. Campbell
article en
3 citations

Abstract

Software failures inform engineering work, standards, regulations. For example, the Log4J vulnerability brought government and industry attention to evaluating and securing software supply chains. Retrospective failure analysis is thus a valuable line of software engineering research. Accessing private engineering records is difficult, so such analyses tend to use information reported by the news media. However, prior works in this direction have relied on manual analysis. That has limited the scale of their analyses. The community lacks automated support to enable such analyses to consider a wide range of news sources and incidents.

Purdue University West Lafayette (US)
Openalex Percentile: Top 21%
Software System Performance and Reliability
1.05
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