A test suite optimization approach that leverages symbolic classification, a greedy algorithm, and a similarity measure reduces MBT-generated test suites for embedded software by identifying and eliminating redundancy while minimizing its impact on the fault detection rate.
Muhammad Nouman Zafar, Wasif Afzal, Eduard Paul Enoiu et al.· Software quality journal· 0 citations
Examination of tool-augmented Large Language Model systems for supporting Root Cause Analysis of nightly test failures at Westermo Network Technologies AB finds the single agent system generated reports faster and at lower cost, making it the more practical baseline in this context.
Eric Jansson, P. Strandberg, Thomas Sörensen et al.· 0 citations
Results showed that long-context LLMs tended to achieve higher accuracy than smaller models, suggesting that LLMs are currently better suited to support human-in-the-loop root cause analysis than to fully automate it, and motivating further work to improve prediction accuracy for log-based RCA.
Rahmanu Hermawan, Alessio Bucaioni, Eduard Paul Enoiu et al.· Innovations in Systems and S...· 0 citations
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