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cs.SE2026
Beyond Rule-Based Mutation Testing: Test-Aware Mutant Generation Using Large Language Models
Nils Kiele, Zainab Saad, Zirui Wang +2
Mutation testing evaluates test-suite adequacy by injecting synthetic faults into program code. However, traditional rule-based tools often generate large numbers of trivial, redun…
cs.SE2025
GitChameleon 2.0: Evaluating AI Code Generation Against Python Library Version Incompatibilities
Diganta Misra, Nizar Islah, Victor May +9
The rapid evolution of software libraries poses a considerable hurdle for code generation, necessitating continuous adaptation to frequent version updates while preserving backward…