代码大模型 / AI 编程

TAM-Eval: Evaluating LLMs for Automated Unit Test Maintenance

TAM-Eval: 评估用于自动单元测试维护的LLM

Elena Bruches, Vadim Alperovich, Dari Baturova, Roman Derunets, Daniil Grebenkin, Georgy Mkrtchyan, Oleg Sedukhin, Mikhail Klementev, Ivan Bondarenko, Nikolay Bushkov, Stanislav Moiseev

机构 * Both authors contributed equally to this research.（共同作者） 纠错

专题命中 测试生成 ：repository(abstract)；分类 cs.SE、cs.AI

AI总结 TAM-Eval提出一个评估LLM在自动单元测试维护能力的框架和基准，通过测试套件创建、修复和更新三个场景，揭示LLM在真实测试维护中的局限性。

Comments Accepted for publication at the 9th Workshop on Validation, Analysis and Evolution of Software Tests (VST 2026), co-located with the the 33rd IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2026)