← All IntelIntel / article 
Hype Meets Reality: Large Language Models as Mutators in Search-based Automated Program Repair of Simulink-Stateflow Models
- Source
- arxiv.org
- Author
- Ayesha Irshad, Pablo Valle, Jon Ayerdi, Aitor Arrieta
- Date
Why it matters
A measured reminder that swapping a tuned search operator for a model call can lose ground, under a controlled budget rather than asserted.
Terms in this piece · Glossary
- LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
Read the source arxiv.org
Recommended reads
articleRethinking Automated Program Repair: The Impact of Bug Complexity, Fault Localization, and LLM Cost-efficiencyJunchi Liu, Ali Bigdeli, Roya Daneshi, Atu Ambala, Sudipto Ghosh, Fabio Santos
articleHow effective are traditional test criteria at detecting bugs in large language models generated code?Asma Hamidi, Michael Konstantinou, Renzo Degiovanni, Mike Papadakis
articleBreaking Models to Test the Judge: A Mutation Testing Approach for Semantic Evaluators of Domain Class DiagramsKevin Delcourt, Meriem Ben Chaaben, Abdelhamid Rouatbi, Luciano Marchezan, Houari Sahraoui
Comments
Checking sign-in…
Loading comments…