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LLMs for Software Engineering

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Paper summary

A comprehensive survey of LLMs for software engineering covering models, tasks, evaluation, and open challenges.

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Key points

Task coverage: Surveys code generation, bug detection and repair, code review, code translation, documentation, and testing.

Model landscape: Reviews code-specialized LLMs (Codex, StarCoder, CodeLlama) alongside general-purpose LLMs applied to code.

Evaluation review: Catalogs standard benchmarks (HumanEval, MBPP, DS-1000) and their limitations for real-world software engineering.

Open challenges: Highlights long-context code understanding, multi-file reasoning, verification, and agent-based SE as key open directions.

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