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cs.SE2026
From What to How: Bridging User Requirements with Software Development Using Large Language Models
Xiao He, Ru Chen, Jialun Cao
Recently, large language models (LLMs) are extensively utilized to enhance development efficiency, leading to numerous benchmarks for evaluating their performance. However, these b…
cs.SE2025
Doc2Feat-Bench: Evaluating Documentation-Driven Feature Addition
Zhonghao Jiang, Le Deng, Jialun Cao +2
Documentation changes in mature software projects often describe newly introduced or modified behavior. This makes them a natural basis for documentation-driven feature addition, w…
cs.SE2025
FeedbackEval: A Benchmark for Evaluating Large Language Models in Feedback-Driven Code Repair Tasks
Dekun Dai, MingWei Liu, Anji Li +5
Code repair is a fundamental task in software development, facilitating efficient bug resolution and software maintenance. Although large language models (LLMs) have demonstrated c…