DevEval: Evaluating Code Generation in Practical Software Projects

arXiv:2401.06401v3 Announce Type: replace-cross
Abstract: How to evaluate Large Language Models (LLMs) in code generation is an open question. Many benchmarks have been proposed but are inconsistent with practical software projects, e.g., unreal program distributions, insufficient dependencies, and small-scale project contexts. Thus, the capabilities of LLMs in practical projects are still unclear. In this paper, we propose a new benchmark named DevEval, aligned with Developers' experiences in practical projects. DevEval is collected through a rigorous pipeline, containing 2,690 samples from …

abstract arxiv benchmarks capabilities code code generation cs.ai cs.cl cs.se dependencies language language models large language large language models llms practical project projects question scale small software type unreal