Experience Report: How Effective is Automated Program Repair for Industrial Software?

2020 IEEE 27th International Conference on Software Analysis, Evolution and Reengineering (SANER)(2020)

引用 19|浏览24
暂无评分
摘要
Recent advances in automated program repair (APR) have widely caught the attention of industrial developers as a way of reducing debugging costs. While hundreds of studies have evaluated the effectiveness of APR on open-source software, industrial case studies on APR have been rarely reported; it is still unclear whether APR can work well for industrial software. This paper reports our experience applying a state-of-the-art APR technique, ELIXIR, to large industrial software consisting of 150+ Java projects and 13 years of development histories. It provides lessons learned and recommendations regarding obstacles to the industrial use of current APR: low recall (7.7%), lack of bug-exposing tests (90%), low success rate (10%), among others. We also report the preliminary results of our ongoing improvement of ELIXIR. With some simple enhancements, the success rate of repair has been greatly improved by up to 40%.
更多
查看译文
关键词
automated program repair,industrial experience report,practical performance
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要