任务(项目管理)
计算机科学
要价
实证研究
软件工程
图形
任务分析
归纳程序设计
软件
程序设计范式
人工智能
理论计算机科学
程序设计语言
认识论
经济
哲学
经济
管理
作者
Mingwei Liu,Xin Peng,Andrian Marcus,Christoph Treude,Jiazhan Xie,Huanjun Xu,Yong Yang
标识
DOI:10.1145/3540250.3549160
摘要
Developers often ask how-to questions using search engines, technical Q&A communities, and interactive Q&A systems to seek help for specific programming tasks. However, they often do not formulate the questions in a specific way, making it hard for the systems to return the best answers. We propose an approach (TaskKG4Q) that interactively helps developers formulate a programming related how-to question. TaskKG4Q is using a programming task knowledge graph (task KG in short) mined from Stack Overflow questions, which provides a hierarchical conceptual structure for tasks in terms of [actions], [objects], and [constraints]. An empirical evaluation of the intrinsic quality of the task KG revealed that 75.0% of the annotated questions in the task KG are correct. The comparison between TaskKG4Q and two baselines revealed that TaskKG4Q can help developers formulate more specific how-to questions. More so, an empirical study with novice programmers revealed that they write more effective questions for finding answers to their programming tasks on Stack Overflow.
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