| 摘要: |
| 互联网、机器学习、人工智能等技术的迅速发展以及大量开源软件和开源社区的出现，给软件工程的发展带来了新的机遇和挑战.目前，在互联网上已经存在了数十亿行的各类程序代码，这些代码中存在着各种知识，尤其是众多已被广泛使用、高质量的软件代码，由此催生了利用大规模代码资源中蕴涵的众多知识进行智能化软件开发的新思路.它试图充分利用互联网中存在的代码资源、知识和群体智慧，以有效地提高软件开发的效率和质量，其核心技术是程序搜索与构造，具有非常重要的理论与应用价值.目前，该方向的研究工作主要集中在代码搜索、程序合成、代码推荐与补全、缺陷检测、代码风格改善、程序自动修复等方面.从以上几个方面对当前的主要研究工作进行综述，对具体的理论和技术途径进行梳理，并在最后总结了目前该领域研究过程中面临的挑战，给出了建议的研究方向. |
| 关键词: 程序搜索 程序构造 群体智慧 智能化软件开发 机器学习 |
| DOI：10.13328/j.cnki.jos.005529 |
| 分类号: |
| 基金项目:国家自然科学基金（61690203，61532007）；国家重点基础研究发展计划（973）（2014CB340703） |
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| Survey on Intelligent Search and Construction Methods of Program |
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LIU Bin-Bin, DONG Wei, WANG Ji
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College of Computer, National University of Defense Technology, Changsha 410073, China
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| Abstract: |
| The rapid development of Internet, machine learning and artificial intelligence, as well as the appearance of a large number of open-source software and communities, has brought new opportunities and challenges to the development of software engineering. There are billions of lines of code on the Internet. These codes, especially those of high quality and widely used contains all kinds of knowledge, which has led to the new idea of intelligent software development. It tries to make full use of code resources, knowledge and collective intelligence on the Internet to effectively improve the efficiency and quality of software development. The key technology is program search and construction, providing great theoretical and practical value. At present, the research work of these areas mainly focuses on code search, program synthesis, code recommendation and completion, defect detection, code style improvement, and automatic program repair. This paper surveys the current main research work from the above aspects, sorts out the specific theoretical and technical approaches in detail and summarizes the challenges in the current research process. Several directions of research in the future are also proposed. |
| Key words: program search program construction collective intelligence intelligent software development machine learning |
