ISSN 1000-1239 CN 11-1777/TP

计算机研究与发展 ›› 2020, Vol. 57 ›› Issue (3): 487-512.doi: 10.7544/issn1000-1239.2020.20190626

所属专题: 2020面向服务的群智化生态化软件开发方法专题

• 软件技术 • 上一篇    下一篇

基于群体智能的软件工程方法综述

徐立鑫,吴化尧   

  1. (计算机软件新技术国家重点实验室(南京大学) 南京 210023) (141270043@smail.nju.edu.cn)
  • 出版日期: 2020-03-01
  • 基金资助: 
    国家重点研发计划项目(2018YFB10038000);国家自然科学基金项目(61902174);江苏省自然科学基金项目(BK20190291)

Collective Intelligence Based Software Engineering

Xu Lixin, Wu Huayao   

  1. (State Key Laboratory for Novel Software Technology (Nanjing University), Nanjing 210023)
  • Online: 2020-03-01
  • Supported by: 
    This work was supported by the National Key Research and Development Program of China (2018YFB1003800), the National Natural Science Foundation of China (61902174), and the Natural Science Foundation of Jiangsu Province of China (BK20190291).

摘要: 基于群体智能的软件工程旨在利用潜在高效的群体智能方法来解决软件工程问题,其中群体智能方法不仅包括机器群体智能,还包括人类群体智能以及人机结合群体智能.基于群体智能的软件工程研究为解决复杂软件工程问题提供了新的思路,已成为现代软件工程的重要组成部分.以软件工程生命周期中的需求分析、设计、构造、测试和维护为主线,系统梳理和总结不同层次群体智能方法在上述软件开发活动上的应用.在此基础上,为不同层次群体智能方法间的相互借鉴与转化提供参考,并探讨基于群体智能的软件工程的未来发展趋势和挑战.

关键词: 群体智能, 软件工程, 基于搜索软件工程, 众包软件工程, 综述

Abstract: Collective intelligence based software engineering (CISE) aims to solve software engineering problems by techniques that exploit collective intelligence, which includes machine collective intelligence, human collective intelligence, and their combinations. CISE provides a new perspective for solving complex software engineering problems, and has become an important part of modern software development. This paper presents a survey of CISE, which systematically reviews the applications of different collective intelligence inspired techniques on solving problems of software requirements analysis, design, coding, testing and maintenance. Future research directions and challenges in the CISE area are also discussed. The goal of this study is to establish a uniform framework of CISE and provide references for the interactions and transformations between collective intelligence techniques of different levels.

Key words: collective intelligence, software engineering, search based software engineering, crowd-sourced software engineering, survey

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