项目名称: 基于开发者社交网络的软件维护技术
项目编号: No.61472176
项目类型: 面上项目
立项/批准年度: 2015
项目学科: 自动化技术、计算机技术
项目作者: 刘嘉
作者单位: 南京大学
项目金额: 80万元
中文摘要: 软件维护是软件生命周期的重要组成部分,同时又是一项耗时耗力的任务。尽管已经存在一系列软件维护辅助技术和工具,软件开发者在软件维护中依然扮演着最重要的角色。本项目通过提取开发者间的交流与协作关系,结合程序代码网络和项目记录文档关系网络,构建以开发者社交网络为核心的多层次软件工程网络。本项目将以开发者社交网络为基础,分析开发者社交网络特性,挖掘开发者与不同软件实体之间的内在联系和潜在影响,提高软件维护效率。研究内容包括:(1)基于开发者社交网络的缺陷预测模型;(2)基于开发者社交网络的缺陷报告分派技术;(3)基于开发者社交网络的软件调试系统。项目旨在建立以开发者社交网络为核心的软件维护框架,针对不同软件维护任务,开发相应的系统实现网络构建、分析、应用的完整过程, 实现一套以人为核心的软件维护技术。
中文关键词: 软件维护;软件测试;开发者社交网络;缺陷预测;软件调试
英文摘要: Software maintenance is an important part of software life cycle, and it is an expensive task. Although there exist some software maintenance techniques and tools, developers still play a key role in software maintenance. This project is to extract the relationships among developers with their communication and collaboration, joint with source code network and document network, to establish a multi-level software engineering network with the core one: developer social network. This project is based on developer social network,analyzes the properties of these networks, and then mines the relationships and affects among developers, to improve the effectiveness of software maintenance. This project studies:(1)Defect prediction models based on developer social network;(2)Defect report triage techniques based on developer social network;(3)Software debugging systems based on developer social network. The goal of this project is to establish a software maintenance framework based on deveoper social network for different tasks. We will build a holistic process of network construction, network analysis, and network application, and a series of people-oriented software maintenance techniques.
英文关键词: Software Maintenance;Software Testing;Devleoper Social Network;Defect Prediction;Software Debugging