摘要
在软件工程的演进或维护阶段,有很多软件变更要求需要软件开发人员处理,这些变更要求通常都使用自然语言文本进行编制,而且通常涉及一个或多个相关问题域.软件开发人员要将这些概念准确映射到软件项目中的相应源码位置,已进行所要求的变更.完成这样的映射需建立若干搜索术语项,并在项目中进行搜索.而研究表明,开发人员在为任务变更提出准确而合适的搜索条件时具有一些困难.因此本文提出了一种基于TextRank的软件变更任务搜索术语的识别方法,通过分析自然语言描述的任务来识别和提出软件变更的搜索术语项,以提高搜索的准确性、平均精度和召回率.
At the evolution or maintenance stage of software engineering,software developers are required to handle many Software Change Orders(SCOs),which are generally prepared in natural language texts and involve one or more problem domains.The developers will accurately map these orders to corresponding source codes in the software programme and make ordered changes.This mapping requires creation of several search terms and search of them in the programme.Studies show that developers have difficulties in creating accurate and suitable search conditions for changes.In this study,the author proposes a TextRank-based search term recognition method for software change tasks.It enables identification and creation of search terms for software changes by analyzing tasks described in natural languages,to improve the accuracy,average precision,and recall rate of searching.
作者
王杉
WANG Shan(Institute of Technology,Dianchi College of Yunnan University,Kunming 650228,China)
出处
《计算机系统应用》
2020年第10期262-266,共5页
Computer Systems & Applications
基金
云南省高校科技创新团队支持计划(2017)
作者简介
通讯作者:王杉,E-mail:52298256@qq.com
