Retrieving sequence diagrams using genetic algorithm

H. O. Salami, Moataz A. Ahmed
{"title":"Retrieving sequence diagrams using genetic algorithm","authors":"H. O. Salami, Moataz A. Ahmed","doi":"10.1109/JCSSE.2014.6841889","DOIUrl":null,"url":null,"abstract":"The benefits of software reuse are multiplied if it is carried out in the early stages of software development. Sequence diagrams are commonly used to model the functionality of software systems at the initial stages (e.g. during requirements analysis) of the software development life cycle. In this work we utilize Genetic Algorithm (GA) for determining the similarity of graphical representations of sequence diagrams, in order to aid the retrieval of similar sequence diagrams from a repository. Experimental results show that the introduction of GA in the graph similarity computation leads to very significant improvements in retrieval quality compared to the existing method which utilizes a deterministic graph similarity algorithm.","PeriodicalId":331610,"journal":{"name":"2014 11th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 11th International Joint Conference on Computer Science and Software Engineering (JCSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JCSSE.2014.6841889","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15

Abstract

The benefits of software reuse are multiplied if it is carried out in the early stages of software development. Sequence diagrams are commonly used to model the functionality of software systems at the initial stages (e.g. during requirements analysis) of the software development life cycle. In this work we utilize Genetic Algorithm (GA) for determining the similarity of graphical representations of sequence diagrams, in order to aid the retrieval of similar sequence diagrams from a repository. Experimental results show that the introduction of GA in the graph similarity computation leads to very significant improvements in retrieval quality compared to the existing method which utilizes a deterministic graph similarity algorithm.
使用遗传算法检索序列图
如果在软件开发的早期阶段进行软件重用,那么软件重用的好处将成倍增加。序列图通常用于在软件开发生命周期的初始阶段(例如在需求分析期间)对软件系统的功能进行建模。在这项工作中,我们利用遗传算法(GA)来确定序列图的图形表示的相似性,以帮助从存储库中检索相似的序列图。实验结果表明,在图相似度计算中引入遗传算法,与现有的确定性图相似度算法相比,检索质量得到了显著提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信