System performance analyses through object-oriented fault and coupling prisms

Alessandro Murgia, R. Tonelli, M. Marchesi, G. Concas, S. Counsell, S. Swift
{"title":"System performance analyses through object-oriented fault and coupling prisms","authors":"Alessandro Murgia, R. Tonelli, M. Marchesi, G. Concas, S. Counsell, S. Swift","doi":"10.1145/2568088.2568089","DOIUrl":null,"url":null,"abstract":"A fundamental aspect of a system's performance over time is the number of faults it generates. The relationship between the software engineering concept of \"coupling\" (i.e., the degree of inter-connectedness of a system's components) and faults is still a research question attracting attention and a relationship with strong implications for performance; excessive coupling is generally acknowledged to contribute to fault-proneness. In this paper, we explore the relationship between faults and coupling. Two releases from each of three open-source Eclipse projects (six releases in total) were used as an empirical basis and coupling and fault data extracted from those systems. A contrasting coupling profile between fault-free and fault-prone classes was observed and this result was statistically supported. Object-oriented (OO) classes with low values of fan-in (incoming coupling) and fan-out (outgoing coupling) appeared to support fault-free classes, while classes with high fan-out supported relatively fault-prone classes. We also considered size as an influence on fault-proneness. The study thus emphasizes the importance of minimizing coupling where possible (and particularly that of fan-out); failing to control coupling may store up problems for later in a system's life; equally, controlling class size should be a concomitant goal.","PeriodicalId":243233,"journal":{"name":"Proceedings of the 5th ACM/SPEC international conference on Performance engineering","volume":"109 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 5th ACM/SPEC international conference on Performance engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2568088.2568089","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

A fundamental aspect of a system's performance over time is the number of faults it generates. The relationship between the software engineering concept of "coupling" (i.e., the degree of inter-connectedness of a system's components) and faults is still a research question attracting attention and a relationship with strong implications for performance; excessive coupling is generally acknowledged to contribute to fault-proneness. In this paper, we explore the relationship between faults and coupling. Two releases from each of three open-source Eclipse projects (six releases in total) were used as an empirical basis and coupling and fault data extracted from those systems. A contrasting coupling profile between fault-free and fault-prone classes was observed and this result was statistically supported. Object-oriented (OO) classes with low values of fan-in (incoming coupling) and fan-out (outgoing coupling) appeared to support fault-free classes, while classes with high fan-out supported relatively fault-prone classes. We also considered size as an influence on fault-proneness. The study thus emphasizes the importance of minimizing coupling where possible (and particularly that of fan-out); failing to control coupling may store up problems for later in a system's life; equally, controlling class size should be a concomitant goal.
基于面向对象故障和耦合棱镜的系统性能分析
随着时间的推移,系统性能的一个基本方面是它产生的故障数量。软件工程概念“耦合”(即系统组件的相互连接程度)与故障之间的关系仍然是一个引人关注的研究问题,并且对性能具有很强的影响;人们普遍认为,过度耦合会导致容易发生故障。本文探讨了故障与耦合之间的关系。三个开源Eclipse项目(总共六个版本)中的每个项目都使用了两个版本作为经验基础,并从这些系统中提取了耦合和故障数据。观察到无故障和易故障类别之间的对比耦合概况,这一结果在统计上得到支持。具有低扇入(传入耦合)和扇出(传出耦合)值的面向对象(OO)类似乎支持无故障类,而具有高扇出的类支持相对容易发生故障的类。我们还考虑了大小对断层倾向的影响。因此,该研究强调了尽可能减少耦合的重要性(特别是扇形输出);未能控制耦合可能会在系统生命周期的后期积累问题;同样,控制班级规模也应该是一个共同的目标。
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:481959085
Book学术官方微信