{"title":"研究软件演化以驯服软件复杂性","authors":"Steve D. Suh, Iulian Neamtiu","doi":"10.1109/ASWEC.2010.26","DOIUrl":null,"url":null,"abstract":"Reducing software complexity is key to reducing software maintenance costs. To discover complexity-reducing practices, in this paper we study the evolution of seven sizable open source programs over a long period of time. We first measure how software complexity changes as programs evolve, and identify complexity-reducing releases. We then study the changes introduced in these releases and extract evolution patterns (we call them complexity-reducing steps) that lead to reduced program complexity. Finally, we categorize these steps and discuss their effectiveness. We believe that bringing these complexity-reducing measures to light, and encouraging developers to adopt them, has the potential to improve the state of practice in software maintenance.","PeriodicalId":381789,"journal":{"name":"2010 21st Australian Software Engineering Conference","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"Studying Software Evolution for Taming Software Complexity\",\"authors\":\"Steve D. Suh, Iulian Neamtiu\",\"doi\":\"10.1109/ASWEC.2010.26\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Reducing software complexity is key to reducing software maintenance costs. To discover complexity-reducing practices, in this paper we study the evolution of seven sizable open source programs over a long period of time. We first measure how software complexity changes as programs evolve, and identify complexity-reducing releases. We then study the changes introduced in these releases and extract evolution patterns (we call them complexity-reducing steps) that lead to reduced program complexity. Finally, we categorize these steps and discuss their effectiveness. We believe that bringing these complexity-reducing measures to light, and encouraging developers to adopt them, has the potential to improve the state of practice in software maintenance.\",\"PeriodicalId\":381789,\"journal\":{\"name\":\"2010 21st Australian Software Engineering Conference\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 21st Australian Software Engineering Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASWEC.2010.26\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 21st Australian Software Engineering Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASWEC.2010.26","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Studying Software Evolution for Taming Software Complexity
Reducing software complexity is key to reducing software maintenance costs. To discover complexity-reducing practices, in this paper we study the evolution of seven sizable open source programs over a long period of time. We first measure how software complexity changes as programs evolve, and identify complexity-reducing releases. We then study the changes introduced in these releases and extract evolution patterns (we call them complexity-reducing steps) that lead to reduced program complexity. Finally, we categorize these steps and discuss their effectiveness. We believe that bringing these complexity-reducing measures to light, and encouraging developers to adopt them, has the potential to improve the state of practice in software maintenance.
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