Steffen M. Olbrich, D. Cruzes, V. Basili, N. Zazworka
{"title":"代码气味的演变和影响:两个开源系统的案例研究","authors":"Steffen M. Olbrich, D. Cruzes, V. Basili, N. Zazworka","doi":"10.1109/ESEM.2009.5314231","DOIUrl":null,"url":null,"abstract":"Code smells are design flaws in object-oriented designs that may lead to maintainability issues in the further evolution of the software system. This study focuses on the evolution of code smells within a system and their impact on the change behavior (change frequency and size). The study investigates two code smells, God Class and Shotgun Surgery, by analyzing the historical data over several years of development of two large scale open source systems. The detection of code smells in the evolution of those systems was performed by the application of an automated approach using detection strategies. The results show that we can identify different phases in the evolution of code smells during the system development and that code smell infected components exhibit a different change behavior. This information is useful for the identification of risk areas within a software system that need refactoring to assure a future positive evolution.","PeriodicalId":128479,"journal":{"name":"2009 3rd International Symposium on Empirical Software Engineering and Measurement","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"229","resultStr":"{\"title\":\"The evolution and impact of code smells: A case study of two open source systems\",\"authors\":\"Steffen M. Olbrich, D. Cruzes, V. Basili, N. Zazworka\",\"doi\":\"10.1109/ESEM.2009.5314231\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Code smells are design flaws in object-oriented designs that may lead to maintainability issues in the further evolution of the software system. This study focuses on the evolution of code smells within a system and their impact on the change behavior (change frequency and size). The study investigates two code smells, God Class and Shotgun Surgery, by analyzing the historical data over several years of development of two large scale open source systems. The detection of code smells in the evolution of those systems was performed by the application of an automated approach using detection strategies. The results show that we can identify different phases in the evolution of code smells during the system development and that code smell infected components exhibit a different change behavior. This information is useful for the identification of risk areas within a software system that need refactoring to assure a future positive evolution.\",\"PeriodicalId\":128479,\"journal\":{\"name\":\"2009 3rd International Symposium on Empirical Software Engineering and Measurement\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-10-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"229\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 3rd International Symposium on Empirical Software Engineering and Measurement\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ESEM.2009.5314231\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 3rd International Symposium on Empirical Software Engineering and Measurement","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ESEM.2009.5314231","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The evolution and impact of code smells: A case study of two open source systems
Code smells are design flaws in object-oriented designs that may lead to maintainability issues in the further evolution of the software system. This study focuses on the evolution of code smells within a system and their impact on the change behavior (change frequency and size). The study investigates two code smells, God Class and Shotgun Surgery, by analyzing the historical data over several years of development of two large scale open source systems. The detection of code smells in the evolution of those systems was performed by the application of an automated approach using detection strategies. The results show that we can identify different phases in the evolution of code smells during the system development and that code smell infected components exhibit a different change behavior. This information is useful for the identification of risk areas within a software system that need refactoring to assure a future positive evolution.