{"title":"一套基于静态代码分析器的用于软件质量评估的java特定度量","authors":"Ciprian-Bogdan Chirila, V. Cretu","doi":"10.1109/SACI.2011.5873027","DOIUrl":null,"url":null,"abstract":"Software quality assessment can cut costs significantly from early development stages. On the other hand quality assessment helps in taking development decisions, checking the effect of fault corrections, estimating maintenance effort. Fault density based quality assessment relying on statical source code analyzers need language specific metrics in order to quantify quality as a number. Thus, we identified and defined informally a suite of Java metrics in order to accomplish our quality assessment goal.","PeriodicalId":334381,"journal":{"name":"2011 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A suite of java specific metrics for software quality assessment based on statical code analyzers\",\"authors\":\"Ciprian-Bogdan Chirila, V. Cretu\",\"doi\":\"10.1109/SACI.2011.5873027\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Software quality assessment can cut costs significantly from early development stages. On the other hand quality assessment helps in taking development decisions, checking the effect of fault corrections, estimating maintenance effort. Fault density based quality assessment relying on statical source code analyzers need language specific metrics in order to quantify quality as a number. Thus, we identified and defined informally a suite of Java metrics in order to accomplish our quality assessment goal.\",\"PeriodicalId\":334381,\"journal\":{\"name\":\"2011 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SACI.2011.5873027\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SACI.2011.5873027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A suite of java specific metrics for software quality assessment based on statical code analyzers
Software quality assessment can cut costs significantly from early development stages. On the other hand quality assessment helps in taking development decisions, checking the effect of fault corrections, estimating maintenance effort. Fault density based quality assessment relying on statical source code analyzers need language specific metrics in order to quantify quality as a number. Thus, we identified and defined informally a suite of Java metrics in order to accomplish our quality assessment goal.