Ciprian-Bogdan Chirila, Dana Juratoni, D. Tudor, V. Cretu
{"title":"Towards a software quality assessment model based on open-source statical code analyzers","authors":"Ciprian-Bogdan Chirila, Dana Juratoni, D. Tudor, V. Cretu","doi":"10.1109/SACI.2011.5873026","DOIUrl":null,"url":null,"abstract":"In the context of software engineering, quality assessment is not straightforward. Generally, quality assessment is important since it can cut costs in the product life-cycle. A software quality assessment model based on open-source analyzers and quality factors facilitates quality measurement. Our quality assessment model is based on three principles: mapping rules to quality factors, computing scores based on the percentage of rule violating entities (classes, methods, instructions), assessing quality as a weighted mean of the rule attached scores.","PeriodicalId":334381,"journal":{"name":"2011 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","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.2011.5873026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In the context of software engineering, quality assessment is not straightforward. Generally, quality assessment is important since it can cut costs in the product life-cycle. A software quality assessment model based on open-source analyzers and quality factors facilitates quality measurement. Our quality assessment model is based on three principles: mapping rules to quality factors, computing scores based on the percentage of rule violating entities (classes, methods, instructions), assessing quality as a weighted mean of the rule attached scores.