{"title":"Evaluation of the software maintenance tasks based on fuzzy screening","authors":"Ž. Stojanov, V. Brtka, D. Dobrilović","doi":"10.1109/SISY.2013.6662605","DOIUrl":null,"url":null,"abstract":"Evaluation of software maintenance tasks can significantly contribute to the efficiency of maintenance management, which is recognized as the most costly part of the software life cycle. This paper presents an approach to evaluation of software maintenance tasks based on fuzzy screening. The construction of data set for the case study is based on the real data extracted from the maintenance repository available in a local very small software company. In the construction of data set participated researchers and experienced software experts from the selected company. Results of the analysis provide evidence that fuzzy screening can be used for evaluation of maintenance tasks based on selected attributes. Further work directions are outlined in the conclusion section.","PeriodicalId":187088,"journal":{"name":"2013 IEEE 11th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 11th International Symposium on Intelligent Systems and Informatics (SISY)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SISY.2013.6662605","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
Evaluation of software maintenance tasks can significantly contribute to the efficiency of maintenance management, which is recognized as the most costly part of the software life cycle. This paper presents an approach to evaluation of software maintenance tasks based on fuzzy screening. The construction of data set for the case study is based on the real data extracted from the maintenance repository available in a local very small software company. In the construction of data set participated researchers and experienced software experts from the selected company. Results of the analysis provide evidence that fuzzy screening can be used for evaluation of maintenance tasks based on selected attributes. Further work directions are outlined in the conclusion section.
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