{"title":"A framework for assessing the evolvability characteristics along with sub-characteristics in AOSQ model using fuzzy logic tool","authors":"Pankaj Kumar, S. K. Singh","doi":"10.1109/CCAA.2017.8229839","DOIUrl":null,"url":null,"abstract":"Over the past few decades, IT industry has faced the difficulties of evolving their software systems in order to live on the market and to compete with similar software systems. For software systems to live on market, they should derived new additional design requirements and concert themselves to the new evolving environment. Evolvability is most crucial and essential attribute to evaluate the software development. Due to gradual development of system, the AOP-based software moves closer to researcher and practitioner. It is sufficient straightforward to reuse the system than developing the new system. Evolvability reduces the different factors like development cost, time (i.e. installation and access), maintenance and effort of software system. This paper explores a framework to assess and verification of evolvability in AOSQ model using fuzzy logic toolbox. All the values of evolvability and its related characteristics are calculated by analytic hierarchy process (AHP) tool.","PeriodicalId":6627,"journal":{"name":"2017 International Conference on Computing, Communication and Automation (ICCCA)","volume":"28 1","pages":"339-344"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Computing, Communication and Automation (ICCCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCAA.2017.8229839","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
Over the past few decades, IT industry has faced the difficulties of evolving their software systems in order to live on the market and to compete with similar software systems. For software systems to live on market, they should derived new additional design requirements and concert themselves to the new evolving environment. Evolvability is most crucial and essential attribute to evaluate the software development. Due to gradual development of system, the AOP-based software moves closer to researcher and practitioner. It is sufficient straightforward to reuse the system than developing the new system. Evolvability reduces the different factors like development cost, time (i.e. installation and access), maintenance and effort of software system. This paper explores a framework to assess and verification of evolvability in AOSQ model using fuzzy logic toolbox. All the values of evolvability and its related characteristics are calculated by analytic hierarchy process (AHP) tool.