{"title":"A Correlation Analysis Between ISO 25010 based Modularity and CK Metrics in Object-Oriented Software","authors":"Dini Yuniasri, S. Rochimah, A. B. Raharjo","doi":"10.1109/ICOASE51841.2020.9436617","DOIUrl":null,"url":null,"abstract":"Modularity and the CK metrics are metric values that are associated with several other quality assessments, such as flexibility and complexity. However, no studies have proven that CK metrics and modularity are correlated with each other, especially objectively and scientifically. Therefore, in this study, we show the degree of relationship between metrics quantitatively using the Pearson and Spearman correlation method. We calculate the ISO 25010 based modularity aspect values and each metric on the CK metric of the dataset manually. These metrics are measured for the level of engagement to find out which factors influence each other. This research indicates that CBO, DIT, and LCOM are directly proportional to the CCC aspect, and DIT, NOC, and LCOM are directly proportional to the CC aspect. Meanwhile, WMC and RFC are the metrics that inversely proportional to the ISO 25010 based modularity.","PeriodicalId":126112,"journal":{"name":"2020 International Conference on Advanced Science and Engineering (ICOASE)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Advanced Science and Engineering (ICOASE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOASE51841.2020.9436617","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Modularity and the CK metrics are metric values that are associated with several other quality assessments, such as flexibility and complexity. However, no studies have proven that CK metrics and modularity are correlated with each other, especially objectively and scientifically. Therefore, in this study, we show the degree of relationship between metrics quantitatively using the Pearson and Spearman correlation method. We calculate the ISO 25010 based modularity aspect values and each metric on the CK metric of the dataset manually. These metrics are measured for the level of engagement to find out which factors influence each other. This research indicates that CBO, DIT, and LCOM are directly proportional to the CCC aspect, and DIT, NOC, and LCOM are directly proportional to the CC aspect. Meanwhile, WMC and RFC are the metrics that inversely proportional to the ISO 25010 based modularity.