L. D. Nicanor, H.R.O. Aguirre, Maricela Quintana López y Abraham Banda Madrid
{"title":"Enhancement to test case prioritization through object-oriented software architectural design","authors":"L. D. Nicanor, H.R.O. Aguirre, Maricela Quintana López y Abraham Banda Madrid","doi":"10.1109/CIMPS54606.2021.9652755","DOIUrl":null,"url":null,"abstract":"Numerous prioritization techniques have been developed taking into account time and cost constraints frequently encountered in software system development at the testing phase. Theoretically, it is possible to establish random predictive models, however, to obtain more precise results, it is important to consider the real context characteristics and the system scope to be evaluated. The main objective of this proposal is to develop a deterministic test case prioritization model, based on the object-oriented software architectural design. In the analysis process, graph theory is used to abstract the system architecture weighted with software metrics. The obtained results show that this approach can establish predictive models with greater precision and profitability in a practical area.","PeriodicalId":243734,"journal":{"name":"2021 10th International Conference On Software Process Improvement (CIMPS)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 10th International Conference On Software Process Improvement (CIMPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIMPS54606.2021.9652755","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
Numerous prioritization techniques have been developed taking into account time and cost constraints frequently encountered in software system development at the testing phase. Theoretically, it is possible to establish random predictive models, however, to obtain more precise results, it is important to consider the real context characteristics and the system scope to be evaluated. The main objective of this proposal is to develop a deterministic test case prioritization model, based on the object-oriented software architectural design. In the analysis process, graph theory is used to abstract the system architecture weighted with software metrics. The obtained results show that this approach can establish predictive models with greater precision and profitability in a practical area.