{"title":"基于分类学的软件产品线协同进化模型","authors":"Anissa Benlarabi","doi":"10.1109/RCIS.2014.6861084","DOIUrl":null,"url":null,"abstract":"The evolution of a software product line is more challenging than the evolution of a single product, because its artifacts depend on many products. If a change is not well studied, it can break the integrity of the reference architecture of the software product line and all the derived products. Hence, when dealing with evolution, the understanding of change and its impact must be the most important activity. Biology is the science which studied evolution the most. Therefore it was necessary for us to understand evolution in biology in order to handle evolution in software product lines. This paper presents our approach to deal with change understanding in software product line using co-evolution analysis which was used in biology to understand how organisms influence each other during their evolution over time. Similarly to biological co-evolution, the co-evolution of artifacts of a software product line consists on analyzing how the evolution of an artifact influences the evolution of the others. The input data used in our approach are extracted from the history of changes that happened to each version of the software product. Our objective is to establish a co-evolution model for software product lines using Cladistics classification which illustrates the evolution of a population through an evolutionary tree.","PeriodicalId":288073,"journal":{"name":"2014 IEEE Eighth International Conference on Research Challenges in Information Science (RCIS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Towards a co-evolution model for software product lines based on cladistics\",\"authors\":\"Anissa Benlarabi\",\"doi\":\"10.1109/RCIS.2014.6861084\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The evolution of a software product line is more challenging than the evolution of a single product, because its artifacts depend on many products. If a change is not well studied, it can break the integrity of the reference architecture of the software product line and all the derived products. Hence, when dealing with evolution, the understanding of change and its impact must be the most important activity. Biology is the science which studied evolution the most. Therefore it was necessary for us to understand evolution in biology in order to handle evolution in software product lines. This paper presents our approach to deal with change understanding in software product line using co-evolution analysis which was used in biology to understand how organisms influence each other during their evolution over time. Similarly to biological co-evolution, the co-evolution of artifacts of a software product line consists on analyzing how the evolution of an artifact influences the evolution of the others. The input data used in our approach are extracted from the history of changes that happened to each version of the software product. Our objective is to establish a co-evolution model for software product lines using Cladistics classification which illustrates the evolution of a population through an evolutionary tree.\",\"PeriodicalId\":288073,\"journal\":{\"name\":\"2014 IEEE Eighth International Conference on Research Challenges in Information Science (RCIS)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Eighth International Conference on Research Challenges in Information Science (RCIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RCIS.2014.6861084\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Eighth International Conference on Research Challenges in Information Science (RCIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RCIS.2014.6861084","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards a co-evolution model for software product lines based on cladistics
The evolution of a software product line is more challenging than the evolution of a single product, because its artifacts depend on many products. If a change is not well studied, it can break the integrity of the reference architecture of the software product line and all the derived products. Hence, when dealing with evolution, the understanding of change and its impact must be the most important activity. Biology is the science which studied evolution the most. Therefore it was necessary for us to understand evolution in biology in order to handle evolution in software product lines. This paper presents our approach to deal with change understanding in software product line using co-evolution analysis which was used in biology to understand how organisms influence each other during their evolution over time. Similarly to biological co-evolution, the co-evolution of artifacts of a software product line consists on analyzing how the evolution of an artifact influences the evolution of the others. The input data used in our approach are extracted from the history of changes that happened to each version of the software product. Our objective is to establish a co-evolution model for software product lines using Cladistics classification which illustrates the evolution of a population through an evolutionary tree.