B. Cafeo, Claus Hunsen, Alessandro F. Garcia, S. Apel, Jaejoon Lee
{"title":"Segregating feature interfaces to support software product line maintenance","authors":"B. Cafeo, Claus Hunsen, Alessandro F. Garcia, S. Apel, Jaejoon Lee","doi":"10.1145/2889443.2889451","DOIUrl":null,"url":null,"abstract":"Although software product lines are widely used in practice, their maintenance is challenging. Features as units of behaviour can be heavily scattered across the source code of a product line, hindering modular reasoning. To alleviate this problem, feature interfaces aim at enhancing modular reasoning about features. However, considering all members of a feature interface is often cumbersome, especially due to the large number of members arising in practice. To address this problem, we present an approach to group members of a feature interface based on their mutual dependencies. We argue that often only a subset of all interface members is relevant to a maintenance task. Therefore, we propose a graph representation that is able to capture the collaboration between members and apply a clustering algorithm to it to group highly-related members and segregate non-related members. On a set of ten versions of a real-world product line, we evaluate the effectiveness of our approach, by comparing the two types of feature interfaces (segregated vs. original interfaces) with co-change information from the version-control system. We found a potential reduction of 62% of the interface members to be considered during maintenance. This way, the effort to reason about features can be reduced.","PeriodicalId":225551,"journal":{"name":"Proceedings of the 15th International Conference on Modularity","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 15th International Conference on Modularity","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2889443.2889451","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Although software product lines are widely used in practice, their maintenance is challenging. Features as units of behaviour can be heavily scattered across the source code of a product line, hindering modular reasoning. To alleviate this problem, feature interfaces aim at enhancing modular reasoning about features. However, considering all members of a feature interface is often cumbersome, especially due to the large number of members arising in practice. To address this problem, we present an approach to group members of a feature interface based on their mutual dependencies. We argue that often only a subset of all interface members is relevant to a maintenance task. Therefore, we propose a graph representation that is able to capture the collaboration between members and apply a clustering algorithm to it to group highly-related members and segregate non-related members. On a set of ten versions of a real-world product line, we evaluate the effectiveness of our approach, by comparing the two types of feature interfaces (segregated vs. original interfaces) with co-change information from the version-control system. We found a potential reduction of 62% of the interface members to be considered during maintenance. This way, the effort to reason about features can be reduced.