{"title":"Toward robust product realisation in software product lines","authors":"A. Vasilevskiy, Franck Chauvel, Øystein Haugen","doi":"10.1145/2934466.2934484","DOIUrl":null,"url":null,"abstract":"Product derivation is a building process of products from selected features in software product lines (SPLs). Realisation paves the way for automatic product derivation. A realisation defines a mapping between abstract features in a feature tree and their implementation artefacts in a model, and therefore governs the derivation of a new product. We experience that a realisation is not always straightforward and robust against modifications in the model. In the paper, we introduce an approach to build robust realisations. It consists of automated planning techniques and a layered architecture to yield a product. We demonstrate how our approach can leverage modern means of software design, development and validation. We evaluate the approach on a use-case provided by an industry partner and compare our technique to the existing realisation layer in the Base Variability Resolution (BVR) language.","PeriodicalId":128559,"journal":{"name":"Proceedings of the 20th International Systems and Software Product Line Conference","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 20th International Systems and Software Product Line Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2934466.2934484","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
Product derivation is a building process of products from selected features in software product lines (SPLs). Realisation paves the way for automatic product derivation. A realisation defines a mapping between abstract features in a feature tree and their implementation artefacts in a model, and therefore governs the derivation of a new product. We experience that a realisation is not always straightforward and robust against modifications in the model. In the paper, we introduce an approach to build robust realisations. It consists of automated planning techniques and a layered architecture to yield a product. We demonstrate how our approach can leverage modern means of software design, development and validation. We evaluate the approach on a use-case provided by an industry partner and compare our technique to the existing realisation layer in the Base Variability Resolution (BVR) language.