{"title":"Context transformations for goal models","authors":"P. Spoletini, Alessio Ferrari, S. Gnesi","doi":"10.1109/MoDRE.2014.6890822","DOIUrl":null,"url":null,"abstract":"This paper proposes a technique to support the requirements engineer in transforming existing models into new models to address the customer's needs. In particular, we identify a set of possible categories of context change that indicate in which direction the original model needs to evolve. Furthermore, we associate a transformation to each category, and we formalise it in terms of graph grammars. Our results are a generalisation of an experimental evaluation based on 10 models retrieved from the literature and 25 scenarios of context change. This work represents a step forward in the formalisation of requirements models since it provides the foundations of a tool to support the automatic transformation of models, and employs graph grammars to provide a formal layer to the approach.","PeriodicalId":308776,"journal":{"name":"2014 IEEE 4th International Model-Driven Requirements Engineering Workshop (MoDRE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 4th International Model-Driven Requirements Engineering Workshop (MoDRE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MoDRE.2014.6890822","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
This paper proposes a technique to support the requirements engineer in transforming existing models into new models to address the customer's needs. In particular, we identify a set of possible categories of context change that indicate in which direction the original model needs to evolve. Furthermore, we associate a transformation to each category, and we formalise it in terms of graph grammars. Our results are a generalisation of an experimental evaluation based on 10 models retrieved from the literature and 25 scenarios of context change. This work represents a step forward in the formalisation of requirements models since it provides the foundations of a tool to support the automatic transformation of models, and employs graph grammars to provide a formal layer to the approach.