Jorge Rodas-Silva, J. Galindo, Jorge García-Gutiérrez, David Benavides
Software product lines (SPL) management is one of the most important activities for the software engineer and it represents one of the key pieces of software product line engineering. When a software system grow fast, configuring a product becomes a costly and error-prone activity due to the amount of features available for configuration. This process becomes more complex when for each feature, there is more than one component that implements it. Currently the tools available for configuration management do not have automated mechanisms to facilitate the optimal components selection that meet the functions required by a given product. In this paper, we introduce a prototype component-based recommender system called RESDEC (REcommender System that suggest implementation Components from selecteD fEatures) designed to manage the best implementation components alternatives. Our tool is validated using WordPress-based websites where the implementation components are represented by plugins and the recommendations generated by RESDEC help interested parties in the search and efficient plugins selection to configure websites.
{"title":"RESDEC","authors":"Jorge Rodas-Silva, J. Galindo, Jorge García-Gutiérrez, David Benavides","doi":"10.1145/3307630.3342390","DOIUrl":"https://doi.org/10.1145/3307630.3342390","url":null,"abstract":"Software product lines (SPL) management is one of the most important activities for the software engineer and it represents one of the key pieces of software product line engineering. When a software system grow fast, configuring a product becomes a costly and error-prone activity due to the amount of features available for configuration. This process becomes more complex when for each feature, there is more than one component that implements it. Currently the tools available for configuration management do not have automated mechanisms to facilitate the optimal components selection that meet the functions required by a given product. In this paper, we introduce a prototype component-based recommender system called RESDEC (REcommender System that suggest implementation Components from selecteD fEatures) designed to manage the best implementation components alternatives. Our tool is validated using WordPress-based websites where the implementation components are represented by plugins and the recommendations generated by RESDEC help interested parties in the search and efficient plugins selection to configure websites.","PeriodicalId":117466,"journal":{"name":"Proceedings of the 23rd International Systems and Software Product Line Conference volume B - SPLC '19","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124039169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dennis Reuling, Christopher Pietsch, U. Kelter, Manuel Ohrndorf
Annotative approaches are commonly used to specify variation points in a Model-based software product line (MBSPL) implementation. Variant-specific parts are marked using annotated presence conditions in a so-called 150% model. Such approaches lead to a static feature selection (or binding), which is appropriate, i.e., for platform-specific features. However, dynamic binding, i.e. feature selection at run time, is a necessity in many (industrial) contexts. We present our tool FlexiPLE which allows for a feature-wise binding time selection, even after a MBSPL implementation. To this end, our tool a) supports the definition of binding time constraints, b) aids the user in the adaption process based upon variability analysis and c) ensures that only valid feature combinations can be selected statically and dynamically by incorporating a staged configuration approach. Our tool builds upon a robust stack of state-of-the-art technologies and tools in the context of MBSPLs.
{"title":"FlexiPLE","authors":"Dennis Reuling, Christopher Pietsch, U. Kelter, Manuel Ohrndorf","doi":"10.1145/3307630.3342395","DOIUrl":"https://doi.org/10.1145/3307630.3342395","url":null,"abstract":"Annotative approaches are commonly used to specify variation points in a Model-based software product line (MBSPL) implementation. Variant-specific parts are marked using annotated presence conditions in a so-called 150% model. Such approaches lead to a static feature selection (or binding), which is appropriate, i.e., for platform-specific features. However, dynamic binding, i.e. feature selection at run time, is a necessity in many (industrial) contexts. We present our tool FlexiPLE which allows for a feature-wise binding time selection, even after a MBSPL implementation. To this end, our tool a) supports the definition of binding time constraints, b) aids the user in the adaption process based upon variability analysis and c) ensures that only valid feature combinations can be selected statically and dynamically by incorporating a staged configuration approach. Our tool builds upon a robust stack of state-of-the-art technologies and tools in the context of MBSPLs.","PeriodicalId":117466,"journal":{"name":"Proceedings of the 23rd International Systems and Software Product Line Conference volume B - SPLC '19","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124124034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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