FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2024826021> ?p ?o ?g. }

• W2024826021 endingPage "565" @default.
• W2024826021 startingPage "519" @default.
• W2024826021 abstract "Software product line engineering is about producing a set of similar products in a certain domain. A variability model documents the variability amongst products in a product line. The specification of variability can be extended with quality information, such as measurable quality attributes (e.g., CPU and memory consumption) and constraints on these attributes (e.g., memory consumption should be in a range of values). However, the wrong use of constraints may cause anomalies in the specification which must be detected (e.g., the model could represent no products). Furthermore, based on such quality information, it is possible to carry out quality-aware analyses, i.e., the product line engineer may want to verify whether it is possible to build a product that satisfies a desired quality. The challenge for quality-aware specification and analysis is threefold. First, there should be a way to specify quality information in variability models. Second, it should be possible to detect anomalies in the variability specification associated with quality information. Third, there should be mechanisms to verify the variability model to extract useful information, such as the possibility to build a product that fulfils certain quality conditions (e.g., is there any product that requires less than 512 MB of memory?). In this article, we present an approach for quality-aware analysis in software product lines using the orthogonal variability model (OVM) to represent variability. We propose to map variability represented in the OVM associated with quality information to a constraint satisfaction problem and to use an off-the-shelf constraint programming solver to automatically perform the verification task. To illustrate our approach, we use a product line in the automotive domain which is an example that was created in a national project by a leading car company. We have developed a prototype tool named FaMa-OVM, which works as a proof of concepts. We were able to identify void models, dead and false optional elements, and check whether the product line example satisfies quality conditions." @default.
• W2024826021 created "2016-06-24" @default.
• W2024826021 creator A5001325910 @default.
• W2024826021 creator A5013117788 @default.
• W2024826021 creator A5038964333 @default.
• W2024826021 creator A5058851094 @default.
• W2024826021 creator A5072611940 @default.
• W2024826021 date "2011-08-02" @default.
• W2024826021 modified "2023-10-18" @default.
• W2024826021 title "Quality-aware analysis in product line engineering with the orthogonal variability model" @default.
• W2024826021 cites W1491897521 @default.
• W2024826021 cites W1546787368 @default.
• W2024826021 cites W1583539488 @default.
• W2024826021 cites W1591726984 @default.
• W2024826021 cites W1608654004 @default.
• W2024826021 cites W1968830561 @default.
• W2024826021 cites W2031162680 @default.
• W2024826021 cites W2067838808 @default.
• W2024826021 cites W2082677523 @default.
• W2024826021 cites W2099213660 @default.
• W2024826021 cites W2113201637 @default.
• W2024826021 cites W2128606483 @default.
• W2024826021 cites W2128967738 @default.
• W2024826021 cites W2129056090 @default.
• W2024826021 cites W2129316299 @default.
• W2024826021 cites W2137445391 @default.
• W2024826021 cites W2156315212 @default.
• W2024826021 cites W2160616025 @default.
• W2024826021 cites W2294168344 @default.
• W2024826021 cites W2477378326 @default.
• W2024826021 doi "https://doi.org/10.1007/s11219-011-9156-5" @default.
• W2024826021 hasPublicationYear "2011" @default.
• W2024826021 type Work @default.
• W2024826021 sameAs 2024826021 @default.
• W2024826021 citedByCount "36" @default.
• W2024826021 countsByYear W20248260212012 @default.
• W2024826021 countsByYear W20248260212013 @default.
• W2024826021 countsByYear W20248260212014 @default.
• W2024826021 countsByYear W20248260212015 @default.
• W2024826021 countsByYear W20248260212016 @default.
• W2024826021 countsByYear W20248260212017 @default.
• W2024826021 countsByYear W20248260212018 @default.
• W2024826021 countsByYear W20248260212019 @default.
• W2024826021 countsByYear W20248260212020 @default.
• W2024826021 countsByYear W20248260212021 @default.
• W2024826021 countsByYear W20248260212022 @default.
• W2024826021 countsByYear W20248260212023 @default.
• W2024826021 crossrefType "journal-article" @default.
• W2024826021 hasAuthorship W2024826021A5001325910 @default.
• W2024826021 hasAuthorship W2024826021A5013117788 @default.
• W2024826021 hasAuthorship W2024826021A5038964333 @default.
• W2024826021 hasAuthorship W2024826021A5058851094 @default.
• W2024826021 hasAuthorship W2024826021A5072611940 @default.
• W2024826021 hasBestOaLocation W20248260212 @default.
• W2024826021 hasConcept C111472728 @default.
• W2024826021 hasConcept C120823896 @default.
• W2024826021 hasConcept C124101348 @default.
• W2024826021 hasConcept C127413603 @default.
• W2024826021 hasConcept C13736549 @default.
• W2024826021 hasConcept C138885662 @default.
• W2024826021 hasConcept C149091818 @default.
• W2024826021 hasConcept C174683762 @default.
• W2024826021 hasConcept C199360897 @default.
• W2024826021 hasConcept C200601418 @default.
• W2024826021 hasConcept C2524010 @default.
• W2024826021 hasConcept C2777904410 @default.
• W2024826021 hasConcept C2778177629 @default.
• W2024826021 hasConcept C2779530757 @default.
• W2024826021 hasConcept C33923547 @default.
• W2024826021 hasConcept C41008148 @default.
• W2024826021 hasConcept C45135082 @default.
• W2024826021 hasConcept C529173508 @default.
• W2024826021 hasConcept C5977032 @default.
• W2024826021 hasConcept C90673727 @default.
• W2024826021 hasConceptScore W2024826021C111472728 @default.
• W2024826021 hasConceptScore W2024826021C120823896 @default.
• W2024826021 hasConceptScore W2024826021C124101348 @default.
• W2024826021 hasConceptScore W2024826021C127413603 @default.
• W2024826021 hasConceptScore W2024826021C13736549 @default.
• W2024826021 hasConceptScore W2024826021C138885662 @default.
• W2024826021 hasConceptScore W2024826021C149091818 @default.
• W2024826021 hasConceptScore W2024826021C174683762 @default.
• W2024826021 hasConceptScore W2024826021C199360897 @default.
• W2024826021 hasConceptScore W2024826021C200601418 @default.
• W2024826021 hasConceptScore W2024826021C2524010 @default.
• W2024826021 hasConceptScore W2024826021C2777904410 @default.
• W2024826021 hasConceptScore W2024826021C2778177629 @default.
• W2024826021 hasConceptScore W2024826021C2779530757 @default.
• W2024826021 hasConceptScore W2024826021C33923547 @default.
• W2024826021 hasConceptScore W2024826021C41008148 @default.
• W2024826021 hasConceptScore W2024826021C45135082 @default.
• W2024826021 hasConceptScore W2024826021C529173508 @default.
• W2024826021 hasConceptScore W2024826021C5977032 @default.
• W2024826021 hasConceptScore W2024826021C90673727 @default.
• W2024826021 hasIssue "3-4" @default.
• W2024826021 hasLocation W20248260211 @default.
• W2024826021 hasLocation W20248260212 @default.
• W2024826021 hasOpenAccess W2024826021 @default.

• next