onr:"swepub:oai:DiVA.org:kth-305416"
Search: onr:"swepub:oai:DiVA.org:kth-305416" > Category Theory Fra...
- 1 of 1
- Previous record
- Next record
- To hitlist
Category Theory Framework for Variability Models with Non-functional Requirements
-
- Munoz, Daniel-Jesus (author)
- Univ Malaga, ITIS Software, Malaga, Spain.;Univ Malaga, Dept LCC, Andalucia Tech, CAOSD, Malaga, Spain.
-
- Gurov, Dilian, 1964- (author)
- KTH,Teoretisk datalogi, TCS
-
- Pinto, Monica (author)
- Univ Malaga, ITIS Software, Malaga, Spain.;Univ Malaga, Dept LCC, Andalucia Tech, CAOSD, Malaga, Spain.
- show more...
- show less...
- Univ Malaga, ITIS Software, Malaga, Spain;Univ Malaga, Dept LCC, Andalucia Tech, CAOSD, Malaga, Spain. Teoretisk datalogi, TCS (creator_code:org_t)
- 2021-06-24
- 2021
- English.
- In: Advanced Information Systems Engineering (Caise 2021). - Cham : SPRINGER INTERNATIONAL PUBLISHING AG. ; , s. 397-413
- Conference paper (peer-reviewed)
Abstract
Subject headings
Close
- In Software Product Line (SPL) engineering one uses Variability Models (VMs) as input to automated reasoners to generate optimal products according to certain Quality Attributes (QAs). Variability models, however, and more specifically those including numerical features (i.e., NVMs), do not natively support QAs, and consequently, neither do automated reasoners commonly used for variability resolution. However, those satisfiability and optimisation problems have been covered and refined in other relational models such as databases. Category Theory (CT) is an abstract mathematical theory typically used to capture the common aspects of seemingly dissimilar algebraic structures. We propose a unified relational modelling framework subsuming the structured objects of VMs and QAs and their relationships into algebraic categories. This abstraction allows a combination of automated reasoners over different domains to analyse SPLs. The solutions' optimisation can now be natively performed by a combination of automated theorem proving, hashing, balanced-trees and chasing algorithms. We validate this approach by means of the edge computing SPL tool HADAS.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Keyword
- Numerical variability model
- Feature
- Non-functional requirement
- Quality attribute
- Category theory
Publication and Content Type
- ref (subject category)
- kon (subject category)
To the university's database
- 1 of 1
- Previous record
- Next record
- To hitlist
Find more in SwePub
- By the author/editor
- Munoz, Daniel-Je ...
- Gurov, Dilian, 1 ...
- Pinto, Monica
- Fuentes, Lidia
- About the subject
-
- NATURAL SCIENCES
- NATURAL SCIENCES
- and Computer and Inf ...
- and Computer Science ...
- Articles in the publication
- Advanced Informa ...
- By the university
- Royal Institute of Technology
Search outside SwePub
- Extend your search to:
- Google Book Search
- Google Scholar
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.
- Copyright © LIBRIS - National Library Systems
- LIBRIS.kb.se
