Sökning: L773:1568 4946 OR L773:1872 9681 >
A hybrid approach t...
A hybrid approach to suggest software product line portfolios
-
- dos Santos Neto, Pedro de Alcântara (författare)
- Federal University of Piauí, BRA
-
- Britto, Ricardo (författare)
- Blekinge Tekniska Högskola,Institutionen för programvaruteknik
-
- Rabêlo, Ricardo de Andrade Lira (författare)
- Federal University of Piauí, BRA
-
visa fler...
-
- Cruz, Jonathas Jivago de Almeida (författare)
- Federal University of Piauí, BRA
-
- Lira, Lira (författare)
- Federal University of Piauí, BRA
-
visa färre...
-
(creator_code:org_t)
- Elsevier, 2016
- 2016
- Engelska.
-
Ingår i: Applied Soft Computing. - : Elsevier. - 1568-4946 .- 1872-9681. ; 49, s. 1243-1255
- Relaterad länk:
-
https://urn.kb.se/re...
-
visa fler...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- Software product line (SPL) development is a new approach to software engineering which aims at the development of a whole range of products. However, as long as SPL can be useful, there are many challenges regarding the use of that approach. One of the main problems which hinders the adoption of software product line (SPL) is the complexity regarding product management. In that context, we can remark the scoping problem. One of the existent ways to deal with scoping is the product portfolio scoping (PPS). PPS aims to define the products that should be developed as well as their key features. In general, that approach is driven by marketing aspects, like cost of the product and customer satisfaction. Defining a product portfolio by using the many different available aspects is a NP-hard problem. This work presents an improved hybrid approach to solve the feature model selection problem, aiming at supporting product portfolio scoping. The proposal is based in a hybrid approach not dependent on any particular algorithm/technology. We have evaluated the usefulness and scalability of our approach using one real SPL (ArgoUML-SPL) and synthetic SPLs. As per the evaluation results, our approach is both useful from a practitioner's perspective and scalable. © 2016 Elsevier B.V.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Software Engineering (hsv//eng)
Nyckelord
- Feature model selection problem
- Fuzzy inference systems
- NSGA-II
- Product portfolio scoping
- Search based feature model selection
- Search based software engineering
- Software product lines
- Computational complexity
- Computer software
- Customer satisfaction
- Fuzzy inference
- Software design
- Software engineering
- Feature modeling
- Scoping
- Search-based software engineering
- Software Product Line
- Feature extraction
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas