Bi-criteria genetic search for adding new features into an existing product line

Karimpour, Reza; Ruhe, Guenther

doi:10.1109/cmsbse.2013.6604434

Cited by 10 publications

(8 citation statements)

References 10 publications

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“…Karim and Ruhe [83] and Karimpour and Ruhe [84] develop Ruhe et al's work [135] on SBSE for Requirements to support requirement theme analysis to identify and add new features to existing models. Themes could be regarded as components or cross-cutting SPL concerns.…”

Section: Search Based Architectural Improvementmentioning

confidence: 98%

Search based software engineering for software product line engineering

Harman

Jia

Krinke

et al. 2014

Proceedings of the 18th International Software Product Line Conference - Volume 1

114

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This paper 1 presents a survey of work on Search Based Software Engineering (SBSE) for Software Product Lines (SPLs). We have attempted to be comprehensive, in the sense that we have sought to include all papers that apply computational search techniques to problems in software product line engineering. Having surveyed the recent explosion in SBSE for SPL research activity, we highlight some directions for future work. We focus on suggestions for the development of recent advances in genetic improvement, showing how these might be exploited by SPL researchers and practitioners: Genetic improvement may grow new products with new functional and non-functional features and graft these into SPLs. It may also merge and parameterise multiple branches to cope with SPL branchmania.

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Section: Search Based Architectural Improvementmentioning

confidence: 98%

Search based software engineering for software product line engineering

Harman

Jia

Krinke

et al. 2014

Proceedings of the 18th International Software Product Line Conference - Volume 1

114

View full text Add to dashboard Cite

show abstract

“…There are few studies that employ SBSE techniques to support SPL approach [19], [27], [30], but their optimization goal is not PLA design. Most optimization works on searchbased software design [24] use MOEAs with coupling and cohesion metrics [4], [23], [29], however, without addressing PLA design.…”

Section: Related Workmentioning

confidence: 99%

A Feature-Driven Crossover Operator for Product Line Architecture Design Optimization

Colanzi

Vergílio

2014

2014 IEEE 38th Annual Computer Software and Applications Conference

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The Product Line Architecture (PLA) design is a multi-objective optimization problem that can be properly solved in the Search Based Software Engineering (SBSE) field. However, the PLA design has specific characteristics. For example, the PLA is designed in terms of features and a highly modular PLA is necessary to enable the growth of a software product line. However, existing search based design approaches do not consider such needs. To overcome this limitation, this paper introduces a feature-driven crossover operator that aims at improving feature modularization. The proposed operator was applied in an empirical study using the multi-objective evolutionary algorithm named NSGAII. In comparison with another version of NSGAII that uses only mutation operators, the feature-driven crossover version found a greater diversity of solutions (potential PLA designs), with higher feature-based cohesion, and less feature scattering and tangling.

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“…These features are added back when the remaining decisions are defined. Karimpour and Ruhe (2013) also employ a single binary encoding, however they have a particular need on representing multiple products in the same vector. Thus, in each of the n positions of the vector, they defined m bit values.…”

Section: Salinesi Et Al (2010) Ormentioning

confidence: 99%

“…The weight of a product is multiplied by its own value, which is based on the sum of value of each feature contained in the configuration (Karimpour and Ruhe, 2013). Similarly, Ghezzi and Molzam Sharifloo (2013) define a utility function related to a complete configuration as…”

Section: Ochoa Et Almentioning

confidence: 99%

A systematic literature review on the semi-automatic configuration of extended product lines

Ochoa

González-Rojas

Pereira³

et al. 2018

Journal of Systems and Software

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Product line engineering has become essential in mass customisation given its ability to reduce production costs and time to market, and to improve product quality and customer satisfaction. In product line literature, mass customisation is known as product configuration. Currently, there are multiple heterogeneous contributions in the product line configuration domain. However, a secondary study that shows an overview of the progress, trends, and gaps faced by researchers in this domain is still missing. In this context, we provide a comprehensive systematic literature review to discover which approaches exist to support the configuration process of extended product lines and how these approaches perform in practice. Extend product lines consider non-functional properties in the product line modelling. We compare and classify a total of 66 primary studies from 2000 to 2016. Mainly, we give an in-depth view of techniques used by each work, how these techniques are evaluated and their main shortcomings. As main results, our review identified (i) the need to improve the quality of the evaluation of existing approaches, (ii) a lack of hybrid solutions to support multiple configuration constraints, and (iii) a need to improve scalability and performance conditions.

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Bi-criteria genetic search for adding new features into an existing product line

Cited by 10 publications

References 10 publications

Search based software engineering for software product line engineering

Search based software engineering for software product line engineering

A Feature-Driven Crossover Operator for Product Line Architecture Design Optimization

A systematic literature review on the semi-automatic configuration of extended product lines

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