Quality-centric feature model configuration using goal models

Noorian, Mahdi; Bagheri, Ebrahim; Du, Weichang

doi:10.1145/2851613.2851959

Cited by 5 publications

(1 citation statement)

References 13 publications

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“…Model and Mapping (MM) approaches employ a modelling technique and a set of mapping rules to derive PL configurations based on decision Noorian et al (2016) …”

Section: Encoding In Model and Mapping Approachesmentioning

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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“…Model and Mapping (MM) approaches employ a modelling technique and a set of mapping rules to derive PL configurations based on decision Noorian et al (2016) …”

Section: Encoding In Model and Mapping Approachesmentioning

confidence: 99%