Quality attribute modeling and quality aware product configuration in software product lines

Zhang, Guoheng; Ye, Huilin; Lin, Yuqing

doi:10.1007/s11219-013-9197-z

Cited by 33 publications

(32 citation statements)

References 19 publications

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“…In the first stage, after applying the inclusion and exclusion criteria, 46 papers were included and 103 papers were excluded (4 are duplicated papers). In the second stage, for each reference of primary studies included, we analyze the title and we included more 6 papers [1,6,25,26,29,37] that present additional tools to support the SPL management process (technique called "snowballing"). This technique was necessary in order to have a more complete set of tools.…”

Section: Results and Analysesmentioning

confidence: 99%

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Software Reuse for Dynamic Systems in the Cloud and Beyond

Schaefer¹,

Stamelos²

2014

Lecture Notes in Computer Science

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Section: Results and Analysesmentioning

confidence: 99%

“…Figure 1 shows the division of modules between the areas supported by MC. Four (4) modules represent the commonalities of the MC SPL, twenty-nine (29) modules represent the variabilities of the MC SPL and, twelve (12) modules represent the product-specific assets, totaling forty-five (45) modules in the MC SPL.…”

Section: Planningmentioning

confidence: 99%

Software Reuse for Dynamic Systems in the Cloud and Beyond

Schaefer¹,

Stamelos²

2014

Lecture Notes in Computer Science

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“…The v eigenvector is a non-null vector such that given a matrix A and an eigenvalue λ, we have the following relation = Av λv. Finally, the most important features are included in the product Tan et al, 2014;Zhang et al, 2014). Zhang et al (2014) introduce the usage of positive and negative impacts over NFPs.…”

Section: Encoding In Analytic Hierarchy Processmentioning

confidence: 99%

“…Finally, the most important features are included in the product Tan et al, 2014;Zhang et al, 2014). Zhang et al (2014) introduce the usage of positive and negative impacts over NFPs. An NFP positive impact measures the importance of including a feature in a final product configuration, while the negative impact measures the importance of discarding the feature in the final product configuration.…”

Section: Encoding In Analytic Hierarchy Processmentioning

confidence: 99%

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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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