Measures for Quality Evaluation of Feature Models

Bezerra, Carla I. M.; Andrade, Rossana M. C.; Monteiro, José Maria

doi:10.1007/978-3-319-14130-5_20

Cited by 8 publications

(14 citation statements)

References 31 publications

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“…variability and commonality). Given the number of studies in the literature proposing approaches, models, techniques, and tools to deal with these SPL particularities [4, 5, 9, 10 ], getting to know the state‐of‐the‐art is necessary to characterise the field maturity. Therefore, we present a systematic mapping to investigate which and how the SPL activities are currently addressed by the proposed studies, to identify the trends and gaps of the current literature regarding SPL engineering.…”

Section: Background and Related Workmentioning

confidence: 99%

“…Two of the most challenging tasks during the SPL engineering are ensuring the (i) appropriate quality of the core artefacts built during the domain engineering and (ii) quality of a specific product derived through the reuse of these artefacts during the application engineering. Therefore, core artefacts are reused across multiple products, making SPL quality assessment essential to preventing errors or inconsistencies from spreading across the products [4, 5 ].…”

Section: Introductionmentioning

confidence: 99%

“…Over the last few years, many metrics for evaluating the quality of SPL have been proposed [5, 7 ]. However, studies report the lack of a set of well‐defined quality attributes for the different contexts of SPL utilisation [1, 4, 5 ].…”

Section: Introductionmentioning

confidence: 99%

“…Software metrics can be employed for assessing the quality of standards characteristics, as they provide information for understanding, controlling, and improving the software quality [4 ]. Over the last few years, many metrics for evaluating the quality of SPL have been proposed [5, 7 ]. However, studies report the lack of a set of well‐defined quality attributes for the different contexts of SPL utilisation [1, 4, 5 ].…”

Section: Introductionmentioning

confidence: 99%

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Evolution of quality assessment in SPL: a systematic mapping

et al. 2020

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Software product line (SPL) is one of the most recent and effective reuse approaches. SPL derives several products from the core artefacts. SPL engineering includes two processes: domain engineering, which identifies the common and variable features to develop the core artefacts, and application engineering, which reuses the core artefacts to derive products. Once the artefacts are reused across multiple products, quality assessment is necessary to prevent inconsistencies from spreading across all SPL products. There are several frameworks and standards, as ISO/IEC 25010:2011, to evaluate quality characteristics. In this study, the authors provide an overview of the SPL quality assessment. Therefore, they perform a systematic mapping to compile and synthesise data regarding the quality characteristics assessed in studies from 2000 to 2019. The results include the identification of 346 metrics applied in 16 software properties to evaluate three quality characteristics of the ISO/IEC 25010:2011. Additionally, they find the domain engineering evaluation frequently occurs regarding the maintainability characteristic. Moreover, they provide analyses of the: (i) metrics used by programming paradigm, (ii) metrics used by software properties, (iii) software properties evaluated for each quality characteristic, (iv) tools used to extract metrics, (v) systems used as benchmarks, and (vi) datasets used for extracting metrics.

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Section: Background and Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Evolution of quality assessment in SPL: a systematic mapping

et al. 2020

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“…Maintainability measures have been shown helpful to support the maintenance of feature models [Bezerra et al 2015]. Also, domain engineers might find difficult to assess several measures for multiple feature models [Bezerra et al 2018].…”

Section: Introductionmentioning

confidence: 99%

Visualizing the Maintainability of Feature Models in SPLs

Lima

Uchôa

Bezerra

et al. 2020

Anais Do VIII Workshop De Visualização, Evolução E Manutenção De Software (VEM 2020)

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This paper presents data visualizations obtained from the application of 15 measures used to support the maintainability evaluation of Software Product Line (SPL) and Dynamic SPL (DSPL) Feature Models (FMs). To identify these visualizations, we applied a survey to classify a set of 40 measures for evaluating the (D)SPL FMs maintainability. Five visualizations were designed from this classification to analyze the extensibility, static variability, dynamic variability, and structural complexity of the FMs. As result, the experts concluded the designed visualizations assist in FMs maintainability interpretation.

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