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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Reviewing Diagnosis Solutions for Valid Product Configurations in the Automated Analysis of Feature Models

Author 1: Cristian L. Vidal-Silva

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2019.0100168

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 1, 2019.

  • Abstract and Keywords
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Abstract: A Feature Model (FM) is an information model to represent commonalities and variabilities for all the products of a Software Product Line (SPL). The complexity and large-scale of real feature models makes their manual analysis for determining the product configurations validity a tedious or even infeasible task. Efficient solutions for the diagnosis of errors in the Automated Analysis of Feature Models (AAFM) already exist such as FMDiag and FlexDiag. Thus, this work describes the fundamental basis for both diagnosis algorithms to apply the first of them on the validity of FM product configurations. The results highlight the applicability and efficiency of FMDiag and invite us to look for additional applications in the AAFM scenarios.

Keywords: AAFM; feature model; valid product; valid config-uration; FMDiag; FlexDiag

Cristian L. Vidal-Silva, “Reviewing Diagnosis Solutions for Valid Product Configurations in the Automated Analysis of Feature Models” International Journal of Advanced Computer Science and Applications(IJACSA), 10(1), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100168

@article{Vidal-Silva2019,
title = {Reviewing Diagnosis Solutions for Valid Product Configurations in the Automated Analysis of Feature Models},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100168},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100168},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {1},
author = {Cristian L. Vidal-Silva}
}


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