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Automated analysis of feature models: Quo vadis?

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Abstract

Feature models have been used since the 90s to describe software product lines as a way of reusing common parts in a family of software systems. In 2010, a systematic literature review was published summarizing the advances and settling the basis of the area of automated analysis of feature models (AAFM). From then on, different studies have applied the AAFM in different domains. In this paper, we provide an overview of the evolution of this field since 2010 by performing a systematic mapping study considering 423 primary sources. We found six different variability facets where the AAFM is being applied that define the tendencies: product configuration and derivation; testing and evolution; reverse engineering; multi-model variability-analysis; variability modelling and variability-intensive systems. We also confirmed that there is a lack of industrial evidence in most of the cases. Finally, we present where and when the papers have been published and who are the authors and institutions that are contributing to the field. We observed that the maturity is proven by the increment in the number of journals published along the years as well as the diversity of conferences and workshops where papers are published. We also suggest some synergies with other areas such as cloud or mobile computing among others that can motivate further research in the future.

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Notes

  1. http://www.pure-systems.com/.

  2. López-Herrejón et al. [19] reduce the period of time due to the topic handled.

  3. http://scholar.google.com.

  4. http://www.scopus.com.

  5. Note that, as well as the standard process proposed defined by [25] to query bibliographic databases, we added a second group of papers citing the paper that settle the body of knowledge of AAFM [4] as justified in Sect. 3.1.

  6. www.scival.com.

  7. www.jabref.com.

  8. https://jcr.incites.thomsonreuters.com.

  9. https://www.scimagojr.com.

  10. To get the full list of first authors you can take a look to the URL provided in the additional material section.

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Acknowledgements

This work was supported, in part, by the European Commission (FEDER), by the Spanish government under BELi (TIN2015-70560-R) project and by the Andalusian government under the COPAS (TIC-1867) project. You can find all the material used in this paper in the website https://isa-group.github.io/aafm-quo-vadis/.

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  1. Dept. Lenguajes y Sistemas Informáticos, University of Seville, Avda. Reina Mercedes s/n, 41012, Seville, Spain

    José A. Galindo, David Benavides, Pablo Trinidad, Antonio-Manuel Gutiérrez-Fernández & Antonio Ruiz-Cortés

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A Conferences and journals

A Conferences and journals

This section contains all the material used in this mapping study. See Tables 10 and 11.

Table 10 Conferences and number of papers from the survey
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Table 11 Journals and number of papers from the survey
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Galindo, J.A., Benavides, D., Trinidad, P. et al. Automated analysis of feature models: Quo vadis?. Computing 101, 387–433 (2019). https://doi.org/10.1007/s00607-018-0646-1

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