The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Automated analysis of feature models 20 years later: A literature review
Open accessAbstract
Software product line engineering is about producing a set of related products that share more commonalities than variabilities. Feature models are widely used for variability and commonality management in software product lines. Feature models are information models where a set of products are represented as a set of features in a single model. The automated analysis of feature models deals with the computer-aided extraction of information from feature models. The literature on this topic has contributed with a set of operations, techniques, tools and empirical results which have not been surveyed until now. This paper provides a comprehensive literature review on the automated analysis of feature models 20 years after of their invention. This paper contributes by bringing together previously disparate streams of work to help shed light on this thriving area. We also present a conceptual framework to understand the different proposals as well as categorise future contributions. We finally discuss the different studies and propose some challenges to be faced in the future.
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Cites
Graph-Based Algorithms for Boolean Function Manipulation
Bryant (1986) · IEEE Transactions on Computers · doi:10.1109/tc.1986.1676819 · Cited by 8,891
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The Description Logic Handbook: Theory, Implementation and Applications
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OWL Web Ontology Language Reference
Dean, M., Guus Schreiber, A., Bechhofer, S., van Harmelen, F., Hendler, J., Horrocks, I. R., MacGuinness, D., Patel‐Schneider, P. F., & Stein, L. A. (2004) · Data Archiving and Networked Services (DANS) · Cited by 2,394
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QFLan: A Tool for the Quantitative Analysis of Highly Reconfigurable Systems
Vandin, A., ter Beek, M. H., Legay, A., & Lluch Lafuente, A. (2018) · EasyChair Preprints · doi:10.29007/1mjd · Cited by 196
On using grey literature and google scholar in systematic literature reviews in software engineering
Yasin, A., Fatima, R., Wen, L., Afzal, W., Azhar, M., & Torkar, R. (2020) · IEEE Access · doi:10.1109/access.2020.2971712 · Cited by 85
Developing Multi-Agent LLM Applications Through Continuous Human-LLM Co-Programming
Song, H., Goknil, A., Jiang, X., Melum, E., Joe, H., Gazzotti, C., Frascolla, V., Videsjorden, A. N., & Nguyen, P. (2025) · 2025 IEEE/ACM 4th International Conference on AI Engineering – Software Engineering for AI (CAIN) · doi:10.1109/cain66642.2025.00013 · Cited by 3
Metadata
- Authors
- Benavides, D., Segura, S., & Ruiz-Cortés, A.
- Venue
- Information Systems
- Publisher
- Elsevier BV
- Published
- 2010-09
- Volume
- 35
- Issue
- 6
- Pages
- 615-636
- ISSN
- 0306-4379 (ISSN-L)
- OpenAlex
- W2128967738
- Cited by
- 1,204
- References
- 28
- FWCI
- 99.99
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
