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Validating Partial Configurations of Product Lines

Published: 06 February 2019 Publication History

Abstract

Configuring a new variant of a product line is not always a one-time task. In some cases, many stakeholders are involved in the configuration process. This is needed for example, if different stakeholders are responsible for different parts of the product line and they are not allowed to see specific parts of the product line already configured in previous steps. Thus, a partial derivation can be performed, where a part of the configuration process can be done by some stakeholders, while finishing the rest of the configuration process can be achieved by others.
Validating partial configurations is a challenging task, since the selection state of some features can still be open. In addition to these open selection states of features, values of attributes, calculations of expressions, as well as constraints are needed to be handled, as they can use information, which is not defined yet. Thus, a validator that ables to address the aforementioned challenges is required. In this paper, we discuss how the partial configurations can be validated considering different cases. While these discussed cases can be applied in general, we focus in this paper on applying them with respect to the industrial variant management tool pure::variants.

References

[1]
Sven Apel, Don Batory, Christian Kästner, and Gunter Saake. 2013. Feature-Oriented Software Product Lines: Concepts and Implementation. Springer.
[2]
Don Batory. 2005. Feature Models, Grammars, and Propositional Formulas. In Proceedings of the International Software Product Line Conference (SPLC). Springer, 7--20.
[3]
David Benavides, Sergio Segura, and Antonio Ruiz-Cortés. 2010. Automated Analysis of Feature Models 20 Years Later: A Literature Review. Information Systems 35, 6 (2010), 615--708.
[4]
David Benavides, Sergio Segura, Pablo Trinidad, and Antonio Ruiz-Cortés. 2006. A First Step Towards a Framework for the Automated Analysis of Feature Models. In Proceedings of the International Software Product Line Conference (SPLC). IEEE Computer Science, 39--47.
[5]
David Benavides, Sergio Segura, Pablo Trinidad, and Antonio Ruiz-Cortés. 2006. Using Java CSP Solvers in the Automated Analyses of Feature Models. In Proceedings of the summer school on Generative and Transformational Techniques in Software Engineering (GTTSE). Springer, 399--408.
[6]
David Benavides, Pablo Trinidad, and Antonio Ruiz-Cortés. 2005. Automated Reasoning on Feature Models. In Proceedings of the International Conference on Advanced Information Systems Engineering (CAiSE) (CAiSE'05). Springer, Berlin, Heidelberg, 491--503.
[7]
David Benavides, Pablo Trinidad, and Antonio Ruiz-Cortés. 2005. Using Constraint Programming to Reason on Feature Models. In Proceedings of the International Conference on Software Engineering and Knowledge Engineering (SEKE). 677--682.
[8]
Daniel Le Berre. {n. d.}. SAT4J: A Satisfiability Library for Java. Website. ({n. d.}). Available online at http://www.sat4j.org/;.
[9]
Danilo Beuche, Holger Papajewski, and Wolfgang Schröder-Preikschat. 2004. Variability Management with Feature Models. Science of Computer Programming (SCP) 53, 3 (2004), 333--352.
[10]
Johannes Bürdek, Sascha Lity, Malte Lochau, Markus Berens, Ursula Goltz, and Andy Schürr. 2014. Staged Configuration of Dynamic Software Product Lines with Complex Binding Time Constraints. In Proceedings of the Workshop on Variability Modelling of Software-intensive Systems (VaMoS). ACM, Article 16, 8 pages.
[11]
Krzysztof Czarnecki, Simon Helsen, and Ulrich Eisenecker. 2005. Staged configuration through specialization and multilevel configuration of feature models. Software Process: Improvement and Practice 10, 2 (2005), 143--169.
[12]
Christoph Elsner. 2012. Lightweight Tool Support for Staged Product Derivation. In Proceedings of the International Software Product Line Conference (SPLC). ACM, 146--155.
[13]
Christoph Elsner, Daniel Lohmann, and Wolfgang Schröder-Preikschat. 2009. Product Derivation for Solution-driven Product Line Engineering. In Proceedings of the International Workshop Feature-Oriented Software Development (FOSD) (FOSD '09). ACM, 35--41.
[14]
Jose-Miguel Horcas, Mónica Pinto, and Lidia Fuentes. 2018. Variability Models for Generating Efficient Configurations of Functional Quality Attributes. Journal of Information and Software Technology (IST) 95 (2018), 147--164.
[15]
Kyo C. Kang, Sholom G. Cohen, James A. Hess, William E. Novak, and A. Spencer Peterson. 1990. Feature-Oriented Domain Analysis (FODA) Feasibility Study. Technical Report CMU/SEI-90-TR-21. Software Engineering Institute.
[16]
Matthias Kowal, Sofia Ananieva, and Thomas Thüm. 2016. Explaining Anomalies in Feature Models. In Proceedings of the International Conference on Generative Programming and Component Engineering (GPCE). ACM, 132--143.
[17]
Marcílio Mendonça, Andrzej Wąsowski, and Krzysztof Czarnecki. 2009. SAT-Based Analysis of Feature Models is Easy. In Proceedings of the International Software Product Line Conference (SPLC). 231--240.
[18]
Klaus Pohl, Günter Böckle, and Frank J. van der Linden. 2005. Software Product Line Engineering: Foundations, Principles and Techniques. Springer.
[19]
pure::systems. 2018. pure::variants Eclipse Plugin. User Guide. pure-systems GmbH. (2018). https://www.pure-systems.com/fileadmin/downloads/pure-variants/doc/pv-user-manual.pdf
[20]
Rick Rabiser, Paul Grunbacher, and Deepak Dhungana. 2007. Supporting Product Derivation by Adapting and Augmenting Variability Models. In Proceedings of the International Software Product Line Conference (SPLC). IEEE Computer Society, Washington, DC, USA, 141--150.
[21]
Thomas Thüm, Don Batory, and Christian Kästner. 2009. Reasoning about Edits to Feature Models. In Proceedings of the International Conference on Software Engineering (ICSE). IEEE Computer Science, 254--264.
[22]
Pablo Trinidad, David Benavides, Amador Durán, Antonio Ruiz-Cortés, and Miguel Toro. 2008. Automated Error Analysis for the Agilization of Feature Modeling. Journal of Systems and Software (JSS) 81, 6 (June 2008), 883--896.
[23]
Pablo Trinidad, David Benavides, Antonio Ruiz-Cortés, Sergio Segura, and Miguel Toro. 2006. Explanations for Agile Feature Models. In Proceedings of the International SPLC Workshop on Agile Product Line Engineering (APLE). IEEE Computer Science.
[24]
Jules White, Douglas C. Schmidt, David Benavides, Pablo Trinidad, and Antonio Ruiz-Cortés. 2008. Automated Diagnosis of Product-Line Configuration Errors in Feature Models. In Proceedings of the International Software Product Line Conference (SPLC). IEEE Computer Science, 225--234.
[25]
Jules White, Douglas C. Schmidt, David Benavides, Pablo Trinidad, and Antonio Ruiz-Cortés. 2008. Automated Diagnosis of Product-Line Configuration Errors in Feature Models. In Proceedings of the International Software Product Line Conference (SPLC). IEEE Computer Society, Washington, DC, USA, 225--234.

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  • (2023)Software Product Line Maintenance Using Multi-Objective Optimization TechniquesApplied Sciences10.3390/app1315901013:15(9010)Online publication date: 6-Aug-2023

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cover image ACM Other conferences
VaMoS '19: Proceedings of the 13th International Workshop on Variability Modelling of Software-Intensive Systems
February 2019
116 pages
ISBN:9781450366489
DOI:10.1145/3302333
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • FWO: Fund for Scientific Research - Flanders (Belgium)
  • FNRS: Fonds National de la Recherche Scientifique

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 February 2019

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Author Tags

  1. Highly configurable systems
  2. Multi-stage configuration
  3. Partial configuration
  4. Partial derivation
  5. Product configuration
  6. Software product lines

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VAMOS '19

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VaMoS '19 Paper Acceptance Rate 14 of 24 submissions, 58%;
Overall Acceptance Rate 66 of 147 submissions, 45%

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  • (2023)Software Product Line Maintenance Using Multi-Objective Optimization TechniquesApplied Sciences10.3390/app1315901013:15(9010)Online publication date: 6-Aug-2023

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