Cited By
View all- Oh JBatory DHeradio R(2023)Finding Near-optimal Configurations in Colossal Spaces with Statistical GuaranteesACM Transactions on Software Engineering and Methodology10.1145/361166333:1(1-36)Online publication date: 23-Nov-2023
Enabling Efficient Automated Configuration Generation and Management
Pages 215 - 221
Abstract
Creating and managing valid configurations is one of the main tasks in software product line engineering. Due to the often complex constraints from a feature model, some kind of automated configuration generation is required to facilitate the configuration process for users and developers. For instance, decision propagation can be applied to support users in configuring a product from a software product line (SPL) with less manual effort and error potential, leading to a semi-automatic configuration process. Furthermore, fully-automatic configuration processes, such as random sampling or t-wise interaction sampling can be employed to test or to optimize an SPL. However, current techniques for automated configuration generation still do not scale well to SPLs with large and complex feature models. Within our thesis, we identify current challenges regarding the efficiency and effectiveness of the semi- and fully-automatic configuration process and aim to address these challenges by introducing novel techniques and improving current ones. Our preliminary results show already show promising progress for both, the semi- and fully-automatic configuration process.
References
[1]
Mustafa Al-Hajjaji, Sebastian Krieter, Thomas Thüm, Malte Lochau, and Gunter Saake. 2016. IncLing: Efficient Product-line Testing Using Incremental Pairwise Sampling. In Proceedings of the International Conference on Generative Programming: Concepts & Experiences (GPCE). ACM, 144--155.
[2]
Sven Apel, Don Batory, Christian Kästner, and Gunter Saake. 2013. Feature-Oriented Software Product Lines. Springer.
[3]
Don Batory. 2005. Feature Models, Grammars, and Propositional Formulas. In Proceedings of the International Software Product Line Conference (SPLC). Springer, 7--20.
[4]
Don Batory, David Benavides, and Antonio Ruiz-Cortés. 2006. Automated Analyses of Feature Models: Challenges Ahead. Commun. ACM (2006).
[5]
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.
[6]
Thorsten Berger, Ralf Rublack, Divya Nair, Joanne M. Atlee, Martin Becker, Krzysztof Czarnecki, and Andrzej Wąsowski. 2013. A Survey of Variability Modeling in Industrial Practice. In Proceedings of the Workshop on Variability Modelling of Software-intensive Systems (VaMoS). ACM, 7:1--7:8.
[7]
Thorsten Berger, Steven She, Rafael Lotufo, Andrzej Wąsowski, and Krzysztof Czarnecki. 2010. Variability Modeling in the Real: A Perspective from the Operating Systems Domain. In Proceedings of the International Conference on Automated Software Engineering (ASE). ACM, 73--82.
[8]
Johannes Bürdek, Timo Kehrer, Malte Lochau, Dennis Reuling, Udo Kelter, and Andy Schürr. 2015. Reasoning about Product-Line Evolution Using Complex Feature Model Differences. Automated Software Engineering 23, 4 (2015), 687--733.
[9]
Krzysztof Czarnecki and Ulrich Eisenecker. 2000. Generative Programming: Methods, Tools, and Applications. ACM/Addison-Wesley.
[10]
Krzysztof Czarnecki and Andrzej Wąsowski. 2007. Feature Diagrams and Logics: There and Back Again. In Proceedings of the International Software Product Line Conference (SPLC). IEEE Computer Science, 23--34.
[11]
José A Galindo, Mathieu Acher, Juan Manuel Tirado, Cristian Vidal, Benoit Baudry, and David Benavides. 2016. Exploiting the enumeration of all feature model configurations: a new perspective with distributed computing. In Proceedings of the 20th International Systems and Software Product Line Conference. ACM, 74--78.
[12]
Christopher Henard, Mike Papadakis, and Yves Le Traon. 2014. Mutation-Based Generation of Software Product Line Test Configurations. In Search-Based Software Engineering, Claire Le Goues and Shin Yoo (Eds.). Lecture Notes in Computer Science, Vol. 8636. Springer International Publishing, 92--106.
[13]
Christopher Henard, Mike Papadakis, Gilles Perrouin, Jacques Klein, Patrick Heymans, and Yves Le Traon. 2014. Bypassing the Combinatorial Explosion: Using Similarity to Generate and Prioritize T-Wise Test Configurations for Software Product Lines. IEEE Transactions on Software Engineering (TSE) 40, 7 (2014), 650--670.
[14]
Arnaud Hubaux, Yingfei Xiong, and Krzysztof Czarnecki. 2012. A User Survey of Configuration Challenges in Linux and eCos. In Proceedings of the Workshop on Variability Modelling of Software-intensive Systems (VaMoS). ACM, 149--155.
[15]
Arnaud Hubaux, Yingfei Xiong, and Krzysztof Czarnecki. 2012. A User Survey of Configuration Challenges in Linux and eCos. In Proceedings of the Workshop on Variability Modelling of Software-intensive Systems (VaMoS). 149--155.
[16]
Mikolas Janota. 2008. Do SAT Solvers Make Good Configurators?. In Proceedings of the International Software Product Line Conference (SPLC). 191--195.
[17]
Andy Kenner, Christian Kästner, Steffen Haase, and Thomas Leich. 2010. Type-Chef: Toward Type Checking #Ifdef Variability in C. In Proceedings of the International SPLC Workshop Feature-Oriented Software Development (FOSD). ACM, 25--32.
[18]
Alexander Knüppel, Thomas Thüm, Stephan Mennicke, Jens Meinicke, and Ina Schaefer. 2017. Is There a Mismatch Between Real-World Feature Models and Product-Line Research?. In Proceedings of the European Software Engineering Conference/Foundations of Software Engineering (ESECFSE). ACM, 291--302.
[19]
Sebastian Krieter, Thomas Thüm, Sandro Schulze, Reimar Schröter, and Gunter Saake. 2018. Propagating Configuration Decisions with Modal Implication Graphs. In Proceedings of the International Conference on Software Engineering (ICSE). ACM, 898--909.
[20]
Daniel Le Berre and Anne Parrain. 2010. The Sat4j Library, Release 2.2, System Description. Journal on Satisfiability, Boolean Modeling and Computation 7, 2--3 (2010), 59--64.
[21]
Jörg Liebig, Alexander von Rhein, Christian Kästner, Sven Apel, Jens Dörre, and Christian Lengauer. 2013. Scalable Analysis of Variable Software. In Proceedings of the European Software Engineering Conference/Foundations of Software Engineering (ESECFSE). ACM, 81--91.
[22]
Sascha Lity, Sophia Nahrendorf, Thomas Thüm, Christoph Seidl, and Ina Schaefer. 2018. 175% Modeling for Product-Line Evolution of Domain Artifacts. In Proceedings of the Workshop on Variability Modelling of Software-intensive Systems (VaMoS). ACM, 27--34.
[23]
Jens Meinicke, Thomas Thüm, Reimar Schröter, Fabian Benduhn, Thomas Leich, and Gunter Saake. 2017. Mastering Software Variability with FeatureIDE. Springer.
[24]
Marcílio Mendonça. 2009. Efficient Reasoning Techniques for Large Scale Feature Models. Ph.D. Dissertation. University of Waterloo.
[25]
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). Software Engineering Institute, 231--240.
[26]
Sarah Nadi, Thorsten Berger, Christian Kästner, and Krzysztof Czarnecki. 2015. Where Do Configuration Constraints Stem From? An Extraction Approach and an Empirical Study. IEEE Transactions on Software Engineering (TSE) 41, 8 (2015), 820--841.
[27]
Michael Nieke, Jacopo Mauro, Christoph Seidl, Thomas Thüm, Ingrid Chieh Yu, and Felix Franzke. 2018. Anomaly Analyses for Feature-Model Evolution. In Proceedings of the International Conference on Generative Programming and Component Engineering(GPCE). ACM, 188--201.
[28]
Jeho Oh, Don Batory, Margaret Myers, and Norbert Siegmund. 2017. Finding near-optimal configurations in product lines by random sampling. In Foundations of Software Engineering. ACM, 61--71.
[29]
Juliana Alves Pereira, Sebastian Krieter, Jens Meinicke, Reimar Schröter, Gunter Saake, and Thomas Leich. 2016. FeatureIDE: Scalable Product Configuration of Variable Systems. In Proceedings of the International Conference on Software Reuse (ICSR). Springer, 397--401.
[30]
Juliana Alves Pereira, Pawel Matuszyk, Sebastian Krieter, Myra Spiliopoulou, and Gunter Saake. 2018. Personalized recommender systems for product-line configuration processes. Computer Languages, Systems & Structures 54 (2018), 451--471.
[31]
Quentin Plazar, Mathieu Acher, Gilles Perrouin, Xavier Devroey, and Maxime Cordy. 2019. Uniform Sampling of SAT Solutions for Configurable Systems: Are We There Yet?. In IEEE Conference on Software Testing, Validation and Verification (ICST). 240--251.
[32]
Sebastian Ruland, Lars Luthmann, Johannes Bürdek, Sascha Lity, Thomas Thüm, Malte Lochau, and Márcio Ribeiro. 2018. Measuring Effectiveness of Sample-Based Product-Line Testing. In Proceedings of the International Conference on Generative Programming and Component Engineering (GPCE). ACM, 119--133.
[33]
Thomas Thüm, Christian Kästner, Fabian Benduhn, Jens Meinicke, Gunter Saake, and Thomas Leich. 2014. FeatureIDE: An Extensible Framework for Feature-Oriented Software Development. Science of Computer Programming (SCP) 79, 0 (2014), 70--85.
[34]
Mahsa Varshosaz, Mustafa Al-Hajjaji, Thomas Thüm, Tobias Runge, Mohammad Reza Mousavi, and Ina Schaefer. 2018. A Classification of Product Sampling for Software Product Lines. In Proceedings of the International Software Product Line Conference (SPLC). ACM, 1--13.
Index Terms
- Enabling Efficient Automated Configuration Generation and Management
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Published In
September 2019
252 pages
ISBN:9781450366687
DOI:10.1145/3307630
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Association for Computing Machinery
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Publication History
Published: 09 September 2019
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SPLC 2019
SPLC 2019: 23rd International Systems and Software Product Line Conference
September 9 - 13, 2019
Paris, France
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Overall Acceptance Rate 167 of 463 submissions, 36%
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View all- Oh JBatory DHeradio R(2023)Finding Near-optimal Configurations in Colossal Spaces with Statistical GuaranteesACM Transactions on Software Engineering and Methodology10.1145/361166333:1(1-36)Online publication date: 23-Nov-2023
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