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Version models for software configuration management
ACM Computing Surveys (CSUR)
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Communications of the ACM
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IEEE Transactions on Software Engineering
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Generative programming: methods, tools, and applications
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ACM SIGPLAN Notices
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Communications of the ACM
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Journal of Systems and Software
A graph based architectural (Re)configuration language
Proceedings of the 8th European software engineering conference held jointly with 9th ACM SIGSOFT international symposium on Foundations of software engineering
Software Configuration Management Patterns: Effective Teamwork, Practical Integration
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IEEE Software
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WICSA '01 Proceedings of the Working IEEE/IFIP Conference on Software Architecture
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ICSR '98 Proceedings of the 5th International Conference on Software Reuse
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ICSM '04 Proceedings of the 20th IEEE International Conference on Software Maintenance
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Science of Computer Programming - Special issue: Software variability management
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ACM Computing Surveys (CSUR)
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IEEE Transactions on Software Engineering
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FOSD '09 Proceedings of the First International Workshop on Feature-Oriented Software Development
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Proceedings of the IEEE/ACM international conference on Automated software engineering
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Proceedings of the IEEE/ACM international conference on Automated software engineering
Feature Assembly Framework: towards scalable and reusable feature models
Proceedings of the 5th Workshop on Variability Modeling of Software-Intensive Systems
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Proceedings of the 5th Workshop on Variability Modeling of Software-Intensive Systems
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Proceedings of the 5th Workshop on Variability Modeling of Software-Intensive Systems
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SLE'10 Proceedings of the Third international conference on Software language engineering
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UPP'04 Proceedings of the 2004 international conference on Unconventional Programming Paradigms
A systematic analysis of textual variability modeling languages
Proceedings of the 17th International Software Product Line Conference
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Software variability is a major driver in software development. In order to satisfy the increased variability requirements in today's software, several technical and non-technical variability mechanisms have been proposed. In this paper, we contribute with a language-specific perspective on how to manage variability. We explain our view on the concept of configuration languages, which are languages that offer structural and behavioral program configurations through specifically tailored expressions. We present seven design dimensions of configuration languages that determine how the variability model is defined and how a program's artifacts are represented and modified. To show the applicability of the design dimensions for explaining existing configuration languages, we analyze the Linux Kernel configuration language.