Software product lines: practices and patterns
Software product lines: practices and patterns
Software Product Line Engineering: Foundations, Principles and Techniques
Software Product Line Engineering: Foundations, Principles and Techniques
Managing the Complexity of Large Free and Open Source Package-Based Software Distributions
ASE '06 Proceedings of the 21st IEEE/ACM International Conference on Automated Software Engineering
Future Generation Computer Systems
S.P.L.O.T.: software product lines online tools
Proceedings of the 24th ACM SIGPLAN conference companion on Object oriented programming systems languages and applications
Variability modeling in the real: a perspective from the operating systems domain
Proceedings of the IEEE/ACM international conference on Automated software engineering
Feature diagrams as package dependencies
SPLC'10 Proceedings of the 14th international conference on Software product lines: going beyond
A domain-specific language for managing feature models
Proceedings of the 2011 ACM Symposium on Applied Computing
Reverse engineering feature models
Proceedings of the 33rd International Conference on Software Engineering
Scalable Prediction of Non-functional Properties in Software Product Lines
SPLC '11 Proceedings of the 2011 15th International Software Product Line Conference
An empirical analysis of similarity in virtual machine images
Proceedings of the Middleware 2011 Industry Track Workshop
SLE'09 Proceedings of the Second international conference on Software Language Engineering
Live deduplication storage of virtual machine images in an open-source cloud
Middleware'11 Proceedings of the 12th ACM/IFIP/USENIX international conference on Middleware
Towards multi-cloud configurations using feature models and ontologies
Proceedings of the 2013 international workshop on Multi-cloud applications and federated clouds
Cardinality-based feature models with constraints: a pragmatic approach
Proceedings of the 17th International Software Product Line Conference
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Cloud computing is a major trend in distributed computing environments. Software virtualization technologies allow cloud Infrastructure-as-a-Service (IaaS) providers to instantiate and run a large number of virtual appliances. However, one of the major challenges is to reduce the disk space footprint of such virtual appliances to improve their storage and transfer across cloud servers. In this paper, we propose to use a Software Product Line (SPL) approach and describe the virtual appliance as a set of common and variable elements modeled by means of Feature Model (FM). We describe a solution to reverse engineer a FM from a virtual appliance and we show how we take advantage of the SPL configuration mechanisms to significantly reduce the size of a virtual appliance.