Software product-line engineering: a family-based software development process
Software product-line engineering: a family-based software development process
UNICORE: uniform access to supercomputing as an element of electronic commerce
Future Generation Computer Systems - Special issue on metacomputing
IEEE Internet Computing
Computer
Feature interaction: a critical review and considered forecast
Computer Networks: The International Journal of Computer and Telecommunications Networking
Modeling Web Services Variability with Feature Diagrams
Revised Papers from the NODe 2002 Web and Database-Related Workshops on Web, Web-Services, and Database Systems
Quality driven web services composition
WWW '03 Proceedings of the 12th international conference on World Wide Web
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
A Model-driven WSDL Extension for Describing the QoS ofWeb Services
ICWS '06 Proceedings of the IEEE International Conference on Web Services
Research challenges in the tension between features and services
Proceedings of the 2nd international workshop on Systems development in SOA environments
FeatureIDE: A tool framework for feature-oriented software development
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
Managing variability in workflow with feature model composition operators
SC'10 Proceedings of the 9th international conference on Software composition
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Grid computing and Feature-oriented Development Software are emerging technologies, which can be combined to analyze, model, and specify Grid services. In a Grid environment, there are a large number of similar resources provided by different parties, that may provide the same functionality, but different Quality of Service (QoS) measures. A feature-based approach is presented to optimize the development of Grid services and Grid service composition. WSDL specification is extended to contain useful description of both functional and non-functional characteristics by mean Design by Contract technique. In this way, Grid users can specify their QoS expectations and select suitable resources and use them for their Grid workflow at design time before its execution on the Grid.