Understanding approaches for web service composition and execution
COMPUTE '08 Proceedings of the 1st Bangalore Annual Compute Conference
Automated Service Composition with Adaptive Planning
ICSOC '08 Proceedings of the 6th International Conference on Service-Oriented Computing
Semantic Web Service Composition for Service-Oriented Architectures
CECANDEEE '08 Proceedings of the 2008 10th IEEE Conference on E-Commerce Technology and the Fifth IEEE Conference on Enterprise Computing, E-Commerce and E-Services
Fast and Scalable Semantic Web Service Composition Approach Considering Complex Pre/Postconditions
SERVICES '09 Proceedings of the 2009 Congress on Services - I
Agile Web Development with Rails, Third Edition
Agile Web Development with Rails, Third Edition
Automated composition of Web services via planning in asynchronous domains
Artificial Intelligence
HTN planning for Web Service composition using SHOP2
Web Semantics: Science, Services and Agents on the World Wide Web
A lower bound on web services composition
FOSSACS'07 Proceedings of the 10th international conference on Foundations of software science and computational structures
Automatic Web Service Composition with a Heuristic-Based Search Algorithm
ICWS '11 Proceedings of the 2011 IEEE International Conference on Web Services
Dynamic planning approach to automated web service composition
Applied Intelligence
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Software composition has been studied as a subject of state based planning for decades. Existing composition approaches that are efficient enough to be used in practice are limited to sequential arrangements of software components. This restriction dramatically reduces the number of composition problems that can be solved. However, there are many composition problems that could be solved by existing approaches if they had a possibility to combine components in very simple non-sequential ways. To this end, we present an approach that arranges not only basic components but also composite components. Composite components enhance the structure of the composition by conditional control flows. Through algorithms that are written by experts, composite components are automatically generated before the composition process starts. Therefore, our approach is not a substitute for existing composition algorithms but complements them with a preprocessing step. We verified the validity of our approach through implementation of the presented algorithms.