DocumentCode :
1611520
Title :
SPL-TQSSS: A Software Product Line Approach for Stateful Service Selection
Author :
Gamez, Nadia ; El Haddad, Joyce ; Fuentes, Lidia
Author_Institution :
Dept. Leng. y Cienc. Comput., Univ. de Malaga, Malaga, Spain
fYear :
2015
Firstpage :
73
Lastpage :
80
Abstract :
An important problem in Web services composition process is optimal selection of services meeting the user functional requirements (tasks of a workflow) and ensuring a reliable execution of the composition. Therefore, non-functional properties of services such as their transactional behavior as well as their Quality of Service (QoS) must be considered. In this context, a challenging objective is to assist users in integrating on the fly the operations of services to realize their required tasks by further meeting their transactional and QoS preferences. Towards this purpose, we present SPLTQSSS, a Software Product Line based approach for Stateful (conversation-based) Service Selection problem with Transactional and QoS support. SPL-TQSSS considers the set of functionally-equivalent services as part of a service family by modeling their internal operations using Feature Models. Then, SPL-TQSSS chooses the best services, from the service families matching with every task of the workflow, which fit with the user transactional preference and satisfy QoS constraints.
Keywords :
Web services; quality of service; software development management; QoS constraints; QoS preferences; SPL-TQSSS; Web services composition process; feature models; functionally-equivalent services; optimal services selection; quality of service; software product line approach; stateful service selection problem; user functional requirements; Biological system modeling; Frequency modulation; Logic gates; Quality of service; Reliability; Software product lines; Time factors; Feature Model; QoS; Service Selection; Software Product Line; Transactional; Variability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Services (ICWS), 2015 IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
978-1-4673-7271-8
Type :
conf
DOI :
10.1109/ICWS.2015.20
Filename :
7195554
Link To Document :
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