Title :
Analysis of WS-BPEL Processes in PRISM
Author :
Deng, Chen ; Yang, Hongli ; Liao, Husheng ; Sun, Meng ; Qiu, Zongyan
Author_Institution :
Coll. of Comput. Sci., Beijing Univ. of Technol., Beijing, China
Abstract :
WS-BPEL has emerged as the de facto industry standard for composing Web services. With the wide attention for WS-BPEL, Quality of Service (QoS) for it has become a key differentiator to judge the services with same functionalities. One main challenge currently is how to analyze the QoS of WS-BPEL services at the early design phase. This work aims at proposing a methodology for model-based analysis of WS-BPEL processes, with a focus on the assessment of non-functional quality attributes. Particularly, we define a small language BPELR to model the core features of WS-BPEL language, and annotate message receiving and service invoking activities with message-arrive rate and service-execute rate separately. Then a set of rules are proposed for translating BPELR into the input language of the probabilistic model checker PRISM, which can be used to stochastically analyze WS-BPEL processes. Finally, we show our approach by a purchase order business process example.
Keywords :
Web services; formal verification; language translation; message passing; purchasing; quality of service; simulation languages; stochastic processes; BPELR language translation; PRISM; QoS; WS-BPEL language; WS-BPEL process analysis; Web services; de facto industry standard; message-arrive rate; model-based analysis; nonfunctional quality attributes; probabilistic model checker; purchase order business process; quality of service; service invoking activities; service-execute rate; stochastic analysis; Analytical models; Business; Educational institutions; Quality of service; Reliability; Stochastic processes; Web services; PRISM; Probabilistic Model-Checking; QoS; WS-BPEL;
Conference_Titel :
Theoretical Aspects of Software Engineering (TASE), 2011 Fifth International Symposium on
Conference_Location :
Xi´an, Shaanxi
Print_ISBN :
978-1-4577-1487-0
DOI :
10.1109/TASE.2011.20