TY - GEN
T1 - Automated Modeling of Web Service Composition and Testing
T2 - 22nd IEEE International Conference on Software Quality, Reliability and Security Companion, QRS-C 2022
AU - Huang, Yao
AU - Zhang, Bingqing
AU - Wang, Yichen
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The application of Service-Oriented Architecture (SOA) system software in safety-critical areas such as aerospace is gradually increasing, and the demand of high-quality SOA system software is increasing too. Due to the feature of loose coupling, SOA system software depends strongly on the correctness of the interfaces among services. Web service composition (WSC) testing in the integration phase of service composition thus becomes exceptionally critical. In a model-based testing framework., the test model lays a foundation for the subsequent test activities to proceed smoothly. In this paper, we propose an approach to automate modeling for WSC testing. The idea is to automate the construction of a highly visualized model by fetching adequate test information from two documents in the design phase. Compared to the existing modeling methods, the proposed method is more sufficient in WSC test information extraction. In addition, we also promote the degree of visualization and automation for test modeling. In the end, a case study is conducted to verify the effectiveness of the proposed modeling approach.
AB - The application of Service-Oriented Architecture (SOA) system software in safety-critical areas such as aerospace is gradually increasing, and the demand of high-quality SOA system software is increasing too. Due to the feature of loose coupling, SOA system software depends strongly on the correctness of the interfaces among services. Web service composition (WSC) testing in the integration phase of service composition thus becomes exceptionally critical. In a model-based testing framework., the test model lays a foundation for the subsequent test activities to proceed smoothly. In this paper, we propose an approach to automate modeling for WSC testing. The idea is to automate the construction of a highly visualized model by fetching adequate test information from two documents in the design phase. Compared to the existing modeling methods, the proposed method is more sufficient in WSC test information extraction. In addition, we also promote the degree of visualization and automation for test modeling. In the end, a case study is conducted to verify the effectiveness of the proposed modeling approach.
KW - BPEL
KW - test modeling
KW - UML sequence diagram
KW - Web service composition testing
UR - https://www.scopus.com/pages/publications/85152634609
U2 - 10.1109/QRS-C57518.2022.00037
DO - 10.1109/QRS-C57518.2022.00037
M3 - 会议稿件
AN - SCOPUS:85152634609
T3 - Proceedings - 2022 IEEE 22nd International Conference on Software Quality, Reliability and Security Companion, QRS-C 2022
SP - 193
EP - 200
BT - Proceedings - 2022 IEEE 22nd International Conference on Software Quality, Reliability and Security Companion, QRS-C 2022
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 5 December 2022 through 9 December 2022
ER -