A New Test Case Generation for Web Service Choreography Testing by Using Metaheuristic Algorithm

被引：1
|
作者：
Nahak, Sunil Kumar [1 ]
Mohapatra, Durga Prasad [2 ]
Patra, Manas Ranjan [3 ]
机构：
[1] RIT, Dept Master Comp Applicat, Berhampur 761008, Odisha, India
[2] Natl Inst Technol, Dept Comp Sci & Engn, Rourkela 769008, Odisha, India
[3] Berhampur Univ, Dept Comp Sci, Berhampur 760007, Odisha, India
来源：
SOFT COMPUTING IN DATA ANALYTICS, SCDA 2018 | 2019年 / 758卷
关键词：
Web service composition; BPEL process; Test case generation; Ant colony optimization;
D O I：
10.1007/978-981-13-0514-6_77
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A gathering of Web services is known as the Web service composition. The collaboration between the taking part Web services influences the testing of the Web to benefit composition essentially confounded. In this paper, we introduce an approach of test case generation for business process execution language (BPEL)-based Web service choreography testing. The proposed approach depends on the metaheuristic algorithm ant colony optimization (ACO) which is enlivened by the conduct of ants. We look at whether our proposed approach exceeds existing approaches of test optimization in terms of time, number of test cases, and the level of coverage.
引用
收藏
页码：817 / 824
页数：8
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