2019
DOI: 10.1504/ijwgs.2019.096555
|View full text |Cite
|
Sign up to set email alerts
|

SAW-Q: a dynamic composition approach of REST services based on queue model

Abstract: Service composition is one of the principles of service-oriented architecture; it enables reuse and allows developers to combine existing services in order to create new services that in turn can be part of another composition. Dynamic composition requires that service components are chosen from a set of services with equal or similar functionality at runtime and possibly automatically. The adoption of the REST services in the industry has led to a growing number of services of this type, many with similar fun… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2021
2021
2021
2021

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 21 publications
0
1
0
Order By: Relevance
“…In both ways, many authors have dealt with REST API composition approaches as described in (Asghari et al, 2018;Bellido et al, 2019;Ed-Douibi et al, 2018a;Ed-Douibi et al, 2017;Giessler et al, 2015;Neumann et al, 2018;Sangsanit et al, 2018). The findings in the papers are all at the conceptual levels that need an option to build a test system architecture especially for testing the Cloud, and a model-driven technical space to demonstrate test case specification with test implementation (see Table 2 and Figure 9).…”
Section: Rest-based Model-based Testing: Test Case Realization Processmentioning
confidence: 99%
“…In both ways, many authors have dealt with REST API composition approaches as described in (Asghari et al, 2018;Bellido et al, 2019;Ed-Douibi et al, 2018a;Ed-Douibi et al, 2017;Giessler et al, 2015;Neumann et al, 2018;Sangsanit et al, 2018). The findings in the papers are all at the conceptual levels that need an option to build a test system architecture especially for testing the Cloud, and a model-driven technical space to demonstrate test case specification with test implementation (see Table 2 and Figure 9).…”
Section: Rest-based Model-based Testing: Test Case Realization Processmentioning
confidence: 99%