JOURNAL ARTICLE

Metric-Based Framework for Testing & Evaluation of Service-Oriented System

Salisu, Salihu

Year: 2025 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

Abstract

The increase in the significance of service orientation in system development is accelerating with an increase in demand for qualitative and cost-effective systems. Service-Oriented Architecture (SOA) is one of the established structural designs used for developing and implementing flexible, reusable, rapid and low-cost service-oriented systems. The established testing and evaluation methods don’t work well for systems that are made-up of services (service-oriented system). As a result, several testing and evaluation metrics for service-oriented systems were proposed. However, these metrics were created based on preceding software development approaches that offer insufficient focus to service-oriented systems thereby lacking the efficiency to evaluate these systems. Furthermore, Lack of access to source code also frustrates classical mutation-testing approaches, which require seeding the code with errors. This paper discusses different testing and evaluation metrics available for SOS and proposed a theory-grounded framework for testing and evaluation of service-oriented systems with the aim of decreasing cost and increasing the quality of the SOS. Then, the proposed framework is validated theoretically to check its usability and applicability for testing and evaluation of SOS. The results show that the proposed framework is able to decrease cost and increasing the quality of the SOS

Keywords:
Usability Software quality assurance Development testing Quality (philosophy) Software quality Software system Integration testing Test strategy Software System testing

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Topics

Service-Oriented Architecture and Web Services
Physical Sciences →  Computer Science →  Information Systems
Advanced Software Engineering Methodologies
Physical Sciences →  Computer Science →  Artificial Intelligence
Software System Performance and Reliability
Physical Sciences →  Computer Science →  Computer Networks and Communications

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