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Mutation-Based Harmony Search Algorithm for Hybrid Testing of Web Service Composition
Eckwijai Maythaisong1, Wararat Songpan1
1Department of Computer Science, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand.
Computational Intelligence and Neuroscience
|December 6, 2018
Summary
This study introduces hybrid testing for web service composition, combining functional and nonfunctional approaches. The mutation-based harmony search (MBHS) algorithm efficiently selects and composes services, minimizing defects for better business alignment.
Area of Science:
- Software Engineering
- Web Services
- Artificial Intelligence
Background:
- Web service composition aims to create new services from existing ones based on business needs.
- Current providers often prioritize nonfunctional attributes (time, cost, availability) over user needs, facing limitations.
- Effective service composition requires alignment with business plans and reliable operational outcomes.
Purpose of the Study:
- To introduce a hybrid testing approach combining functional and nonfunctional testing for web service composition.
- To propose the mutation-based harmony search (MBHS) algorithm for optimal web service selection and composition.
- To address limitations in current web service offerings and improve defect detection in composition.
Main Methods:
- Hybrid testing integrating functional and nonfunctional testing strategies.
- Equivalence class partitioning for designing functional test cases.
- Mutation-based harmony search (MBHS) algorithm for service selection and composition.
Main Results:
- The proposed hybrid testing effectively identifies defects and solutions for service composition.
- MBHS demonstrates superior efficiency in combining diverse services compared to other metaheuristic methods.
- The study validates the effectiveness of MBHS in aligning service composition with business requirements.
Conclusions:
- Hybrid testing provides a robust framework for evaluating web service composition.
- MBHS is an effective metaheuristic for selecting and composing web services with minimal defects.
- The approach enhances the reliability and business relevance of composed web services.
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