Web Service Candidate Identification Using the Firefly Algorithm

Author:

Abbasi Negar1,Moeini Ali2,Gandomani Taghi Javdani3

Affiliation:

1. Department of Computer Engineering, University of Tehran, Kish International Campus, Kish Island, Iran

2. Department of Algorithms and Computation, Faculty of Engineering Science, University of Tehran, Iran

3. Department of Computer Engineering, Boroujen Branch, Islamic Azad University, Boroujen, Iran

Abstract

Identification of web service candidates in legacy software is a crucial process in the reengineering of legacy systems to service oriented architecture. Researchers have proposed various automatic and semi-automatic methods for this purpose, some of which have proved to be quite efficient, but there are still certain gaps which need to be addressed. This article discovers the strengths and weaknesses of previous methods and develops a method with improved service candidate identification performance. In this article, service identification is considered as a search and optimization problem and a firefly algorithm is developed accordingly to give high-quality solutions in reasonably short times. A filtering method is also developed to remove excess modules (false positives) from the algorithm outputs. A case study on a legacy flight reservation system demonstrates the high reliability of the outputs given by the proposed method.

Publisher

IGI Global

Subject

Computer Networks and Communications,Information Systems,Software

Reference16 articles.

1. A heuristic approach to locate candidate web service in legacy software

2. Locating Services in Legacy Software: Information Retrieval Techniques, Ontology and FCA Based Approach;M.Abdelkader;WSEAS Transactions on Computers,2012

3. Alizadeh, K., Seyedi, A. & Mohsenzadeh, M. (2013). An Organizational Ontology Based Method of Service Identification in Service Oriented Architecture [Master’s thesis]. Science and Research Branch of Islamic Azad University, Faculty of Computer Engineering.

4. Service Identification via Ontology Mapping;F.Chen;33rd Annual IEEE International Computer Software and Applications Conference,2009

5. An approach for mining services in database oriented applications

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