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Legacy to SOA Evolution: A Systematic Literature Review

Legacy to SOA Evolution: A Systematic Literature Review

Ravi Khadka, Amir Saeidi, Andrei Idu, Jurriaan Hage, Slinger Jansen
ISBN13: 9781466624887|ISBN10: 1466624884|EISBN13: 9781466624894
DOI: 10.4018/978-1-4666-2488-7.ch003
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MLA

Khadka, Ravi, et al. "Legacy to SOA Evolution: A Systematic Literature Review." Migrating Legacy Applications: Challenges in Service Oriented Architecture and Cloud Computing Environments, edited by Anca Daniela Ionita, et al., IGI Global, 2013, pp. 40-70. https://doi.org/10.4018/978-1-4666-2488-7.ch003

APA

Khadka, R., Saeidi, A., Idu, A., Hage, J., & Jansen, S. (2013). Legacy to SOA Evolution: A Systematic Literature Review. In A. Ionita, M. Litoiu, & G. Lewis (Eds.), Migrating Legacy Applications: Challenges in Service Oriented Architecture and Cloud Computing Environments (pp. 40-70). IGI Global. https://doi.org/10.4018/978-1-4666-2488-7.ch003

Chicago

Khadka, Ravi, et al. "Legacy to SOA Evolution: A Systematic Literature Review." In Migrating Legacy Applications: Challenges in Service Oriented Architecture and Cloud Computing Environments, edited by Anca Daniela Ionita, Marin Litoiu, and Grace Lewis, 40-70. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2488-7.ch003

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Abstract

In the last decade, there have been significant developments in legacy to SOA evolution, and that has resulted in a large research body of which there exists no comprehensive overview. This chapter provides a historic overview, focusing on the methods and techniques used in legacy to SOA evolution. The authors conducted a systematic literature review to collect legacy to SOA evolution approaches reported from 2000 to August 2011. To this end, 121 primary studies were found and evaluated using an evaluation framework, which was developed from three evolution and modernization methods widely used in the software re-engineering domain. The evaluation constitutes the inventory of current research approaches and methods and techniques used in legacy to SOA evolution. The result of the SLR also identifies current research issues in legacy to SOA evolution and provides future research directions to address those research issues.

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