A Systematic Mapping Study of Search-Based Software Engineering for Enterprise Application Integration

Author:

Mazzonetto Angela1,Frantz Rafael Z.1,Roos-Frantz Fabricia1,Molina-Jimenez Carlos2,Sawicki Sandro1

Affiliation:

1. Department of Exact Sciences and Engineering, Unijuí University, Ijuí - RS - Brazil

2. Department of Computer Science and Technology, University of Cambridge, UK

Abstract

Search-Based Software Engineering (SBSE) is widely used in different fields of Software Engineering, notoriously, in Enterprise Application Integrations (EAIs). EAI encompasses methodologies, techniques and tools that a software engineer can use to create integration solutions. SBSE is currently an active research topic of increasing interest. The number and diversity of publications produced yearly are large to the extent that it is hard to identify the active research groups, their locations, techniques used and research topics that have not received enough attention. To answer these questions categorically, we have conducted systematic mapping study of the literature. In this paper, we report our methodology and findings. In our study, we used systematic search strategies that resulted in the retrieval of 560 articles, of which we first selected 25. Second, on the basis of the authors’ experience, we included eight additional articles. Finally, we used a snowballing sample technique to include another 12 articles. The results demonstrate that during the last two decades (1999–2020) EAI has benefited from the use of Search-Based Software Engineering techniques.

Funder

National Council for Scientific and Technological Development

Research Support Foundation of Rio Grande do Sul

Publisher

World Scientific Pub Co Pte Ltd

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Software

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