A Genetic Algorithm Based Source Code Mining Approach for Language Migration

Abstract

The rapidly changing business environment of the day dictates the need for many software migration projects. Such migration projects bring with them certain benefits and challenges. Given the nature of such migration projects and their increasing importance, many principles have been proposed for such projects. This paper is an attempt to exploit the power of the advancements in the Computer Science discipline to improve the efficiency of migration projects. In particular, we address the problem of migration of source code from one language to another. The soundness of the proposed technique is validated by empirical results obtained by applying the technique to some projects.