Agile model-driven re-engineering

Author:

Lano Kevin,Haughton Howard,Yuan Ziwen,Alfraihi Hessa

Abstract

AbstractIn this paper we describe an Agile model-driven engineering (MDE) approach, AMDRE, for the re-engineering of legacy systems. The objective is to support the reuse of business-critical functionality from such systems and the porting of legacy code to modernised platforms, together with technical debt reduction to improve the system maintainability and extend its useful life. AMDRE uses a lightweight MDE process which involves the automated abstraction of software systems to UML specifications and the interactive application of refactoring and rearchitecting transformations to remove quality flaws and architectural flaws. We demonstrate the approach on Visual Basic, COBOL and Python legacy codes, including a finance industry case. Significant quality improvements are achieved, and translation accuracy over 80% is demonstrated. In comparison to other MDE re-engineering approaches, AMDRE does not require high MDE skills and should be usable by mainstream software practitioners.

Publisher

Springer Science and Business Media LLC

Reference72 articles.

1. Ahmad W, Tushar M, Chakraborty S, Chang K-W (2023) AVATAR: a parallel corpus for Java-Python program translation, arXiv:2108.11590v2

2. Agarwal M, Talamadupula K, Martinez F, Houde S, Muller M, Richards J, Ross S, Weisz J (2021) Using document similarity methods to create parallel datasets for code translation, arXiv:2110.05423v1

3. Alfraihi H, Lano K (2017) The integration of agile development and MDE: a systematic literature review, Modelsward

4. Beck K et al (2001) Manifesto for Agile Software Development, agilemanifesto.org

5. Behutiye W, Rodriquez P, Oivo M, Tosun A (2017) Analysing the concept of technical debt in the context of agile software development. IST 82:139–158

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