A model-driven approach to reengineering processes in cloud computing

The We design, implement, and evaluate a novel framework called . The core aim of MLSAC is to facilitate the sharing and tailoring of reengineering methods for migrating legacy applications to cloud platforms. MLSAC achieves this by using a collection of coherent and empirically tested cloud-specific method fragments from the literature and practice. A metamodel (or meta-method) together with corresponding instantiation guidelines is developed from this collection. The metamodel can also be used to create and maintain bespoke reengineering methods in a given scenario of reengineering to cloud platforms.MLSAC is underpinned by a metamodeling approach that acts as a representational layer to express reengineering methods. The design and evaluation of MLSAC are informed by the guidelines from the design science research approach.Our framework is an accessible guide of what legacy-to-cloud reengineering methods can look like. The efficacy of the framework is demonstrated by modeling real-world reengineering scenarios and obtaining user feedback. Our findings show that the framework provides a fully-fledged domain-specific, yet platform-independent, foundation for the semi-automated representing, maintaining, sharing, and tailoring reengineering methods. MLSAC contributes to the state of the art of cloud computing and model-driven software engineering literature through (a) providing a collection of mainstream method fragments for incorporate into various scenarios of reengineering processes and (b) enabling a basis for consistent creation, representation, and maintenance of reengineering methods and processes within the cloud computing community.