A model-driven approach to reengineering processes in cloud computing

Article


Fahmideh, Mahdi, Grundy, John, Beydoun, Ghassan, Zowghi, Didar, Susilo, Willy and Mougouei, Davoud. 2022. "A model-driven approach to reengineering processes in cloud computing." Information and Software Technology. 144. https://doi.org/10.1016/j.infsof.2021.106795
Article Title

A model-driven approach to reengineering processes in cloud computing

ERA Journal ID17902
Article CategoryArticle
AuthorsFahmideh, Mahdi (Author), Grundy, John (Author), Beydoun, Ghassan (Author), Zowghi, Didar (Author), Susilo, Willy (Author) and Mougouei, Davoud (Author)
Journal TitleInformation and Software Technology
Journal Citation144
Article Number106795
Number of Pages18
Year2022
Place of PublicationNetherlands
ISSN0950-5849
1873-6025
Digital Object Identifier (DOI)https://doi.org/10.1016/j.infsof.2021.106795
Web Address (URL)https://www.sciencedirect.com/science/article/pii/S0950584921002342
Abstract

Context: The reengineering process of large data-intensive legacy software applications ('legacy applications' for brevity) to cloud platforms involves different interrelated activities. These activities are related to planning, architecture design, re-hosting/lift-shift, code refactoring, and other related ones. In this regard, the cloud computing literature has seen the emergence of different methods with a disparate point of view of the same underlying legacy application reengineering process to cloud platforms. As such, the effective interoperability and tailoring of these methods become problematic due to the lack of integrated and consistent standard models.

Objective: We design, implement, and evaluate a novel framework called MLSAC (Migration of Legacy Software Applications to the Cloud). 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.

Approach: 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.

Results: 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.

KeywordsCloud computing; Legacy software applications; Method engineering; Model-driven software engineering; Modeling; Reengineering process
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020461207. Software quality, processes and metrics
Public Notes

The accessible file is the accepted version of the paper. Please refer to the URL for the published version.

Byline AffiliationsSchool of Business
Monash University
University of Technology Sydney
University of Wollongong
School of Mathematics, Physics and Computing
Institution of OriginUniversity of Southern Queensland
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