A model-driven approach to reengineering processes in cloud computing
Article
Article Title | A model-driven approach to reengineering processes in cloud computing |
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ERA Journal ID | 17902 |
Article Category | Article |
Authors | Fahmideh, Mahdi (Author), Grundy, John (Author), Beydoun, Ghassan (Author), Zowghi, Didar (Author), Susilo, Willy (Author) and Mougouei, Davoud (Author) |
Journal Title | Information and Software Technology |
Journal Citation | 144 |
Article Number | 106795 |
Number of Pages | 18 |
Year | 2022 |
Place of Publication | Netherlands |
ISSN | 0950-5849 |
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. |
Keywords | Cloud computing; Legacy software applications; Method engineering; Model-driven software engineering; Modeling; Reengineering process |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 461207. 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 Affiliations | School of Business |
Monash University | |
University of Technology Sydney | |
University of Wollongong | |
School of Mathematics, Physics and Computing | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q732y/a-model-driven-approach-to-reengineering-processes-in-cloud-computing
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