The reviewed record of science sign in
Pith

arxiv: 2004.10724 · v1 · pith:PUGEPHZQ · submitted 2020-04-17 · cs.SE

Challenges in migrating legacy software systems to the cloud an empirical study

Reviewed by Pithpith:PUGEPHZQopen to challenge →

classification cs.SE
keywords cloudmigrationlegacyprocesssystemsactivitieschallengescomputing
0
0 comments X
read the original abstract

Moving existing legacy systems to cloud platforms is a difficult and high cost process that may involve technical and non-technical resources and challenges. There is evidence that the lack of understanding and preparedness of cloud computing migration underpin many migration failures in achieving organisations goals. The main goal of this article is to identify the most important challenging activities for moving legacy systems to cloud platforms from a perspective of reengineering process. Through a combination of a bottom-up and a top-down analysis, a set of common activities is derived from the extant cloud computing literature. These are expressed as a model and are validated using a population of 104 shortlisted and randomly selected domain experts from different industry sectors. We used a Web-based survey questionnaire to collect data and analysed them using SPSS Sample T-Test. The results of this study highlight the most important and critical challenges that should be addressed by various roles within a legacy to cloud migration endeavour. The study provides an overall understanding of this process including common occurring activities, concerns and recommendations. In addition, the findings of this study constitute a practical guide to conduct this transition. This guide is platform agnostic and independent from any specific migration scenario, cloud platform, or an application domain. Keywords. Cloud Computing, Legacy Systems, Cloud Migration, Cloud Migration Process

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. TransAgent: Enhancing LLM-Based Code Translation via Fine-Grained Execution Alignment

    cs.SE 2024-09 unverdicted novelty 5.0

    TransAgent improves LLM code translation by up to 33.3% via multi-agent fine-grained execution alignment on a new benchmark of recent tasks.