CLOUD-QM: a quality model for benchmarking cloud-based enterprise information systems


ŞENER U., GÖKALP AYDIN E., EREN P. E.

Software Quality Journal, 2024 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Publication Date: 2024
  • Doi Number: 10.1007/s11219-024-09669-1
  • Journal Name: Software Quality Journal
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, ABI/INFORM, Applied Science & Technology Source, Compendex, INSPEC
  • Keywords: Benchmarking, Cloud computing, Cloud-based enterprise information systems, Decision making, Quality model
  • Middle East Technical University Affiliated: Yes

Abstract

Organizations are increasingly migrating from on-premise enterprise information systems (EIS) to cloud products due to cloud computing benefits, such as flexibility, elasticity, and on-demand service. However, identifying the most suitable option becomes challenging with the proliferation of Cloud-EIS solutions in the market. To address this challenge, this study introduces a novel quality model named Cloud-QM, based on ISO/IEC 250nn standards. It diagnoses the quality of Cloud-EIS products, benchmarks available options, and identifies the most suitable choice for the organization. Cloud-QM comprises 10 main dimensions, 33 sub-dimensions, and corresponding metrics for a systematic quality assessment. Furthermore, the practical use of Cloud-QM is illustrated through a case study that evaluates two substitute Cloud-EIS products. The results from the case study highlight the effectiveness of Cloud-QM in enabling decision-makers to delve into the quality dimensions and facilitate the selection of the most suitable product for their organizations. The main contributions are as follows: (1) proposing a comprehensive and hierarchically structured quality model for Cloud-EIS products; (2) offering a quantifiable and standardized assessment approach through a set of metrics for quality evaluation; and (3) demonstrating applicability and usability of Cloud-QM by benchmarking Cloud-EIS products.