ANALYSIS OF SOFTWARE QUALITY METRICS FOR CLOUD COMPUTING SYSTEMS

Abstract

In recent years, several suggestions have been made on how to quantify the quality of cloud services. However, there is still no clear guideline for stakeholders on which criteria to use. This work systematically maps cloud computing quality-of-service (QoS) and associated software quality measures to unify the field, provide a taxonomy, and establish practitioner-focused selection criteria. We started by looking through the literature to find possible variables and measurements. We then conducted a two-phase industry survey with senior cloud professionals: Survey-1 collected answers from 30 enterprises to see how useful and relevant the elements were for creating Criteria for using software quality metrics in cloud systems. A second study asked 26 businesses to rank these characteristics based on their requirements and judge how well an alternative metrics approach that uses the Criteria works. Lastly, we tested the Criteria with 23 firms that had previously put metrics in place for cloud-based software development. We got input using a questionnaire and a follow-up email to check for clarity, completeness, and perceived usefulness. The paper provides (i) a structured taxonomy of cloud service quality metrics, (ii) a practitioner-prioritized set of adoption criteria, and (iii) an examined alternative metrics model aimed at facilitating consistent, evidence-based selection of cloud service quality measures in practice.