A Structured Cloud-Based Software Testing Model with a Case Study Implementation

Abstract

Cloud-based testing methodologies were gaining significant popularity and adoption in the software testing industry. Cloud-based testing offers several advantages, such as scalability, flexibility, cost-effectiveness, and the ability to access a wide range of testing tools and environments without the need for extensive infrastructure setup. Cloud testing methods are having challenges with respect to testing priority, practical use cases, performance, lengthy test time, integrating and streamlining, data security, etc. since they are addressing specific purposes. To address these challenges, there is a need for a structured testing model with respect to the cloud environment. This article proposes a new structured cloud-based testing model for enhancing the testing service in the cloud environment. The proposed model addresses the order of testing and the priority, data security, and performance by using Smoke and Sanity testing methods.