Robust Software Testing for Distributed Systems Using Cloud Infrastructure, Automated Fault Injection, and XML Scenarios

Abstract

Large datasets and complicated computations are becoming more dependent on distributed systems, but software testing is severely constrained by these systems' intrinsic complexity. These problems are not successfully addressed by traditional methods, which are frequently manual and hardware-constrained. This assessment examines innovative testing techniques using cloud computing, automatic fault injection, and XML-based scenario descriptions. Isolated and regulated test environments are made possible by cloud infrastructure, which offers scalable, on-demand resources. As a way to assess system resilience in challenging circumstances, automated fault injection proactively introduces defects. Consistency and reproducibility are ensured by standardizing and streamlining test case descriptions with XML scenarios. Through the integration of these cutting-edge technologies, a comprehensive framework is put forth, designed to improve distributed system testing's efficiency, robustness, and dependability.