Download PDFOpen PDF in browserSoftware Quality Assurance in the Era of IoT and Connected DevicesEasyChair Preprint 113649 pages•Date: November 21, 2023AbstractThe proliferation of the Internet of Things (IoT) and interconnected devices has transformed the technological landscape, introducing unprecedented challenges in ensuring software quality. This paper explores the evolving strategies, methodologies, and approaches in Software Quality Assurance (SQA) tailored specifically for IoT and connected devices. The unique characteristics of IoT ecosystems, such as heterogeneity, scalability, and interoperability, demand a redefined framework for SQA. This study delves into the complexities involved in testing interconnected systems, including device diversity, data security, and real-time responsiveness. It examines the integration of traditional SQA practices with emerging technologies like machine learning, AI-driven testing, and continuous testing methodologies to address the distinct challenges posed by IoT environments. Furthermore, the paper evaluates the significance of standards, protocols, and compliance requirements governing IoT devices and their impact on SQA practices. It discusses the role of simulation and emulation techniques in creating realistic testing environments and reducing time-to-market while ensuring robustness and reliability. Case studies and industry best practices are examined to illustrate the successful implementation of SQA methodologies in IoT ecosystems. Additionally, the paper highlights the crucial role of collaboration between developers, testers, and stakeholders throughout the software development lifecycle to enhance quality and mitigate risks in IoT-driven applications. It emphasizes the need for adaptive, innovative approaches in testing methodologies to ensure the reliability, security, and performance of software in the ever-expanding network of interconnected devices. Keyphrases: DevOps Testing, Software Quality Assurance, defect detection
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