A Comprehensive Decomposition towards the Facets of Quality in IoT
Aneerban Chakraborty, Rakshana Bagavathi, Uma Tomer · 2020 International Conference on Smart Electronics and Communication (ICOSEC) · 2020
The pace at which technology is advancing is not healthy in terms of maintaining quality standards. The emerging technologies such as Machine Learning (ML), Internet of Things (IoT) and Artificial Intelligence (AI) have become buzz words in the industry. This fact has led to these being used extensively in the consumer and the industrial sector without proper testing and software quality governance. There is a need for a standardized quality check to maintain consistency and reliability among these recent technologies. Due to the differences between these new technologies and conventional software, the existing quality factors are unfit for judging the quality of AI or IoT. This paper is an attempt in decomposing the aspects of software quality and determining the features responsible for quality assurance in these technologies. A set of quality factors are proposed, which can be extrapolated from works that have been reviewed in this paper.