Are These Requirements Risky: A Proposal of an IoT-Based Requirements Risk Estimation Framework

Chetna Gupta and Varun Gupta
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Chetna Gupta: Department of Computer Science and Engineering, Jaypee Institute of Information Technology, Noida 201305, India
Varun Gupta: Department of Economics and Business Administration, University of Alcala, 28802 Madrid, Spain

Mathematics, 2022, vol. 10, issue 8, 1-13

Abstract: Internet of Things (IoT) systems are revolutionizing traditional living to a new digital living style. In the past, a lot of investigations have been carried out to improve the technological challenges and issues of IoT and have focused on achieving the full potential of IoT. The foremost requisite for IoT software system developers seeking a competitive edge is to include project-specific features and meet customer expectations effectively and accurately. Any failures during the Requirements Engineering (RE) phase can result in direct or indirect consequences for each succeeding phase of development. The challenge is far more immense because of the lack of approaches for IoT-based RE. The objective of this paper is to propose a requirements risk management model for IoT systems. The method regarding the proposed model estimates requirements risk by considering both customers’ and developers’ perceptions. It uses multiple criteria using intuitionistic fuzzy logic and analytical technique. This will help to handle the uncertainty and vagueness of human perception, providing a well-defined two-dimensional indication of customer value and risk. The validity of the approach is tested on real project data and is supported with a user study. To the best of our understanding, literature lacks the trade-off analysis at the RE level in IoT systems and this presented work fills this prerequisite in a novel way by improving (i) requirements risk assessment for IoT systems and (ii) handling developers’ subjective judgments of multiple conflicting criteria, yielding more concrete and more observable results.

Keywords: Internet of Things; intuitionistic fuzzy logic; software engineering; requirements engineering; risk estimation (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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