Working Paper Article Version 1 This version is not peer-reviewed

Software Quality Assurance Testing Methodologies in IoT

Version 1 : Received: 7 December 2019 / Approved: 9 December 2019 / Online: 9 December 2019 (07:39:47 CET)

How to cite: Sirshar, M.; Naeem, K.; Khan, M.; Akbar, T. Software Quality Assurance Testing Methodologies in IoT. Preprints 2019, 2019120118 Sirshar, M.; Naeem, K.; Khan, M.; Akbar, T. Software Quality Assurance Testing Methodologies in IoT. Preprints 2019, 2019120118

Abstract

IoT is a fast growing technology that has Promising potential for shaping our future. In this fast growing world of IoT, IoT systems are released without proper testing which effect its quality and does not guarantee user satisfaction. Different testing methodologies are carried out to ensure Quality assurance of IoT before releasing it to the market. In this paper we have reviewed different testing techniques using AI and different tools to ensure Quality of IoT. In this paper we have also reviewed different IoT challenges related to its quality.

Subject Areas

Internet of Things (IoT); Quality Assurance; Testing; Artificial Intelligence (AI)

Comments (1)

Comment 1
Received: 17 August 2020
Commenter: rihana sharma
The commenter has declared there is no conflict of interests.
Comment: The article is really helpful to improve knowledge about software testing and quality assurance, Thanks
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