Software Testing Techniques with Artificial Intelligence in IoT Applications
V. Sathyavathy1, D. Shanmuga Priyaa2
1V. Sathyavathy, Ph.D Research Scholar, Karpagam Academy of Higher Education, India.
2Dr. D. Shanmuga Priyaa, Professor, Department of Information Technology, Karpagam Academy of Higher Education, India.
Manuscript received on 15 December 2018 | Revised Manuscript received on 27 December 2018 | Manuscript Published on 24 January 2019 | PP: 291-293 | Volume-7 Issue-4S2 December 2018 | Retrieval Number: Es2068017519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The main goal and objective of Internet of things are control, management and co-ordination of various fields in a comfortable, effective and secure way. Another important emerging technology is Artificial Intelligence for developing automatic systems that learn from environment, can perceive the environment and make decision making using test case based reasoning. In various domains or areas of knowledge-based, vision ability, learning capability, decision making capability and analytical reasoning, the Artificial Intelligence (AI) provides a better solution for almost all automatic systems. Ihis paper discusses software testing types for home automation systems and how these system can utilize the Artificial Intelligence techniques for test case generation so as to increase its effectiveness, powerfulness etc.
Keywords: IoT, Testing Techniques, Test Case, Artificial Intelligence.
Scope of the Article: IoT