Sustainable Test Path Generation for Chatbots using Customized Response
Mani Padmanabhan
Dr. Mani Padmanabhan, Faculty of Computer Applications, SSL, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 10, 2019. | Manuscript published on August 30, 2019. | PP: 149-155 | Volume-8 Issue-6, August 2019. | Retrieval Number: D6515048419/2019©BEIESP | DOI: 10.35940/ijeat.D6515.088619
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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: In the current researching and Industrial fields have focused on much-attracted technology is chatbots. Informal agents could provide an appropriate and economic environment in online between the users and service provider. Due to a large number of datasets based on the digital tools, the user’s queries based satisfying responses providing are critical in the service oriented chatbots. The successful human-chatbots interaction must be apparent and reacted by the user. This paper presents a technique to generate the test path for effective chatbot software testing. Identification of relations among the chatbots, transformations, and boundaries of the existing methodology are described. This experimental results associated with four peak chatbot response methodologies along with technology specifications. An in-depth experimental of proposed chatbot test path generation methodology, provides the experimental results and comparison.
Keywords: Software Engineering, Software Testing, Chatbots, Advances in Natural Language, Deep learning..