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Automated Test Script Generation from Natural Language Query
Deepamala.N1, Tushar Kanakagiri2, Shreyas Raghunath3, Sughosh Kaushik4, Dr.Shobha G5, Ankit Singh6, Deepak jha7

1Dr.Deepamala.N. Department of Computer Science and Engineering, R.V.College of Engineering, Bangalore, India.
2Tushar Kanakagiri. Department of Computer Science and Engineering, R.V.College of Engineering, Bangalore, India.
3Shreyas Raghunath. Department of Computer Science and Engineering, R.V.College of Engineering, Bangalore, India.
4Sughosh Kaushik. Department of Computer Science and Engineering, R.V.College of Engineering, Bangalore, India.
5Dr.Shobha G. Department of Computer Science and Engineering, R.V.College of Engineering, Bangalore, India.
6Ankit Singh Citrix Systems, Bangalore, India.
7Deepak jha Citrix Systems, Bangalore, India.

Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 12-16 | Volume-8 Issue-7, May 2019 | Retrieval Number: E3039038519/19©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: Development and Testing is a very important part of any product development cycle. There exist numerous modules that need to be tested in a product or software after each build. Addition, modification or deletion of new procedures requires thorough testing of the complete product. Test scripts are generated for the ease of testing. It is observed that most of the procedures in test scripts are repeated. Converting natural language query into test scripts reduces the effort of the test engineer by finding relevant procedures in already existing database. The proposed system accepts a natural language query and converts the query into an executable test code using various NLP techniques. This paper explains two methods that are used to generate test script from Natural language query.
Keyword: Natural Language query; Test Script generation; Intent Recognition.
Scope of the Article: Natural Language Processing.