A Review Of NLP Oriented Automated Test Case Generation Framework In Testing

Abstract

Natural language processing is a branch of computer science and artificial intelligence which is
concerned with interaction between computers and human languages. Software testing is an activity
to ensure a certain degree of quality in software systems. There are many tools available in the test
automation industries that are being used to automate test cases and workflows. Natural language
programming techniques are continuously getting researcher's attention to automate various software
development activities like test cases generation. This paper focuses a light on literature review of
how Natural Language Processing is used in generation of automated test case from functional
requirement documents or from manual test cases. and how it will improves accuracy and the
performance of the automation testing. NLP in software testing can also help to reduce the manual
efforts and time to write the test script.