A comprehensive investigation of natural language processing techniques and tools to generate automated test cases

Abstract

Natural Language Processing (NLP) techniques show promising results to organize and identify desired information from the bulky raw data. As a result, NLP techniques are continuously getting researcher's attention to automate various software development activities like test cases generation. However, selection of right NLP techniques and tools to generate automated test cases is always challenging. Therefore, in this paper, we investigate the application of NLP techniques to generate test cases from preliminary requirements document. A Systematic Literature Review (SLR) has been conducted to identify 16 research works published during 2005-2014. Consequently, 6 NLP techniques and 18 tools have been identified. Furthermore, 4 test case generation approaches and 9 NLP algorithms have also been presented. The identified NLP techniques and tools are highly beneficial for the researchers and practitioners of the domain.