How to Generate and Import Functional Test Cases into a Project Management Software System using Natural Language Processing

Abstract

The main purpose of software testing is to identify what the software does and whether it matches its functional expectations. Applying a test plan allows one to prevent problems in early stages, identifying and addressing solutions before a project goes into production. Test cases play an important role during the software testing phase. A test case is a document with comprehensive details and sequences of actions to guide the software tester through the steps that need to be taken and the outputs that are expected.The proposed system generates test cases based on scraped data that are used to interact with Natural Language Processing (NLP) approaches to generate functional test cases. A project management software (e.g., JIRA) is integrated with the JIRA python library to manage the test cases by the software tester.