goktugkose/scout: v1.0

SCOUT: Supporting User Story Completeness via Knowledge Graphs Requirements engineering practices are important for defining the different aspects of a software project to ensure it meets expectations. However, in a collaborative environment, generating requirements can be complex because multiple stakeholders need to represent different aspects of the project and have a common understanding of key concepts. User stories are a popular way of capturing requirements using natural language, but determining the completeness of a set of user stories is a challenging task. To address this issue, we propose SCOUT that uses a natural language processing pipeline to extract key concepts from user stories and build a knowledge graph by connecting related terms. The knowledge graph and several heuristics are then used to generate suggestions for stakeholders to increase the overall completeness of the user stories