An Automated System for Measuring Similarity between Software Requirements
Fatma A. Mihany, Hanan Moussa, Amr A. Kamel, Ehab Ezzat, Muhammad Ilyas · 2016
Recently, usage of text similarity has increased rapidly to be involved in different areas such as document clustering, information retrieval, short answer grading, text summarization, machine learning and natural language processing. Lexical-based similarity and semantic-based similarity are the two main categories of text similarity. Reusability of software components increases productivity and quality. In this paper, we propose that there is some linkage between text similarity and software reusability. In an organization, whenever a new incoming project is received, similarity test can be done to identify some similar projects and therefore some components to be reused such as design, code and test cases instead of starting building software from scratch. In this paper, we present an interactive system to measure the lexical similarity between a new incoming project and a set of completed projects exist in the repository and therefore identify some components to be reused.