Comparative studies of several methods for building simple traceability and identifying the quality aspects of requirements in SRS documents

In the software development process, the requirements traceability in the Software Requirements Specification (SRS) is an important aspect to trace fulfillment of requirement. Generally, the implementation of traceability is done manually, and it requires considerable time and money. Many methods have been proposed to identify traceability automatically, therefore, we conducted a comparative study of several existing methods to find out which method is better. In this study, we made a comparison of 4 methods, namely the Information Retrieval (IR), Ontology, Combination of Information Retrieval with Topic Modeling (LSA or LDA) methods. From the comparison of those methods, we found that the IR method gets the highest accuracy score, but the precision, recall and fl-score are unequal between dataset 1 and dataset 2, while other methods (ontology, IR+LSA, IR+LDA) have more stable metrics. The average score of precision from highest to lowest consecutively is in the IR + LDA method, Ontology, then IR+LSA.