Similarity Software Requirement Specification (SRS) Elicitation Based on the Requirement Statement Using Text Mining on the MNC Play Inventory Management Application

Abstract

In the software development stage, there are needs analysis activities carried out through elicitation activities, which will produce requirements specification documents. In this document, there is a discrepancy in the perception of elicitation results between developers and clients regarding software requirements based on two methods, namely: elicitation and the Requirement Statement. There are specific steps to achieve this goal, namely: determining the similarity between the software requirements specifications and the elicitation results, analyzing the text contained in the elicitation results using the text mining method, and testing the validity and reliability of the research results through the use of Gwet's AC1 formula. The results obtained are the document with the highest similarity value is the 6th document, namely "The manager can approve items that the supervisor has approved," and the 8th document, namely "Admin can approve items that supervisors and managers have approved." The resulting similarity figure is 0.927587, which means that the similarity level is very high from the number, which is close to number 1.