Redundancy Detection Of Sentence Pairs In The Software Requirements Specification Documents With Semantic Approach

• Published in: IOP conference series. Materials Science and Engineering 2020-07, Vol.879 (1), p.12078
• Main Authors: Oktaviyani, E D, Licantik
• Format: Article
• Language: English
• Subjects: Redundancy; Requirements specifications; Semantics; Sentences; Software development
• ISSN: 1757-8981; 1757-899X
• DOI: 10.1088/1757-899X/879/1/012078

Software requirements specification document must complete, unambiguous and must correct because can lead to failure in software development. It must contain sentences not redundant. Meyer's seven sins explain some errors in software requirements specification document, one of which is a Noise. Variant of the noise is redundancy. Redundancy is repeating the same information, but using different terms or phrases, thus giving the impression that new information. This research to analyze performance redundancy detection in sentences pair on software requirement specification documents using WordNet based semantic similarity methods. This study tries to develop a framework that has been proposed in previous studies in different framework that is to detected redundancy in sentences without fact extraction. The proposed approach and evaluation process uses Kappa values to determine whether reliable framework that can be used to detect redundancy in sentence pairs by using experiments in two scenarios to get good results. Our experimental result show the performance of proposed framework can used to help reduce redundancy when creating software requirements specification documents and may contributes to enhance the quality of document. Shown with good kappa values and interpretation of the Kappa value is substantial agreement. It means many agreements between experts and framework.