As software becomes more complicated and large-scaled, user's demands become various and the expectation level about a software product becomes higher. Therefore, it is very important that a software engineer analyzes user's requirements precisely and applies them effectively in the development step. This paper proposes a requirement analysis supporting system that effectively reduces and revises errors of requirements analysis. The proposed system measures the similarity between requirements specifications or sentences. It extracts the sentences that contain ambiguous words. An indexing method for the similarity measurement combines a sliding window model and a parser model. This method can complement each model's weak points. Using these methods in information retrieval, the proposed system supports a function to trace dependency between documents, improve completeness in a document, reduce inconsistency between sentences, and improve document quality. This paper verifies the efficie...

As software becomes more complicated and larger, software engineer's requirements analysis become important and uneasy activity. This paper proposes a requirements analysis supporting system that supports informal requirements analysis. The proposed system measures the similarity between requirement sentences to identify possible redundancies and inconsistencies, and extracts the possible ambiguous requirements. The similarity measurement method combines a sliding window model and a parser model. Using these methods, the proposed system supports to trace dependency between documents and improve quality of requirement sentences. Efficiency of the proposed system and a process for requirement specification analysis using the system are presented. Key words Requirements engineering, natural language processing, software analysis, similarity measurements 1 Introduction Requirements analysis plays an increasingly important role in software development because most problems are caused by...