Automatic Detection of Ambiguous Software Requirements: An Insight

Abstract

Requirements Engineering is one of the most important phases of the software development lifecycle. The success of the whole software project depends upon the quality of the requirements. But as we know that mostly the software requirements are stated and documented in the natural language. The requirements written in natural language can be ambiguous and inconsistent. These ambiguities and inconsistencies can lead to misinterpretations and wrong implementations in design and development phase. To address these issues a number of approaches, tools and techniques have been proposed for the automatic detection of natural language ambiguities form software requirement documents. However, to the best of our knowledge, there is very little work done to compare and analyze the differences between these tools and techniques. In this paper, we presented a state of art survey of the currently available tools and techniques for the automatic detection of natural language ambiguities from software requirements. We also focused on figuring out the popularity of different tools and techniques on the basis of citations. This research $\mathbf{will}$ help the practitioners and researchers to get the latest insights in the above-mentioned context.