Ambi Detect: An Ambiguous Software Requirements Specification Detection Tool

Software Requirements Specification (SRS) is considered a highly critical artifact in the software development. All phases development are influenced by this artifact. Defects requirements may higher risk of project overschedule that contributes to cost overrun project.Researchers have shown finding defects initial phase important becausethe bug cheaper if it fixed early. Hence, our main goal provide platform for requirement engineers produce better specifications. We propose AmbiDetect, (prototype) tool toautomatically classify ambiguous requirements. AmbiDetect combines text mining and machine learning specification detection. The technique used extract classification features as well generating training set.AmbiDetect usesa perform From an user study validate tool, result indicates accuracy detection reasonably acceptable.Although early experimental we optimist can be improve SRS quality.