Detection of Ambiguous Patterns Using SVMs: Application to Handwritten Numeral Recognition

Seijas, Leticia M.; Segura, Enrique Carlos

doi:10.1007/978-3-642-03767-2_102

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Decision-tree Text Classification Technique1

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“…This process continues until all training examples are accounted by a decision tree (Pedersen, 2001). One of the studies (19) suggested that they applied Test-Based Risk Identification Methodology (TBRIM), which is based on decision assistance for the requirements assessment. TBRIM can be used in both manual and automatic requirements assessment tool.…”

Section: Decision-tree Text Classification Techniquementioning

confidence: 99%

An Analysis of Ambiguity Detection Techniques for Software Requirements Specification (SRS)

Oo¹,

Nordin²,

Ismail³

et al. 2018

IJET

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Ambiguity is the major problem in Software Requirements Specification (SRS) documents because most of the SRS documents are written in natural language and natural language is generally ambiguous. There are various types of techniques that have been used to detect ambiguity in SRS documents. Based on an analysis of the existing work, the ambiguity detection techniques can be categorized into three approaches: (1) manual approach, (2) semi-automatic approach using natural language processing, (3) semi-automatic approach using machine learning. Among them, one of the semi-automatic approaches that uses the Naïve Bayes (NB) text classification technique obtained high accuracy and performed effectively in detecting ambiguities in SRS.

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Section: Decision-tree Text Classification Techniquementioning

confidence: 99%