Automatic Quality Assessment of SRS Text by Means of a Decision-Tree-Based Text Classifier

@inproceedings{Hussain2007AutomaticQA,
  title={Automatic Quality Assessment of SRS Text by Means of a Decision-Tree-Based Text Classifier},
  author={Ishrar Hussain and Olga Ormandjieva and Leila Kosseim},
  year={2007}
}
The success of a software project is largely dependent upon the quality of the Software Requirements Specification (SRS) document, which serves as a medium to communicate user requirements to the technical personnel responsible for developing the software. This paper addresses the problem of providing automated assistance for assessing the quality of textual requirements from an innovative point of view, namely through the use of a decision- tree-based text classifier, equipped with Natural… CONTINUE READING

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Quality assessment method for software development process document based on software document characteristics metric

  • Ninth International Conference on Digital Information Management (ICDIM 2014)
  • 2014
VIEW 4 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

Analysing Quality of Textual Requirements Using Natural Language Processing: A Literature Review

  • 2018 23rd International Conference on Methods & Models in Automation & Robotics (MMAR)
  • 2018
VIEW 1 EXCERPT
CITES BACKGROUND

Quality Assessment Method for Software Requirements Specifications Based on Document Characteristics and Its Structure

  • 2015 Second International Conference on Trustworthy Systems and Their Applications
  • 2015
VIEW 1 EXCERPT
CITES BACKGROUND

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