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Authors: David C. Rine 1 and Anabel Fraga 2

Affiliations: 1 George Mason University, United States ; 2 Carlos III of Madrid University, Spain

Keyword(s): Requirements Inspections, Chunking and Cognition, Complexity Measurement, Complexity Metrics, Cohesion, Coupling, NP Chunk, Requirements, Software Quality, Information Retrieval, Natural Language Understanding and Processing

Abstract: In order to obtain a most effective return on a software project investment, then at least one requirements inspection shall be completed. This means that a software project requirements inspection shall never be omitted. This is because the requirements, especially those written in natural language, is the most important form of software knowledge.A formal requirements inspection identifies low quality knowledge representation content in the requirements document. The knowledge quality of requirements statements of requirements documents is one of the most important assets a project must inspect. An application of the metrics to improve requirements understandability and readability during requirements inspections can be built upon the metrics shown.

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Paper citation in several formats:
C. Rine, D. and Fraga, A. (2013). Requirements Quality Knowledge Representation using Chunking Complexity Measurement: Prior to Formal Inspections. In Proceedings of the 4th International Workshop on Software Knowledge (IC3K 2013) - SKY; ISBN 978-989-8565-76-1, SciTePress, pages 3-13. DOI: 10.5220/0004623000030013

@conference{sky13,
author={David {C. Rine}. and Anabel Fraga.},
title={Requirements Quality Knowledge Representation using Chunking Complexity Measurement: Prior to Formal Inspections},
booktitle={Proceedings of the 4th International Workshop on Software Knowledge (IC3K 2013) - SKY},
year={2013},
pages={3-13},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004623000030013},
isbn={978-989-8565-76-1},
}

TY - CONF

JO - Proceedings of the 4th International Workshop on Software Knowledge (IC3K 2013) - SKY
TI - Requirements Quality Knowledge Representation using Chunking Complexity Measurement: Prior to Formal Inspections
SN - 978-989-8565-76-1
AU - C. Rine, D.
AU - Fraga, A.
PY - 2013
SP - 3
EP - 13
DO - 10.5220/0004623000030013
PB - SciTePress