GQR Model to Support Requirements Elicitation for Content Rich Systems

Leah Goldin

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Paper

GQR Model to Support Requirements Elicitation for Content Rich Systems

In Proceedings of the 6th International Workshop on Software Knowledge - Volume 0IC3K, 42-48, 2015 , Lisbon, Portugal

Author: Leah Goldin

Affiliation: Afeka Tel-Aviv Academic College of Engineering, Israel

Keyword(s): Requirements Elicitation, Goal-Oriented Analysis, GQR Model, Content Rich Systems, GQM (Goal-Question-Metric), Biomedical, Requirements Management, CMMI.

Abstract: Requirements elicitation for content rich systems is a huge challenge. Even using known techniques, does not avoid diving into content details and get lost in hyperspace. We propose the GQR (Goal-Question-Result) model to support the Requirements Elicitation process in elevating the elicitation discussions from specific data elements to contextual structures of goal-question-result related content requirements, while scoping the discussion to specific stakeholders. This paper characterizes the GQR model, shows its advantages relative to the previous methods and illustrate its application by means of two case studies, one biomedical and another related to CMMI requirements processes.

CC BY-NC-ND 4.0

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Paper citation in several formats:

Goldin, L. (2015). GQR Model to Support Requirements Elicitation for Content Rich Systems. In Proceedings of the 6th International Workshop on Software Knowledge (IC3K 2015) - SKY; ISBN 978-989-758-162-5, SciTePress, pages 42-48. DOI: 10.5220/0005645600420048

@conference{sky15,
author={Leah Goldin.},
title={GQR Model to Support Requirements Elicitation for Content Rich Systems},
booktitle={Proceedings of the 6th International Workshop on Software Knowledge (IC3K 2015) - SKY},
year={2015},
pages={42-48},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005645600420048},
isbn={978-989-758-162-5},
}

TY - CONF

JO - Proceedings of the 6th International Workshop on Software Knowledge (IC3K 2015) - SKY
TI - GQR Model to Support Requirements Elicitation for Content Rich Systems
SN - 978-989-758-162-5
AU - Goldin, L.
PY - 2015
SP - 42
EP - 48
DO - 10.5220/0005645600420048
PB - SciTePress