GQR Model to Support Requirements Elicitation for Content Rich Systems

Leah Goldin

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.

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Paper Citation


in Harvard Style

Goldin L. (2015). GQR Model to Support Requirements Elicitation for Content Rich Systems . In Proceedings of the 6th International Workshop on Software Knowledge - Volume 1: SKY, (IC3K 2015) ISBN 978-989-758-162-5, pages 42-48. DOI: 10.5220/0005645600420048


in Bibtex Style

@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 - Volume 1: SKY, (IC3K 2015)},
year={2015},
pages={42-48},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005645600420048},
isbn={978-989-758-162-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Workshop on Software Knowledge - Volume 1: SKY, (IC3K 2015)
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