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A Framework for Iterative, Interactive Analysis of Agent-Goal Models in Early Requirements Engineering
| Citations: | 3 - 2 self |
BibTeX
@MISC{Horkoff_aframework,
author = {Jennifer Horkoff and Eric Yu},
title = {A Framework for Iterative, Interactive Analysis of Agent-Goal Models in Early Requirements Engineering},
year = {}
}
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Abstract
Abstract. The early stage of domain analysis in requirements engineering is critical for understanding the stakeholders, their needs, problems, and how views of these problems differ. We advocate methods for early domain exploration which provoke iteration over captured knowledge, prompting analysts and stakeholders to review what is known, helping to guide elicitation, and facilitating early scoping and decision making. Specifically, we provide a framework to support interactive, iterative analysis over goal- and agentoriented (agent-goal) models. The framework will allow for multiple types of analysis questions, manage alternative evaluations over a model, manage interactive results, capture model assumptions and arguments, and support iteration over all constructs. Initial case study experience shows that interactive evaluation provokes model iteration and domain exploration. Further case studies will be developed to test the benefits of framework expansions. Keywords: Goal-and Agent-Oriented Models, Early RE, Model Analysis 1
Keyphrases
early requirement interactive analysis agent-goal model interactive evaluation provokes model iteration domain exploration manage alternative evaluation captured knowledge support iteration early domain exploration decision making goal-and agent-oriented model requirement engineering case study capture model assumption analysis question manage interactive result early stage domain analysis initial case study experience framework expansion model analysis early re multiple type iterative analysis early scoping
