RationalGRL: A framework for argumentation and goal modeling

Author:

van Zee Marc1,Bex Floris23,Ghanavati Sepideh4

Affiliation:

1. Brain Team, Google Research, The Netherlands. E-mail: marcvanzee@google.com

2. Department of Information and Computing Sciences, Utrecht University, The Netherlands

3. Department of Law, Technology, Markets and Society, Tilburg University, The Netherlands. E-mail: F.J.Bex@uu.nl

4. School of Computing and Information Science (SCIS), University of Maine, ME, USA. E-mail: sepideh.ghanavati@maine.edu

Abstract

Goal-oriented requirements modeling approaches aim to capture the intentions of the stakeholders involved in the development of an information system as goals and tasks. The process of constructing such goal models usually involves discussions between a requirements engineer and a group of stakeholders. Not all the arguments in such discussions can be captured as goals or tasks: e.g., the discussion whether to accept or reject a certain goal and the rationale for acceptance or rejection cannot be captured in goal models. In this paper, we apply techniques from computational argumentation to a goal modeling approach by using a coding analysis in which stakeholders discuss requirements for a Traffic Simulator. We combine a simplified version of a traditional goal model, the Goal-oriented Requirements Language (GRL), with ideas from argumentation on schemes for practical reasoning into a new framework (RationalGRL). RationalGRL provides a formal semantics and tool support to capture the discussions and outcomes of the argumentation process that leads to a goal model. We also define the RationalGRL development process to create a RationalGRL model.

Publisher

IOS Press

Subject

Artificial Intelligence,Computational Mathematics,Computer Science Applications,Linguistics and Language

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Patterns of Inquiry in a Community Forum for Legal Compliance with Privacy Law;2024 IEEE 32nd International Requirements Engineering Conference Workshops (REW);2024-06-24

2. Goal Model Extraction from User Stories Using Large Language Models;Communications in Computer and Information Science;2024

3. GRL goal analysis using zero-sum game theory;Intelligent Decision Technologies;2022-09-29

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