References of "Ghanavati, Sepideh"
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See detailArgumentation-based Methodology for Goal-oriented Requirements Language (GRL)
Ghanavati, Sepideh; Van Zee, Marc UL; Bex, Floris

in Proceedings of the 10th International i* Workshop co-located with the 29th International Conference on Advanced Information Systems Engineering (CAiSE 2017), Essen, Germany, June 12-13, 2017. (2017)

Goal-oriented Requirements Language (GRL) aims to capture goals and non-functional requirements of stakeholders and analyzing alternative solutions for realizing these goals. GRL also documents the ... [more ▼]

Goal-oriented Requirements Language (GRL) aims to capture goals and non-functional requirements of stakeholders and analyzing alternative solutions for realizing these goals. GRL also documents the rationale behind selecting certain goals or alternatives. However, it does not have any means to document and trace back all of the arguments that occur during the stakeholder’s discussion process. To address this, we have developed the RationalGRL framework. RationalGRL combines techniques for formal argumentation from artificial intelligence with goal modeling in GRL. However, we did not specify how practitioners can actually use this framework. In this paper we discuss the methodology for RationalGRL, which consists of two processes, goal modeling and argumentation, that can be done interchangeably. We motivate our approach with an example. [less ▲]

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See detailFormalizing and Modeling Enterprise Architecture (EA) Principles with Goal-oriented Requirements Language (GRL)
Marosin, Diana; Van Zee, Marc UL; Ghanavati, Sepideh

in Proceedings of the 28th International Conference on Advanced Information System Engineering (CAiSE16) (2016)

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See detailRationalGRL: A Framework for Rationalizing Goal Models Using Argument Diagrams
Van Zee, Marc UL; Bex, Floris; Ghanavati, Sepideh

in 35th International Conference on Conceptual Modeling (ER'2016) (2016)

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See detailThe RationalGRL toolset for Goal Models and Argument Diagrams
Van Zee, Marc UL; Marosin, Diana; Bex, Floris et al

in Proceedings of the 6th International Conference on Computational Models of Argument (COMMA'16) (2016)

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See detailRationalization of Goal Models in GRL using Formal Argumentation
Van Zee, Marc UL; Bex, Floris; Ghanavati, Sepideh

in In Proceedings of RE: Next! track at the Requirements Engineering Conference 2015 (RE'15) (2015)

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See detailClassifying and Extracting Elements of Norms for Ontology Population using Semantic Role Labelling
Humphreys, Llio UL; Boella, Guido; Robaldo, Livio UL et al

in The 15th International Conference on Artificial Intelligence & Law — San Diego, June 8-12, 2015 (2015)

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See detailCapturing Evidence and Rationales with Requirements Engineering and Argumentation-Based Techniques
Van Zee, Marc UL; Ghanavati, Sepideh

Scientific Conference (2014, September)

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See detailCompliance with Multiple Regulations
Ghanavati, Sepideh; Humphreys, Llio UL; Boella, Guido et al

in Conceptual Modeling, Lecture Notes in Computer Science 8824 (2014)

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See detailIntegrating Legal-URN and Eunomos: Towards a Comprehensive Compliance Management Solution
Boella, Guido; Tosatto, Silvano Colombo; Ghanavati, Sepideh et al

in AICOL (2013)

Business process compliance with regulations has been a topic of many research areas in Computer Science such as Requirements Engineering (RE), Artificial Intelligence (AI), Logic and Natural Language ... [more ▼]

Business process compliance with regulations has been a topic of many research areas in Computer Science such as Requirements Engineering (RE), Artificial Intelligence (AI), Logic and Natural Language Processing (NLP). This work aims to provide a systematic way of establishing and managing compliance to assist decision-making and reporting. Despite many notable advances, few systems deal adequately with legal interpretation and modeling norms in an expressive way that is well-integrated with business modeling practices. In this paper, we bring together two leading systems, Legal-URN and Eunomos, for a comprehensive compliance management solution. [less ▲]

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