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Computer Science

D-Index
41
Citations
7035
World Ranking
8848
National Ranking
351

Overview

Daniel Amyot is affiliated with the University of Ottawa in Canada and has contributed extensively to the field of computer science, with a particular focus on information systems, artificial intelligence, and management information systems. Their research spans various subfields related to software engineering and data-centric systems.

Their publications cover a range of topics, including business process modeling and analysis, advanced software engineering methodologies, blockchain technology applications and security, multi-agent systems and negotiation, big data and business intelligence, artificial intelligence in law, and service-oriented architecture and web services.

Some of the recent papers authored or co-authored by Daniel Amyot include:

  • "A Hitchhiker's Guide to Model-Driven Engineering for Data-Centric Systems" (2020) published in IEEE Software
  • "Specification and analysis of legal contracts with Symboleo" (2022) published in Software & Systems Modeling
  • "Robotic process automation using process mining - A systematic literature review" (2023) published in Data & Knowledge Engineering
  • "Requirements Engineering for Well-Being, Aging, and Health: An Overview for Practitioners" (2021) published in IEEE Software
  • "A Mapping Review on Cyber-Physical Smart Contracts: Architectures, Platforms, and Challenges" (2023) published in IEEE Access

Frequent co-authors contributing alongside Daniel Amyot include John Mylopoulos, Amal Ahmed Anda, Luigi Logrippo, Sofana Alfuhaid, and Alireza Parvizimosaed. These collaborations reflect a strong network of research partnerships in areas related to software systems and legal contracts.

The venues where Daniel Amyot most frequently publishes include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Software & Systems Modeling
  • IEEE Software
  • Energies

Their academic contributions primarily focus on computer science with significant publications within information systems (23 publications), artificial intelligence (18 publications), and management information systems (17 publications). Other subfields include industrial and manufacturing engineering and management science and operations research.

Main research topics covered by Daniel Amyot's work are:

  • Business Process Modeling and Analysis
  • Advanced Software Engineering Methodologies
  • Blockchain Technology Applications and Security
  • Multi-Agent Systems and Negotiation
  • Big Data and Business Intelligence
  • Artificial Intelligence in Law
  • Service-Oriented Architecture and Web Services

Best Publications

  • Evaluating goal models within the goal-oriented requirement language

    Daniel Amyot;Sepideh Ghanavati;Jennifer Horkoff;Gunter Mussbacher

  • Evaluating goal models within the goal‐oriented requirement language

    Unknown

  • A Globally Optimal k-Anonymity Method for the De-Identification of Health Data

    Khaled El Emam;Khaled El Emam;Fida Kamal Dankar;Romeo Issa;Elizabeth Jonker

  • Introduction to the user requirements notation: learning by example

    Daniel Amyot

  • Analysing the cognitive effectiveness of the BPMN 2.0 visual notation

    Nicolas Genon;Patrick Heymans;Daniel Amyot

  • Strategic business modeling: representation and reasoning

    Jennifer Horkoff;Daniele Barone;Lei Jiang;Eric Yu

  • Business process management with the user requirements notation

    Alireza Pourshahid;Daniel Amyot;Liam Peyton;Sepideh Ghanavati

  • User Requirements Notation: The First Ten Years, The Next Ten Years (Invited Paper)

    Daniel Amyot;Gunter Mussbacher

  • The relevance of model-driven engineering thirty years from now

    Gunter Mussbacher;Daniel Amyot;Ruth Breu;Jean-Michel Bruel

  • Towards a framework for tracking legal compliance in healthcare

    Sepideh Ghanavati;Daniel Amyot;Liam Peyton

  • An evaluation of scenario notations and construction approaches for telecommunication systems development

    Daniel Amyot;Armin Eberlein

  • Recovering behavioral design models from execution traces

    A. Hamou-Lhadj;E. Braun;D. Amyot;T. Lethbridge

  • A Lightweight GRL Profile for i* Modeling

    Daniel Amyot;Jennifer Horkoff;Daniel Gross;Gunter Mussbacher

  • Interactive conflict resolution for personalized policy-based services

    Daniel Amyot;Kathy Baker;Thomas Gray;Ramiro Liscano

  • Business Process Modeling with URN

    Michael Weiss;Daniel Amyot

  • Evaluation of development tools for domain-specific modeling languages

    Daniel Amyot;Hanna Farah;Jean-François Roy

  • Use case maps for the capture and validation of distributed systems requirements

    D. Amyot;L. Logrippo;R.J.A. Buhr;T. Gray

  • URN: towards a new standard for the visual description of requirements

    Daniel Amyot;Gunter Mussbacher

  • Compliance Analysis Based on a Goal-oriented Requirement Language Evaluation Methodology

    Sepideh Ghanavati;Daniel Amyot;Liam Peyton

  • Towards integrated tool support for the user requirements notation

    Jean-François Roy;Jason Kealey;Daniel Amyot

  • Feature Description and Feature Interaction Analysis with Use Case Maps and LOTOS

    D. Amyot

Frequent Co-Authors

John Mylopoulos
John Mylopoulos University of Ottawa
Jon Whittle
Jon Whittle Commonwealth Scientific and Industrial Research Organisation
Khaled El Emam
Khaled El Emam University of Ottawa
Eric Yu
Eric Yu University of Toronto
Timothy C. Lethbridge
Timothy C. Lethbridge University of Ottawa
Patrick Heymans
Patrick Heymans University of Namur
Murray Woodside
Murray Woodside Carleton University
Walid Maalej
Walid Maalej Universität Hamburg
Anna Perini
Anna Perini Fondazione Bruno Kessler
Alexander Borgida
Alexander Borgida Rutgers, The State University of New Jersey

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