2026 Jon Whittle: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	48	6135	5958	191	190	232	10369

Overview

Jon Whittle is affiliated with the Commonwealth Scientific and Industrial Research Organisation in Australia. Their research primarily falls within the field of Computer Science, with a focus on subfields such as Artificial Intelligence, Information Systems, Safety Research, Health Informatics, and Information Systems and Management.

The topics covered by Jon Whittle's work include:

Ethics and Social Impacts of AI
Artificial Intelligence in Healthcare and Education
Software Engineering Techniques and Practices
Adversarial Robustness in Machine Learning
Technology Adoption and User Behaviour
ICT in Developing Communities
Innovation and Socioeconomic Development

Jon Whittle's recent publications include:

The impact of a STEM-based entrepreneurship program on the entrepreneurial intention of secondary school female students (2021, International Entrepreneurship and Management Journal)
AI Ethics Principles in Practice: Perspectives of Designers and Developers (2023, IEEE Transactions on Technology and Society)
Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering (2023, ACM Computing Surveys)
Human Values in Software Engineering: Contrasting Case Studies of Practice (2020, IEEE Transactions on Software Engineering)
How secondary school girls perceive Computational Thinking practices through collaborative programming with the micro:bit (2021, Journal of Systems and Software)

Their frequent co-authors include Mojtaba Shahin, Harsha Perera, Waqar Hussain, Rifat Ara Shams, and Arif Nurwidyantoro.

Jon Whittle's work is often published in venues such as:

arXiv (Cornell University)
Zenodo (CERN European Organization for Nuclear Research)
IEEE Software
Journal of Systems and Software
IEEE Transactions on Software Engineering

Best Publications

Software Engineering for Self-Adaptive Systems: A Research Roadmap

Betty H. Cheng;Rogério Lemos;Holger Giese;Paola Inverardi

1381
Citations
Generating statechart designs from scenarios

Jon Whittle;Johann Schumann

565
Citations
Empirical assessment of MDE in industry

John Hutchinson;Jon Whittle;Mark Rouncefield;Steinar Kristoffersen

544
Citations
The State of Practice in Model-Driven Engineering

Jon Whittle;John Hutchinson;Mark Rouncefield

499
Citations
RELAX: Incorporating Uncertainty into the Specification of Self-Adaptive Systems

Jon Whittle;Pete Sawyer;Nelly Bencomo;Betty H.C. Cheng

375
Citations
A Goal-Based Modeling Approach to Develop Requirements of an Adaptive System with Environmental Uncertainty

Betty H. Cheng;Pete Sawyer;Nelly Bencomo;Jon Whittle

325
Citations
Requirements-Aware Systems: A Research Agenda for RE for Self-adaptive Systems

Pete Sawyer;Nelly Bencomo;Jon Whittle;Emmanuel Letier

323
Citations
Model-driven engineering practices in industry

John Hutchinson;Mark Rouncefield;Jon Whittle

323
Citations
RELAX: a language to address uncertainty in self-adaptive systems requirement

Jon Whittle;Pete Sawyer;Nelly Bencomo;Betty H. C. Cheng

300
Citations
Model-driven engineering practices in industry

John Hutchinson;Jon Whittle;Mark Rouncefield

261
Citations
Model composition in product lines and feature interaction detection using critical pair analysis

Praveen Jayaraman;Jon Whittle;Ahmed M. Elkhodary;Hassan Gomaa

200
Citations
Requirements reflection: requirements as runtime entities

Nelly Bencomo;Jon Whittle;Pete Sawyer;Anthony Finkelstein

196
Citations
Industrial Adoption of Model-Driven Engineering: Are the Tools Really the Problem?

Jon Whittle;John Hutchinson;Mark Rouncefield;Håkan Burden

196
Citations
Modeling and composing scenario-based requirements with aspects

J. Araujo;J. Whittle;Dae-Kyoo Kim

178
Citations
Scenario modelling with aspects

Jon Whittle;João Araújo

177
Citations
The relevance of model-driven engineering thirty years from now

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

168
Citations
A survey of approaches for verifying model transformations

Lukman Ab. Rahim;Jon Whittle

139
Citations
MATA: A Unified Approach for Composing UML Aspect Models Based on Graph Transformation

Jon Whittle;Praveen Jayaraman;Ahmed Elkhodary;Ana Moreira

133
Citations
MATA: A Tool for Aspect-Oriented Modeling Based on Graph Transformation

Jon Whittle;Praveen Jayaraman

124
Citations
Software engineering for 'social good': integrating action research, participatory design, and agile development

Maria Angela Ferrario;Will Simm;Peter Newman;Stephen Forshaw

108
Citations

Frequent Co-Authors

Nelly Bencomo Durham University

Pete Sawyer Aston University

Alessandro Garcia Pontifical Catholic University of Rio de Janeiro

Anthony Finkelstein University College London

Daniel Amyot University of Ottawa

Betty H. C. Cheng Michigan State University

Mark Rouncefield Lancaster University

Alan Bundy University of Edinburgh

Johann Schumann Langley Research Center

Grigore Rosu University of Illinois at Urbana-Champaign

External Links

Personal website of Jon Whittle Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

If you're considering studying Computer Science in the USA, it's valuable to explore a variety of flexible and affordable pathways. Online learning options now make it easier than ever to start or advance your career—no matter your background.

Many students begin with 2 year online degrees, which provide a quick and cost-effective introduction to computing fundamentals. For those looking to deepen their expertise, pursuing one of the most in demand masters degrees in technology or data science can open doors to high-paying roles in a competitive job market.

Budget-conscious learners have options, with many universities offering cheap online degrees fast. These accelerated programs can cut education costs and help you enter the workforce sooner. Additionally, prospective graduate students with less-than-perfect academic records can check out online graduate schools with low gpa requirements, increasing access to advanced education in the field.

With these online degree options, the journey to a Computer Science career is more accessible than ever—no matter where you start.