World's Best Scientists 2026 revealed!
Ahmed E. Hassan

Ahmed E. Hassan

Award Badge
Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
95
Citations
29194
World Ranking
472
National Ranking
16

Research.com Recognitions

  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award

Overview

Ahmed E. Hassan is affiliated with Queen's University in Canada and has a significant body of work primarily in the field of Computer Science. Their research encompasses several subfields including Information Systems, Artificial Intelligence, Computer Networks and Communications, Software, and Computer Science Applications.

Their research topics include Software Engineering Research, Software System Performance and Reliability, Software Engineering Techniques and Practices, Software Reliability and Analysis Research, Software Testing and Debugging Techniques, Topic Modeling, and Open Source Software Innovations.

Ahmed E. Hassan has authored multiple papers published in a variety of reputable venues. Recent notable papers include:

  • An exploratory study of smart contracts in the Ethereum blockchain platform (2020, Empirical Software Engineering)
  • The Impact of Feature Importance Methods on the Interpretation of Defect Classifiers (2021, IEEE Transactions on Software Engineering)
  • Developing Cost-Effective Blockchain-Powered Applications (2021, ACM Transactions on Software Engineering and Methodology)
  • Just-In-Time Defect Identification and Localization: A Two-Phase Framework (2020, IEEE Transactions on Software Engineering)
  • A Qualitative Study of the Benefits and Costs of Logging From Developers' Perspectives (2020, IEEE Transactions on Software Engineering)

Frequent co-authors with whom they have collaborated extensively include Bram Adams, Gustavo A. Oliva, Haoxiang Zhang, Xin Xia, and David Lo.

The primary publication venues where Hassan's work appears frequently consist of arXiv (Cornell University), Empirical Software Engineering, IEEE Transactions on Software Engineering, Zenodo (CERN European Organization for Nuclear Research), and ACM Transactions on Software Engineering and Methodology.

Best Publications

  • Predicting faults using the complexity of code changes

    Ahmed E. Hassan

  • A large-scale empirical study of just-in-time quality assurance

    Y. Kamei;E. Shihab;B. Adams;A. E. Hassan

  • What are developers talking about? An analysis of topics and trends in Stack Overflow

    Anton Barua;Stephen W. Thomas;Ahmed E. Hassan

  • Studying the effectiveness of application performance management (APM) tools for detecting performance regressions for web applications: an experience report

    Tarek M. Ahmed;Cor-Paul Bezemer;Tse-Hsun Chen;Ahmed E. Hassan

  • An Empirical Comparison of Model Validation Techniques for Defect Prediction Models

    Chakkrit Tantithamthavorn;Shane McIntosh;Ahmed E. Hassan;Kenichi Matsumoto

  • What Do Mobile App Users Complain About

    Hammad Khalid;Emad Shihab;Meiyappan Nagappan;Ahmed E. Hassan

  • The road ahead for Mining Software Repositories

    A.E. Hassan

  • The impact of code review coverage and code review participation on software quality: a case study of the qt, VTK, and ITK projects

    Shane McIntosh;Yasutaka Kamei;Bram Adams;Ahmed E. Hassan

  • The Impact of Automated Parameter Optimization on Defect Prediction Models

    Chakkrit Tantithamthavorn;Shane McIntosh;Ahmed E. Hassan;Kenichi Matsumoto

  • An empirical study of the impact of modern code review practices on software quality

    Shane Mcintosh;Yasutaka Kamei;Bram Adams;Ahmed E. Hassan

  • Automated parameter optimization of classification techniques for defect prediction models

    Chakkrit Tantithamthavorn;Shane McIntosh;Ahmed E. Hassan;Kenichi Matsumoto

  • Predicting change propagation in software systems

    A.E. Hassan;R.C. Holt

  • Revisiting the impact of classification techniques on the performance of defect prediction models

    Baljinder Ghotra;Shane McIntosh;Ahmed E. Hassan

  • Clustering WSDL Documents to Bootstrap the Discovery of Web Services

    Khalid Elgazzar;Ahmed E. Hassan;Patrick Martin

  • Measuring program comprehension: a large-scale field study with professionals

    Xin Xia;Lingfeng Bao;David Lo;Zhenchang Xing

  • The Impact of Class Rebalancing Techniques on the Performance and Interpretation of Defect Prediction Models

    Chakkrit Tantithamthavorn;Ahmed E. Hassan;Kenichi Matsumoto

  • System and method for controlling device usage

    Risvan Coskun;Daryl Joseph Martin;Ahmed E. Hassan;John Ferguson Wilson

  • The top ten list: dynamic fault prediction

    A.E. Hassan;R.C. Holt

  • Revisiting common bug prediction findings using effort-aware models

    Yasutaka Kamei;Shinsuke Matsumoto;Akito Monden;Ken-ichi Matsumoto

  • Cross-project defect prediction using a connectivity-based unsupervised classifier

    Feng Zhang;Quan Zheng;Ying Zou;Ahmed E. Hassan

Frequent Co-Authors

Bram Adams
Bram Adams Queen's University
Zhen Ming Jiang
Zhen Ming Jiang York University
Weiyi Shang
Weiyi Shang University of Waterloo
Shane McIntosh
Shane McIntosh McGill University
Meiyappan Nagappan
Meiyappan Nagappan University of Waterloo
Ying Zou
Ying Zou Queen's University
Richard C. Holt
Richard C. Holt De Montfort University
Emad Shihab
Emad Shihab Concordia University
Yasutaka Kamei
Yasutaka Kamei Kyushu University
Xin Xia
Xin Xia Huawei Technologies (China)

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