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Computer Science

D-Index
60
Citations
11985
World Ranking
3289
National Ranking
1591

Overview

Gail E. Kaiser is affiliated with Columbia University in the United States. Their research contributions span multiple areas within computer science, focusing notably on software engineering and related subfields.

The main field of study for Kaiser is Computer Science, with a strong emphasis on several subfields including Software, Information Systems, Molecular Biology, Signal Processing, and Computer Networks and Communications.

The research topics commonly addressed by Kaiser include:

  • Software Engineering Research
  • Software Testing and Debugging Techniques
  • Advanced Malware Detection Techniques
  • Software Reliability and Analysis Research
  • Software System Performance and Reliability
  • Autonomous Vehicle Technology and Safety
  • Genomics and Phylogenetic Studies

Recent publications authored or co-authored by Kaiser are as follows:

  • "Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles," 2022, IEEE Transactions on Software Engineering
  • "VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements," 2022, 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)
  • "Sequence Model Design for Code Completion in the Modern IDE," 2020, arXiv (Cornell University)
  • "CYCLE: Learning to Self-Refine the Code Generation," 2024, Proceedings of the ACM on Programming Languages
  • "Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles," 2021, arXiv (Cornell University)

Kaiser frequently publishes in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Software Engineering
  • 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)
  • Proceedings of the ACM on Programming Languages
  • Journal of Systems and Software

Collaborations are an important aspect of Kaiser's work, with common co-authors including Baishakhi Ray, Yangruibo Ding, Marcus J. Min, Alessandro Morari, and Saurabh Pujar.

Best Publications

  • An information retrieval approach for automatically constructing software libraries

    Y.S. Maarek;D.M. Berry;G.E. Kaiser

  • DOM-based content extraction of HTML documents

    Suhit Gupta;Gail Kaiser;David Neistadt;Peter Grimm

  • Concurrency control in advanced database applications

    Naser S. Barghouti;Gail E. Kaiser

  • Testing and validating machine learning classifiers by metamorphic testing

    Xiaoyuan Xie;Joshua W. K. Ho;Christian Murphy;Gail Kaiser

  • Intelligent assistance for software development and maintenance

    G.E. Kaiser;P.H. Feiler;S.S. Popovich

  • Split-Transactions for Open-Ended Activities

    Calton Pu;Gail E. Kaiser;Norman C. Hutchinson

  • Adequate testing and object-oriented programming

    D. E. Perry;G. E. Kaiser

  • The Apache HTTP Server Project

    R.T. Fielding;G. Kaiser

  • Properties of Machine Learning Applications for Use in Metamorphic Testing

    Christian Murphy;Gail E. Kaiser;Lifeng Hu

  • Automating Content Extraction of HTML Documents

    Suhit Gupta;Gail E. Kaiser;Peter Grimm;Michael F. Chiang

  • A paradigm for decentralized process modeling and its realization in the Oz environment

    Israel Z. Ben-Shaul;Gail E. Kaiser

  • Kinesthetics eXtreme: an external infrastructure for monitoring distributed legacy systems

    G. Kaiser;J. Parekh;P. Gross;G. Valetto

  • Models of software development environments

    D. E. Perry;G. E. Kaiser

  • Self-managing systems: a control theory foundation

    Y. Diao;J.L. Hellerstein;Sujay Parekh;R. Griffith

  • An architecture for intelligent assistance in software development

    G. E. Kaiser;P. H. Feiler

  • Models of software development environments

    D.E. Perry;G.E. Kaiser

  • A control theory foundation for self-managing computing systems

    Yixin Diao;J.L. Hellerstein;S. Parekh;R. Griffith

  • A paradigm for decentralized process modeling and its realization in the OZ environment

    Unknown

  • Experience with Process Modeling in the Marvel Software Development Environment Kernel

    Gail E. Kaiser

  • Using tool abstraction to compose systems

    D. Garlan;G.E. Kaiser;D. Notkin

  • Melding Software Systems from Reusable Building Blocks

    G.E. Kaiser;D. Garlan

Frequent Co-Authors

Dewayne E. Perry
Dewayne E. Perry The University of Texas at Austin
Baishakhi Ray
Baishakhi Ray Columbia University
David Garlan
David Garlan Carnegie Mellon University
Salvatore J. Stolfo
Salvatore J. Stolfo Columbia University
Roger N. Anderson
Roger N. Anderson Columbia University
Cynthia Rudin
Cynthia Rudin Duke University
Joseph L. Hellerstein
Joseph L. Hellerstein University of Washington
Yixin Diao
Yixin Diao IBM (United States)
Yoelle Maarek
Yoelle Maarek Amazon (United States)
Justin Starren
Justin Starren Northwestern University

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