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Computer Science

D-Index
59
Citations
15296
World Ranking
3404
National Ranking
1651

Overview

Barton P. Miller is affiliated with the University of Wisconsin-Madison in the United States and specializes in computer science, with a research focus that spans several subfields.

The main fields of study associated with their work include:

  • Computer Science

Within this broad domain, their research covers multiple subfields, such as:

  • Software
  • Information Systems
  • Signal Processing
  • Artificial Intelligence
  • Computer Networks and Communications

The key topics explored in their work are:

  • Advanced Malware Detection Techniques
  • Security and Verification in Computing
  • Software Reliability and Analysis Research
  • Information and Cyber Security
  • Software Testing and Debugging Techniques
  • Software System Performance and Reliability
  • Radiation Effects in Electronics

Barton P. Miller has contributed to several recent papers, including:

  • "Evaluation of Static Vulnerability Detection Tools With Java Cryptographic API Benchmarks," 2022, IEEE Transactions on Software Engineering
  • "The Relevance of Classic Fuzz Testing: Have We Solved This One?," 2020, IEEE Transactions on Software Engineering
  • "An In-Depth Security Assessment of Maritime Container Terminal Software Systems," 2020, IEEE Access
  • "Being the Developers' Friend: Our Experience Developing a High-Precision Tool for Secure Coding," 2022, IEEE Security & Privacy
  • "Guide to Securing Scientific Software," 2023, Zenodo (CERN European Organization for Nuclear Research)

The frequent co-authors with whom Miller has collaborated include:

  • Elisa Heymann
  • Sazzadur Rahaman
  • Danfeng Yao
  • Sean Peisert
  • Sharmin Afrose

Miller's work has been published across a variety of venues, notably:

  • IEEE Security & Privacy
  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • IEEE Transactions on Software Engineering
  • IEEE Access

Their research interests reflect concerns with software performance, security, and reliability, particularly through techniques like malware detection, vulnerability analysis, and fuzz testing. The contributions span experimental, assessment, and tool development approaches within the software and information systems communities.

Best Publications

  • An empirical study of the reliability of UNIX utilities

    Barton P. Miller;Louis Fredriksen;Bryan So

  • The Paradyn parallel performance measurement tool

    B.P. Miller;M.D. Callaghan;J.M. Cargille;J.K. Hollingsworth

  • What are race conditions?: Some issues and formalizations

    Robert H. B. Netzer;Barton P. Miller

  • Optimal tracing and replay for debugging message-passing parallel programs

    Robert H. B. Netzer;Barton P. Miller

  • Process migration in DEMOS/MP

    Michael L. Powell;Barton P. Miller

  • An empirical study of the robustness of MacOS applications using random testing

    Barton P. Miller;Gregory Cooksey;Fredrick Moore

  • Fuzz Revisited: A Re-examination of the Reliability of UNIX Utilities and Services

    Barton P Miller;David Koski;Cjin Pheow Lee;Vivekandanda Maganty

  • An empirical study of the robustness of Windows NT applications using random testing

    Justin E. Forrester;Barton P. Miller

  • MRNet: A Software-Based Multicast/Reduction Network for Scalable Tools

    Philip C. Roth;Dorian C. Arnold;Barton P. Miller

  • Dynamic program instrumentation for scalable performance tools

    J.K. Hollingsworth;B.P. Miller;J. Cargille

  • Efficient Context-Sensitive Intrusion Detection.

    Jonathon T. Giffin;Somesh Jha;Barton P. Miller

  • IPS-2: the second generation of a parallel program measurement system

    B.P. Miller;M. Clark;J. Hollingsworth;S. Kierstead

  • Hybrid analysis and control of malware

    Kevin A. Roundy;Barton P. Miller

  • Formalizing sensitivity in static analysis for intrusion detection

    H.H. Feng;J.T. Giffin;Yong Huang;S. Jha

  • Reliable network connections

    Victor C. Zandy;Barton P. Miller

  • A mechanism for efficient debugging of parallel programs

    Barton P. Miller;Jong-Deok Choi

  • Fine-grained dynamic instrumentation of commodity operating system kernels

    Ariel Tamches;Barton P. Miller

  • Techniques for debugging parallel programs with flowback analysis

    Jong-Deok Choi;Barton P. Miller;Robert H. B. Netzer

  • Critical path analysis for the execution of parallel and distributed programs

    C.-Q. Yang;B.P. Miller

  • Improving the accuracy of data race detection

    Robert H. B. Netzer;Barton P. Miller

Frequent Co-Authors

Somesh Jha
Somesh Jha University of Wisconsin–Madison
Jeffrey K. Hollingsworth
Jeffrey K. Hollingsworth University of Maryland, College Park
Martin Schulz
Martin Schulz Technical University of Munich
Allen D. Malony
Allen D. Malony University of Oregon
Jong-Deok Choi
Jong-Deok Choi Samsung (South Korea)
Bronis R. de Supinski
Bronis R. de Supinski Lawrence Livermore National Laboratory
Ben Liblit
Ben Liblit University of Wisconsin–Madison
Xiaojin Zhu
Xiaojin Zhu University of Wisconsin–Madison
Wenke Lee
Wenke Lee Georgia Institute of Technology
Jesús Labarta
Jesús Labarta Barcelona Supercomputing Center

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