World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
6346
World Ranking
13887
National Ranking
5519

Overview

Ben Liblit is affiliated with the University of Wisconsin-Madison in the United States and conducts research primarily in the field of Computer Science. Their work spans several subfields, including Information Systems, Signal Processing, Software, Artificial Intelligence, and Computer Networks and Communications.

The scientist has contributed extensively to Software Engineering Research, Advanced Malware Detection Techniques, Software Testing and Debugging Techniques, Adversarial Robustness in Machine Learning, Software System Performance and Reliability, and Software Reliability and Analysis Research.

Recent publications by Ben Liblit and close collaborators include:

  • User-assisted code query customization and optimization, 2024, International Journal on Software Tools for Technology Transfer
  • Static Analysis for AWS Best Practices in Python Code, 2022, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • TOFU: Target-Oriented FUzzer, 2020, arXiv (Cornell University)
  • A Set-Covering Approach to Customized Coverage Instrumentation, 2023, INFORMS journal on computing
  • Code and Data Repository for A Set-Covering Approach to Customized Coverage Instrumentation, 2023, INFORMS journal on computing

Frequent collaborations have been established with researchers such as Rajdeep Mukherjee, Omer Tripp, Carla Michini, Peter Ohmann, and Jeff Linderoth. These co-authors have contributed to a range of projects and publications within similar research themes.

Ben Liblit's work has appeared in several key venues including:

  • INFORMS journal on computing
  • International Journal on Software Tools for Technology Transfer
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • arXiv (Cornell University)

The research focuses on advancing methodologies and tools that enhance software reliability and performance, employing approaches such as static analysis, coverage instrumentation, and fuzz testing to improve code quality and robustness. The contributions to malware detection and adversarial robustness indicate an intersection with cybersecurity and machine learning challenges.

Best Publications

  • Scalable statistical bug isolation

    Ben Liblit;Mayur Naik;Alice X. Zheng;Alex Aiken

  • Bug isolation via remote program sampling

    Ben Liblit;Alex Aiken;Alice X. Zheng;Michael I. Jordan

  • Titanium: a high-performance Java dialect

    Katherine A. Yelick;Katherine A. Yelick;Luigi Semenzato;Luigi Semenzato;Geoff Pike;Geoff Pike;Carleton Miyamoto;Carleton Miyamoto

  • HOLMES: Effective statistical debugging via efficient path profiling

    Trishul M. Chilimbi;Ben Liblit;Krishna Mehra;Aditya V. Nori

  • Supporting nested transactional memory in logTM

    Michelle J. Moravan;Jayaram Bobba;Kevin E. Moore;Luke Yen

  • Automated atomicity-violation fixing

    Guoliang Jin;Linhai Song;Wei Zhang;Shan Lu

  • Statistical debugging: simultaneous identification of multiple bugs

    Alice X. Zheng;Michael I. Jordan;Ben Liblit;Mayur Naik

  • Automated concurrency-bug fixing

    Guoliang Jin;Wei Zhang;Dongdong Deng;Ben Liblit

  • Titanium Language Reference Manual

    Paul N. Hilfinger;Dan Bonachea;Susan Graham

  • Cooperative bug isolation: winning thesis of the 2005 ACM doctoral dissertation competition

    Ben Liblit

  • Instrumentation and sampling strategies for cooperative concurrency bug isolation

    Guoliang Jin;Aditya Thakur;Ben Liblit;Shan Lu

  • Statistical debugging using compound boolean predicates

    Piramanayagam Arumuga Nainar;Ting Chen;Jake Rosin;Ben Liblit

  • Statistical Debugging Using Latent Topic Models

    David Andrzejewski;Anne Mulhern;Ben Liblit;Xiaojin Zhu

  • Cognitive Perspectives on the Role of Naming in Computer Programs

    Ben Liblit;Andrew Begel;Eve Sweetser

  • EIO: error handling is occasionally correct

    Haryadi S. Gunawi;Cindy Rubio-González;Andrea C. Arpaci-Dusseau;Remzi H. Arpaci-Dussea

  • Estimating the Impact of Scalable Pointer Analysis on Optimization

    Manuvir Das;Ben Liblit;Manuel Fähndrich;Jakob Rehof

  • Code vectors: understanding programs through embedded abstracted symbolic traces

    Jordan Henkel;Shuvendu K. Lahiri;Ben Liblit;Thomas Reps

  • Error propagation analysis for file systems

    Cindy Rubio-González;Haryadi S. Gunawi;Ben Liblit;Remzi H. Arpaci-Dusseau

  • Statistical Debugging of Sampled Programs

    Alice X. Zheng;Michael I. Jordan;Ben Liblit;Alex Aiken

  • Extracting Output Formats from Executables

    Junghee Lim;Thomas Reps;Ben Liblit

  • Titanium: A High Performance Java Dialect.

    Arvind Krishnamurthy;Alexander Aiken;Phillip Colella

Frequent Co-Authors

Alex Aiken
Alex Aiken Stanford University
Thomas Reps
Thomas Reps University of Wisconsin–Madison
Katherine Yelick
Katherine Yelick University of California, Berkeley
Susan L. Graham
Susan L. Graham University of California, Berkeley
Michael I. Jordan
Michael I. Jordan University of California, Berkeley
Shan Lu
Shan Lu University of Chicago
Barton P. Miller
Barton P. Miller University of Wisconsin–Madison
Bronis R. de Supinski
Bronis R. de Supinski Lawrence Livermore National Laboratory
Martin Schulz
Martin Schulz Technical University of Munich
Arvind Krishnamurthy
Arvind Krishnamurthy University of Washington

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