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Computer Science

D-Index
33
Citations
5655
World Ranking
12538
National Ranking
193

Overview

Ofer Strichman is affiliated with the Technion - Israel Institute of Technology in Israel. Their research focuses mainly on computer science, with a significant emphasis on software, computational theory and mathematics, and artificial intelligence. The main topics covered in their work include formal methods in verification, software testing and debugging techniques, software reliability and analysis research, model-driven software engineering techniques, logic, programming, and type systems, software engineering research, and diagnosis of COVID-19 using AI.

Their frequent coauthors include Jianwen Li, Geguang Pu, Hana Chockler, Roderick Bloem, and Masoud Ebrahimi, with multiple joint publications reflecting ongoing collaborations.

Ofer Strichman has published in a variety of venues, contributing six papers to arXiv (Cornell University), two to Formal Methods in System Design, one to the Journal of Artificial Intelligence Research, one to the Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, and one to Leibniz-Zentrum für Informatik (Schloss Dagstuhl).

Several recent papers include:

  • Learning the Language of Software Errors, 2020, Journal of Artificial Intelligence Research
  • Automated Repair of Neural Networks, 2022, arXiv (Cornell University)
  • Certified CNF Translations for Pseudo-Boolean Solving, 2022, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Specifiable robustness in reactive synthesis, 2022, Formal Methods in System Design
  • Combining BMC and Complementary Approximate Reachability to Accelerate Bug-Finding, 2022, Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design

In the area of book publications, Strichman contributed to the proceedings of the 20th Conference on Formal Methods in Computer-Aided Design - FMCAD 2020, published by the University of Udine.

Best Publications

  • Bounded Model Checking

    Armin Biere;Alessandro Cimatti;Edmund M. Clarke;Ofer Strichman

  • Decision Procedures: An Algorithmic Point of View

    Daniel Kroening;Ofer Strichman

  • Efficient computation of recurrence diameters

    Daniel Kroening;Ofer Strichman

  • Error explanation with distance metrics

    Alex Groce;Sagar Chaki;Daniel Kroening;Ofer Strichman

  • SAT Based Abstraction-Refinement Using ILP and Machine Learning Techniques

    Edmund M. Clarke;Anubhav Gupta;James H. Kukula;Ofer Shrichman

  • Deciding bit-vector arithmetic with abstraction

    Randal E. Bryant;Daniel Kroening;Joël Ouaknine;Sanjit A. Seshia

  • Efficient Computation of Recurrence Diameters

    Daniel Kroening;Ofer Strichman

  • Completeness and Complexity of Bounded Model Checking

    Edmund M. Clarke;Daniel Kroening;Joël Ouaknine;Ofer Strichman

  • Decision Procedures

    Unknown

  • Regression verification

    Benny Godlin;Ofer Strichman

  • Deciding separation formulas with SAT

    Ofer Strichman;Sanjit A. Seshia;Randal E. Bryant

  • Deciding Separation Formulas with SAT

    Ofer Strichman;Sanjit A. Seshia;Randal E. Bryant

  • Deciding Equality Formulas by Small Domains Instantiations

    Amir Pnueli;Yoav Rodeh;Ofer Shtrichman;Michael Siegel

  • The Code Validation Tool (CVT)

    A. Pnueli;O. Shtrichman;M. Siegel

  • Regression verification: proving the equivalence of similar programs

    Benny Godlin;Ofer Strichman

  • SAT-based counterexample-guided abstraction refinement

    E.M. Clarke;A. Gupta;O. Strichman

  • Efficient Verification of Sequential and Concurrent C Programs

    S. Chaki;E. Clarke;A. Groce;J. Ouaknine

  • Accelerating Bounded Model Checking of Safety Properties

    Ofer Strichman

  • Proof-guided underapproximation-widening for multi-process systems

    Orna Grumberg;Flavio Lerda;Ofer Strichman;Michael Theobald

  • The small model property: how small can it be?

    Amir Pnueli;Yoav Rodeh;Ofer Strichmann;Michael Siegel

  • Theory and Applications of Satisfiability Testing – SAT 2010

    Ofer Strichman;Stefan Szeider

  • Inference rules for proving the equivalence of recursive procedures

    Benny Godlin;Ofer Strichman

  • Explaining abstract counterexamples

    Sagar Chaki;Alex Groce;Ofer Strichman

  • SAT based abstraction-refinement using ILP and machine learning techniques

    Edmund Clarke;Anubhav Gupta;James Kukula;Ofer Strichman

  • Regression Verification: Proving the Equivalence of Similar Programs

    Ofer Strichman

  • SPECIAL S ECTION O N T OOLS A ND A LGORITHMS F OR THE C ONSTRUCTION A ND A NALYSIS O F S YSTEMS

    Alex Groce;Sagar Chaki;Daniel Kroening;Ofer Strichman

Frequent Co-Authors

Daniel Kroening
Daniel Kroening Amazon (United States)
Sagar Chaki
Sagar Chaki Siemens (United States)
Joël Ouaknine
Joël Ouaknine Max Planck Institute for Software Systems
Edmund M. Clarke
Edmund M. Clarke Carnegie Mellon University
Arie Gurfinkel
Arie Gurfinkel University of Waterloo
Sanjit A. Seshia
Sanjit A. Seshia University of California, Berkeley
Alex Groce
Alex Groce Northern Arizona University
Randal E. Bryant
Randal E. Bryant Carnegie Mellon University
Roderick Bloem
Roderick Bloem Graz University of Technology
Amir Pnueli
Amir Pnueli Weizmann Institute of Science

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