World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
58
Citations
12859
World Ranking
3643
National Ranking
1742

Research.com Recognitions

  • 2016 - ACM Distinguished Member

Overview

Corina S. Pasareanu is affiliated with Carnegie Mellon University in the United States. Their primary field of study is Computer Science, with a focus on specialized subfields including Artificial Intelligence, Software, Computational Theory and Mathematics, Information Systems, and Computer Networks and Communications.

The scientist's research topics cover a wide range of areas, prominently featuring:

  • Adversarial Robustness in Machine Learning
  • Software Testing and Debugging Techniques
  • Software Reliability and Analysis Research
  • Formal Methods in Verification
  • Software Engineering Research
  • Anomaly Detection Techniques and Applications
  • Explainable Artificial Intelligence (XAI)

Pasareanu has contributed to numerous papers in various respected publication venues. Frequent venues of publication include:

  • arXiv (Cornell University)
  • ACM SIGSOFT Software Engineering Notes
  • International Journal on Software Tools for Technology Transfer
  • Software Testing Verification and Reliability
  • Formal Aspects of Computing

Recent papers authored or co-authored by Pasareanu consist of:

  • "Parallelization Techniques for Verifying Neural Networks," 2020, arXiv (Cornell University)
  • "Parallelization Techniques for Verifying Neural Networks," 2020, reposiTUm (TU Wien)
  • "On using distributed representations of source code for the detection of C security vulnerabilities," 2021, arXiv (Cornell University)
  • "IEEE International Conference on Software Testing, Verification and Validation (ICST 2020)," 2022, Software Testing Verification and Reliability
  • "Controller Synthesis for Autonomous Systems With Deep-Learning Perception Components," 2024, IEEE Transactions on Software Engineering

Co-authors frequently collaborating with Pasareanu include:

  • Ravi Mangal
  • Divya Gopinath
  • Youcheng Sun
  • Radu Călinescu
  • Matt Fredrikson

Pasareanu's work also extends to book publications, primarily through Springer Science+Business Media and Morgan & Claypool Publishers. Their contributions in this area include:

  • "Software Engineering and Formal Methods," 2021
  • "NASA Formal Methods," 2022
  • "Theoretical Aspects of Computing - ICTAC 2022," 2022
  • "Symbolic Execution and Quantitative Reasoning," 2020

Among professional recognitions, Pasareanu received the ACM Distinguished Member award in 2016.

Best Publications

  • Bandera: extracting finite-state models from Java source code

    James C. Corbett;Matthew B. Dwyer;John Hatcliff;Shawn Laubach

  • Generalized symbolic execution for model checking and testing

    Sarfraz Khurshid;Corina S. Păsăreanu;Willem Visser

  • Test input generation with java PathFinder

    Willem Visser;Corina S. Pǎsǎreanu;Sarfraz Khurshid

  • Learning assumptions for compositional verification

    Jamieson M. Cobleigh;Dimitra Giannakopoulou;Corina S. Păsăreanu

  • Symbolic execution for software testing in practice: preliminary assessment

    Cristian Cadar;Patrice Godefroid;Sarfraz Khurshid;Corina S. Pasareanu

  • JPF-SE: a symbolic execution extension to Java PathFinder

    Saswat Anand;Corina S. Păsăreanu;Willem Visser

  • Differential symbolic execution

    Suzette Person;Matthew B. Dwyer;Sebastian Elbaum;Corina S. Pǎsǎreanu

  • Symbolic PathFinder: symbolic execution of Java bytecode

    Corina S. Păsăreanu;Neha Rungta

  • A survey of new trends in symbolic execution for software testing and analysis

    Corina S. Pasareanu;Willem Visser

  • Combining unit-level symbolic execution and system-level concrete execution for testing nasa software

    Unknown

  • Assumption generation for software component verification

    D. Giannakopoulou;C.S. Pasareanu;H. Barringer

  • Symbolic PathFinder: integrating symbolic execution with model checking for Java bytecode analysis

    Corina S. Pasareanu;Willem Visser;David H. Bushnell;Jaco Geldenhuys

  • Testing android apps through symbolic execution

    Nariman Mirzaei;Sam Malek;Corina S. Păsăreanu;Naeem Esfahani

  • Test input generation for java containers using state matching

    Willem Visser;Corina S. Pǎsǎreanu;Radek Pelánek

  • Tool-supported program abstraction for finite-state verification

    Matthew B. Dwyer;John Hatcliff;Roby Joehanes;Shawn Laubach

  • Automated Assume-Guarantee Reasoning by Abstraction Refinement

    Mihaela Gheorghiu Bobaru;Corina S. Păsăreanu;Dimitra Giannakopoulou

  • Verification of Java Programs Using Symbolic Execution and Invariant Generation

    Corina S. Păsăreanu;Willem Visser

  • Learning to divide and conquer: applying the L* algorithm to automate assume-guarantee reasoning

    Corina S. Păsăreanu;Dimitra Giannakopoulou;Mihaela Gheorghiu Bobaru;Jamieson M. Cobleigh

  • Parallel symbolic execution for structural test generation

    Unknown

  • Reliability analysis in symbolic pathfinder

    Antonio Filieri;Corina S. Pasareanu;Willem Visser

  • Assume-Guarantee Model Checking of Software: A Comparative Case Study

    Corina S. Pasareanu;Matthew B. Dwyer;Michael Huth

  • Combining test case generation and runtime verification

    Cyrille Artho;Howard Barringer;Allen Goldberg;Klaus Havelund

Frequent Co-Authors

Willem Visser
Willem Visser Amazon (United States)
Sarfraz Khurshid
Sarfraz Khurshid The University of Texas at Austin
Matthew B. Dwyer
Matthew B. Dwyer University of Virginia
Howard Barringer
Howard Barringer University of Manchester
Clark Barrett
Clark Barrett Stanford University
Koushik Sen
Koushik Sen University of California, Berkeley
Gabor Karsai
Gabor Karsai Vanderbilt University
Edmund M. Clarke
Edmund M. Clarke Carnegie Mellon University
Tevfik Bultan
Tevfik Bultan University of California, Santa Barbara
Klaus Havelund
Klaus Havelund Jet Propulsion Lab

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Related Online Degrees & Career Pathways

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Exploring these related degrees alongside Computer Science can significantly broaden career prospects in the evolving technology landscape.

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