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Computer Science

D-Index
49
Citations
12134
World Ranking
5803
National Ranking
2638

Research.com Recognitions

  • 2016 - ACM Distinguished Member

Overview

Sebastian Elbaum is affiliated with the University of Virginia in the United States and specializes in the field of Computer Science. Their work spans several subfields, including Artificial Intelligence, Software, Aerospace Engineering, Computer Vision and Pattern Recognition, and Information Systems.

The scientist's research focus covers topics such as Adversarial Robustness in Machine Learning, Software Testing and Debugging Techniques, Software Engineering Research, Software System Performance and Reliability, Autonomous Vehicle Technology and Safety, Robotics and Sensor-Based Localization, and Robotic Path Planning Algorithms.

Recent papers authored or coauthored by Sebastian Elbaum include:

  • Semantic image fuzzing of AI perception systems, 2022, Proceedings of the 44th International Conference on Software Engineering
  • DeepManeuver: Adversarial Test Generation for Trajectory Manipulation of Autonomous Vehicles, 2023, IEEE Transactions on Software Engineering
  • An Empirical Study on Type Annotations, 2021, ACM Transactions on Software Engineering and Methodology
  • Towards In-Flight Transfer of Payloads Between Multirotors, 2020, IEEE Robotics and Automation Letters
  • Characterizing User Responses to Failures in Aerial Autonomous Systems, 2020, IEEE Robotics and Automation Letters

Frequent coauthors in their research work include Matthew B. Dwyer, Trey Woodlief, David Shriver, Felipe Toledo, and Carrick Detweiler.

Sebastian Elbaum has published regularly in venues such as arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), IEEE Robotics and Automation Letters, IEEE Transactions on Software Engineering, and Proceedings of the ACM on Software Engineering.

The scientist was recognized as an ACM Distinguished Member in 2016.

Best Publications

  • Supporting Controlled Experimentation with Testing Techniques: An Infrastructure and its Potential Impact

    Hyunsook Do;Sebastian Elbaum;Gregg Rothermel

  • Test case prioritization: a family of empirical studies

    S. Elbaum;A.G. Malishevsky;G. Rothermel

  • Prioritizing test cases for regression testing

    Sebastian Elbaum;Alexey G. Malishevsky;Gregg Rothermel

  • Incorporating varying test costs and fault severities into test case prioritization

    Sebastian Elbaum;Alexey Malishevsky;Gregg Rothermel

  • Techniques for improving regression testing in continuous integration development environments

    Sebastian Elbaum;Gregg Rothermel;John Penix

  • Differential symbolic execution

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

  • Selecting a Cost-Effective Test Case Prioritization Technique

    Sebastian Elbaum;Gregg Rothermel;Satya Kanduri;Alexey G. Malishevsky

  • Leveraging user-session data to support Web application testing

    S. Elbaum;G. Rothermel;S. Karre;M. Fisher

  • Method of and system for detecting an anomalous operation of a computer system

    John C. Munson;Sebastian G. Elbaum

  • Improving web application testing with user session data

    Sebastian Elbaum;Srikanth Karre;Gregg Rothermel

  • How developers search for code: a case study

    Caitlin Sadowski;Kathryn T. Stolee;Sebastian Elbaum

  • Quality assurance under the open source development model

    Luyin Zhao;Sebastian Elbaum

  • Programmers' build errors: a case study (at google)

    Hyunmin Seo;Caitlin Sadowski;Sebastian Elbaum;Edward Aftandilian

  • Code churn: a measure for estimating the impact of code change

    J.C. Munson;S.G. Elbaum

  • On Crop Height Estimation with UAVs

    David J. Anthony;Sebastian G. Elbaum;Aaron Lorenz;Carrick Detweiler

  • Autonomous Aerial Water Sampling

    John-Paul Ore;Sebastian Elbaum;Amy Burgin;Carrick Detweiler

  • Cost-cognizant Test Case Prioritization

    Alexey G. Malishevsky;Joseph R. Ruthru;Gregg Rothermel;Sebastian Elbaum

  • On test suite composition and cost-effective regression testing

    Gregg Rothermel;Sebastian Elbaum;Alexey G. Malishevsky;Praveen Kallakuri

  • Solving the Search for Source Code

    Kathryn T. Stolee;Sebastian Elbaum;Daniel Dobos

  • Understanding the effects of changes on the cost-effectiveness of regression testing techniques

    Sebastian G. Elbaum;Praveen Kallakuri;Alexey G. Malishevsky;Gregg Rothermel

Frequent Co-Authors

Matthew B. Dwyer
Matthew B. Dwyer University of Virginia
Gregg Rothermel
Gregg Rothermel North Carolina State University
David S. Rosenblum
David S. Rosenblum George Mason University
Antonia Bertolino
Antonia Bertolino National Research Council (CNR)
Brad A. Myers
Brad A. Myers Carnegie Mellon University
Myra B. Cohen
Myra B. Cohen Iowa State University
Jin Song Dong
Jin Song Dong Griffith University
Xiangyu Zhang
Xiangyu Zhang Purdue University West Lafayette
Gerardo Canfora
Gerardo Canfora University of Sannio
Mehmet C. Vuran
Mehmet C. Vuran University of Nebraska–Lincoln

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