Corina Pasareanu performs research in software engineering at NASA Ames in the Robust Software Engineering group. She is employed by Carnegie Mellon at the Silicon Valley campus. She is affiliated with CMU’s CyLab and holds a courtesy appointment in Electrical and Computer Engineering. At Ames, she is developing and extending Symbolic PathFinder, a symbolic execution tool for Java bytecode. Her research interests include: model checking and automated testing, compositional verification, model-based development, probabilistic software analysis, and autonomy and Security.
She is/was Program/General Chair for several conferences including: the International Conference on Software Testing, Validation and Verification (ICST 2020), the ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2018), the International Conference on Computer Aided Verification (CAV 2015), the International Symposium on Software Testing and Analysis (ISSTA 2014), the International Conference on Automated Software Engineering (ASE 2011), and the NASA Formal Methods Symposium (NFM 2009).
She is the recipient of several awards, including ASE Most Influential Paper Award (2018), ESEC/FSE Test of Time Award (2018), ISSTA Retrospective Impact Paper Award (2018), ACM Distinguished Scientist (2016), ACM Impact Paper Award (2010), ICSE 2010 Most Influential Paper Award (2010). She is currently an associate editor for the IEEE Transactions on Software Engineering (TSE) journal.
2001 Ph.D., Computer Science, Kansas State University
1995 MS, Computer Science, University Politehcnica of Bucharest
1994 BS, Computer Science, University Politehcnica of Bucharest
- AI and ML for security
- authentication and passwords
- automotive and transportation security and privacy
- compositional verification
- cyber physical systems security and privacy
- data security and privacy
- Formal methods
- formal methods for security
- language-based security
- ML and AI
- model checking and automated testing
- model-based development
- network security
- probalistic software analysis
- protocol security
- security of AI and ML
- software engineering
- software security
- systems security
- Usability and human behavior
CyLab’s Corina Pasareanu and colleagues receive $1.2 million grant to develop automated bug-finding techniques
The National Science Foundation has awarded a $1.2 million grant to researchers at Carnegie Mellon University, UC-Berkeley, and UC-Santa Barbara to develop automated bug-detection and repair techniques that work at large scales.
CMU-SV’s Top 10 of 2018
We are counting down to the new year with CMU-SV’s top 10 of 2018, celebrating novel projects, awards, and research wins from this past year.
Ready for takeoff
A team of researchers and students at CMU-SV are using simulation and AI technologies to optimize flight departure and arrival schedules for safety and efficiency.
Reducing complexity to increase security
Carnegie Mellon University team receives $7.5M ONR grant for software complexity reduction, or simplifying complex internet protocols to build greater security.
Fourteen years later, Pasareanu’s automated software-testing work awarded for retrospective impact
Fourteen years ago, CyLab associate research professor Corina Pasareanu and two of her colleagues published a paper outlining three automated techniques for checking software for bugs and vulnerabilities. This month, Pasareanu and her colleagues are receiving the 2018 Retrospective Impact Award from the International Symposium on Software Testing and Analysis (ISSTA).
Pasareanu to receive ISSTA Retrospective Impact Paper Award
CMU-SV and CyLab’s Corina Pasareanu has been selected to receive the International Symposium on Software Testing and Analysis (ISSTA) 2018 Retrospective Impact Paper Award.