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Email

Address

Stuhlsatzenhaus 5
66123 Saarbrücken (Germany)

Awards

Selected Awards

2020: ISSTA 2020 Impact Paper Award for "Mutation-driven generation of unit tests and oracles" (with Gordon Fraser)

2017: MSR 10-Year Most Influential Paper Award for "How Long Will It Take to Fix This Bug?" (with Cathrin Weiß, Rahul Premraj, and
Thomas Zimmermann)

2015: MSR 10-Year Most Influential Paper Award for "When do Changes induce Fixes?" (with Jacek Sliwerski and Thomas Zimmermann)

2015: ICSE 10-Year Most Influential Paper Award, Official Runner-Up for "Locating Causes of Program Failures" isolating
cause-effect chains in failing programs (with Holger Cleve)

2014: ICSE 10-Year Most Influential Paper Award for "Mining Software Histories to Guide Software Changes" introducing mining
software repositories (with Thomas Zimmermann, Peter Weißgerber, and Stephan Diehl)

2009: ACM SIGSOFT 10-Year Impact Award for "Yesterday, my program worked. Today, it does not. Why?" introducing
Delta Debugging

Short Bio

Andreas Zeller is faculty at the CISPA Helmholtz Center for Information Security and professor for Software Engineering at Saarland University, both in Saarbrücken, Germany. His research on automated debugging, mining software archives, specification mining, and security testing has been highly influential. Zeller is an ACM Fellow and holds an ACM SIGSOFT Outstanding Research Award.

CV: Last four stations

2019–present
Faculty, CISPA Helmholtz Center for Information Security, Germany
2003–present
Full Professor, Computer Science, Saarland University, Germany
2001–2003
Associate Professor (C3), Computer Science, Saarland University, Germany
1999–2001
Post-Doc Researcher (C1), Computer Science, Passau University, Germany

Publications by Andreas Zeller

Year 2020

Conference / Medium

ESEC/FSE
ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE)

Conference / Medium

ICSE
42nd International Conference on Software Engineering Companion

Conference / Medium

ICSE
42nd International Conference on Software Engineering

2020-09-01

Input Algebras

Conference / Medium

ICSE
International Conference on Software Engineering (ICSE)International Conference on Software Engineering (ICSE)

Conference / Medium

ISSTA
ISSTA - ACM SIGSOFT International Symposium on Software Testing and Analysis

Conference / Medium

ISSTA
International Symposium on Software Testing and Analysis (ISSTA)ISSTA - ACM SIGSOFT International Symposium on Software Testing and Analysis

Conference / Medium

ICSE
Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering2020 IEEE/ACM 42nd International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER)

Conference / Medium

1st IEEE/ACM International Conference on Automation of Software Test

Teaching by Andreas Zeller

Summer 2020

Proseminar: Automated Testing and Debugging

In this proseminar, we explore and evaluate automated techniques for testing and debugging software. We look at a number of classic approaches for generating software tests automatically, for finding errors and locating faults, and for having these two interact with each other.

More information

Summer 2020

Seminar: Advanced Fuzzing Techniques

In this seminar, we explore and evaluate automated test generation techniques (fuzzers) and related techniques for their effectiveness and efficiency. We discuss and design evaluation criteria and apply them on a number of techniques from the "Fuzzing Book" (https://www.fuzzingbook.org). Apart from reporting and presenting your results in the seminar, your evaluation results will be included in the book. If the results or techniques are novel (many of them are), we will also strive to publish them as a scientific paper, with you as co-author.

More information

Winter 2019/20

Advanced Lecture: Generating Software Tests

Software has bugs, and catching bugs can involve lots of effort. This course addresses this problem by automating software testing, specifically by generating tests automatically.