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Research Group

Zeller

Software Research

At Zeller's group at CISPA, we do software research. We create tools and techniques that help developers build better software – by automatically testing, analyzing, and debugging its code and its development process. Our research projects involve generating software tests, automated debugging and repair, analyzing mobile systems, analyzing user interfaces, and more – all areas in which we continue to shape academic research and industrial practice.

Head of Group

Andreas Zeller

Email

Address

Stuhlsatzenhaus 5
66123 Saarbrücken (Germany)

Members

Rafael Dutra
© Tobias Ebelshäuser

Dominic Steinhöfel
Placeholder

Leon Bettscheider

Marius Smytzek
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Stanimir Iglev

Tural Mammadov

Fengmin Zhu
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Tobias Risch
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Batuhan Serce

Most Recent Publications

Year 2023

2023-08-21

Learning Program Models from Generated Inputs

Conference / Medium

ICSE
2023 IEEE/ACM 45th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)Doctoral Symposium

Tags
Threat Detection and Defenses
Authors
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2023-07-27

Revisiting Neural Program Smoothing for Fuzzing

Conference / Medium

ESEC/FSE
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE ’23)ESEC/FSE 2023

Tags
Reliable Security Guarantees
Authors
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2023-05-07

From Input to Failure: Explaining Program Behavior via Cause-Effect Chains

Conference / Medium

ICSE
Doctoral SymposiumICSE 2023

Tags
Threat Detection and Defenses
Authors
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2023-05-05

Semantic Debugging

Conference / Medium

ESEC/FSE
Research PapersESEC/FSE 2023

Tags
Threat Detection and Defenses
Authors
Download Visit Detail Page
2023-05-05

Semantic Debugging

Conference / Medium

ESEC/FSE
Research PapersESEC/FSE 2023

Tags
Threat Detection and Defenses
Authors
Download Visit Detail Page

PROJECTS

CURRENT PROJECTS

Our research projects involve generating software tests, automated debugging and repair, analyzing mobile systems, analyzing user interfaces, and more; see our papers below for details. Our solutions typically apply and combine several techniques including dynamic analysis, static analysis, specification mining, test generation, natural language processing, machine learning, and formal languages.

My largest project these days is The Fuzzing Book—an interactive textbook on test generation (“fuzzing”) techniques. You can execute and edit the code right in your browser.