Record link: 
http://hdl.handle.net/20.500.12708/230095
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Title: 
Consistency-Based Software Diagnosis: Accuracy, Scalability, and Limitations
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Citation: 
Sallinger, S. S., Graussam, L., Weissenbacher, G., Zuleger, F., & Ignatiev, A. (2026). Consistency-Based Software Diagnosis: Accuracy, Scalability, and Limitations. In Computer Aided Verification (CAV 2026) (pp. 207–229). Springer Cham. https://doi.org/10.1007/978-3-032-32537-2_10
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Publisher DOI: 
10.1007/978-3-032-32537-2_10
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Sallinger, Sarah Sophie 
Graussam, Lukas 
Weissenbacher, Georg 
Zuleger, Florian 
Ignatiev, Alexey 
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Organisational Unit: 
E192-04 - Forschungsbereich Formal Methods in Systems Engineering 
E192-02 - Forschungsbereich Databases and Artificial Intelligence 
E056-13 - Fachbereich LogiCS 
E056-26 - Fachbereich Automated Reasoning 
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Published in: 
Computer Aided Verification (CAV 2026) 
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ISBN: 
978-3-032-32537-2
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Volume: 
16684
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DOI of the book: 
10.1007/978-3-032-32537-2
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Date (published): 
24-Jul-2026
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Event name: 
38th International Conference on Computer Aided Verification (CAV 2026) 
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Event date: 
26-Jul-2026 - 29-Jul-2026
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Event place: 
Lissabon, Portugal
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Number of Pages: 
23
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Publisher: 
Springer Cham
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Peer reviewed: 
Yes
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Keywords: 
consistency-based diagnosis; fault localization; software diagnosis
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Project title: 
Automated Reasoning with Theories and Induction for Software Technologies: ERC Consolidator Grant 2020 (European Commission) 
Heisenbugs: Auffindung und Erklärung: VRG11-005 (WWTF Wiener Wissenschafts-, Forschu und Technologiefonds) 
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Project (external): 
European Union/Horizon Europe WIDERA
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Project ID: 
101160022
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Research Areas: 
Logic and Computation: 100%
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Science Branch: 
1020 - Informatik: 100%
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Appears in Collections:
Conference Paper

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