Media Summary: This talk presents , a tool that we developed to automatically find logic Dr. Manuel Rigger from ETH talks about the testing framework that helps find 400+ logic Query Partitioning is a general and effective approach to

Detecting Optimization Bugs In Database - Detailed Analysis & Overview

This talk presents , a tool that we developed to automatically find logic Dr. Manuel Rigger from ETH talks about the testing framework that helps find 400+ logic Query Partitioning is a general and effective approach to

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Detecting Optimization Bugs in Database Engines via Non-optimizing Refer...  (Teaser, ESEC/FSE 2020)
Detecting Optimization Bugs in Database Engines via Non-optimizing Referen... (Video, ESEC/FSE 2020)
Finding Logic Bugs in Database Management Systems (Manuel Rigger, ETH SQLancer)
Sonar:Detecting Logic Bugs in DBMS through Generating Semantic-aware Non-Optimizing Query(ICPC 2025)
SQLancer: Automatically Finding Bugs in Database Management Systems
Finding Logic Bugs in Database Management Systems -- Manuel Rigger
OSDI '24 - Detecting Logic Bugs in Database Engines via Equivalent Expression Transformation
OSDI '23 - Detecting Transactional Bugs in Database Engines via Graph-Based Oracle Construction
Finding Bugs in Database Systems via Query Partitioning
USENIX Security '22 - Detecting Logical Bugs of DBMS with Coverage-based Guidance
USENIX ATC '23 - Pinolo: Detecting Logical Bugs in Database Management Systems with Approximate...
[OOPSLA24] Finding Cross-rule Optimization Bugs in Datalog Engines
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Detecting Optimization Bugs in Database Engines via Non-optimizing Refer...  (Teaser, ESEC/FSE 2020)

Detecting Optimization Bugs in Database Engines via Non-optimizing Refer... (Teaser, ESEC/FSE 2020)

Detecting Optimization Bugs in Database

Detecting Optimization Bugs in Database Engines via Non-optimizing Referen... (Video, ESEC/FSE 2020)

Detecting Optimization Bugs in Database Engines via Non-optimizing Referen... (Video, ESEC/FSE 2020)

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Finding Logic Bugs in Database Management Systems (Manuel Rigger, ETH SQLancer)

Finding Logic Bugs in Database Management Systems (Manuel Rigger, ETH SQLancer)

CMU

Sonar:Detecting Logic Bugs in DBMS through Generating Semantic-aware Non-Optimizing Query(ICPC 2025)

Sonar:Detecting Logic Bugs in DBMS through Generating Semantic-aware Non-Optimizing Query(ICPC 2025)

The presentation of paper " Sonar:

SQLancer: Automatically Finding Bugs in Database Management Systems

SQLancer: Automatically Finding Bugs in Database Management Systems

This talk presents @sqlancer_dbms, a tool that we developed to automatically find logic

Finding Logic Bugs in Database Management Systems -- Manuel Rigger

Finding Logic Bugs in Database Management Systems -- Manuel Rigger

Dr. Manuel Rigger from ETH talks about the testing framework that helps find 400+ logic

OSDI '24 - Detecting Logic Bugs in Database Engines via Equivalent Expression Transformation

OSDI '24 - Detecting Logic Bugs in Database Engines via Equivalent Expression Transformation

Detecting

OSDI '23 - Detecting Transactional Bugs in Database Engines via Graph-Based Oracle Construction

OSDI '23 - Detecting Transactional Bugs in Database Engines via Graph-Based Oracle Construction

OSDI '23 -

Finding Bugs in Database Systems via Query Partitioning

Finding Bugs in Database Systems via Query Partitioning

Query Partitioning is a general and effective approach to

USENIX Security '22 - Detecting Logical Bugs of DBMS with Coverage-based Guidance

USENIX Security '22 - Detecting Logical Bugs of DBMS with Coverage-based Guidance

USENIX Security '22 -

USENIX ATC '23 - Pinolo: Detecting Logical Bugs in Database Management Systems with Approximate...

USENIX ATC '23 - Pinolo: Detecting Logical Bugs in Database Management Systems with Approximate...

USENIX ATC '23 - Pinolo:

[OOPSLA24] Finding Cross-rule Optimization Bugs in Datalog Engines

[OOPSLA24] Finding Cross-rule Optimization Bugs in Datalog Engines

Finding

OSDI '20 - Testing Database Engines via Pivoted Query Synthesis

OSDI '20 - Testing Database Engines via Pivoted Query Synthesis

Testing