CLOTHO: Directed Test Generation for Weakly Consistent Database Systems
Relational database applications are notoriously difficult to test and debug. Concurrent execution of database transactions may violate complex structural invariants that constraint how changes to the contents of one (shared) table affect the contents of another. Simplifying the underlying concurrency model is one way to ameliorate the difficulty of understanding how concurrent accesses and updates can affect database state with respect to these sophisticated properties. Enforcing serializable execution of all transactions achieves this simplification, but it comes at a significant price in performance, especially at scale, where database state is often replicated to improve latency and availability.
To address these challenges, this paper presents a novel testing framework for detecting serializability violations in (SQL) database-backed Java applications executing on weakly-consistent storage systems. We manifest our approach in a tool, CLOTHO, that combines a static analyzer and model checker to generate abstract executions, discover serializability violations in these executions, and translate them back into concrete test inputs suitable for deployment in a test environment. To the best of our knowledge, CLOTHO, is the first automated test generation facility for identifying serializability anomalies of Java applications intended to operate in geo-replicated distributed environments. An experimental evaluation on a set of industry-standard benchmarks demonstrates the utility of our approach.
Fri 25 OctDisplayed time zone: Beirut change
11:00 - 12:30
|CLOTHO: Directed Test Generation for Weakly Consistent Database Systems|
Kia Rahmani Purdue University, Kartik Nagar Purdue University, Benjamin Delaware Purdue University, Suresh Jagannathan Purdue UniversityDOI Pre-print
|Coverage Guided, Property Based Testing|
Leonidas Lampropoulos University of Pennsylvania, University of Maryland, Michael Hicks University of Maryland, Benjamin C. Pierce University of PennsylvaniaDOI
|FuzzFactory: Domain-Specific Fuzzing with Waypoints|
Rohan Padhye University of California, Berkeley, Caroline Lemieux University of California, Berkeley, Koushik Sen University of California, Berkeley, Laurent Simon Samsung Research America, Hayawardh Vijayakumar Samsung Research AmericaDOI Pre-print
|Compiler Fuzzing: How Much Does It Matter?|
Michaël Marcozzi Imperial College London, Qiyi Tang Imperial College London, Alastair F. Donaldson Imperial College London, Cristian Cadar Imperial College LondonLink to publication DOI Pre-print Media Attached File Attached