Ensuring the Reliability and Robustness of Database Management Systems
( 29. Oct – 03. Nov, 2023 )
- Alexander Böhm (Google Germany - Schwetzingen, DE)
- Hannes Mühleisen (CWI - Amsterdam, NL)
- Danica Porobic (Oracle Switzerland - Zürich, CH)
- Manuel Rigger (National University of Singapore, SG)
- Andreas Dolzmann (für wissenschaftliche Fragen)
- Jutka Gasiorowski (für administrative Fragen)
Database systems are an essential component of most software systems. It is crucial that they function correctly and operate efficiently. Achieving this is difficult, given that growing demands require increasingly sophisticated systems and adapting them to new hardware platforms.
Building on the success of the last seminar in this series, Dagstuhl Seminar 21442, the goal of this Dagstuhl Seminar is to advance the reliability of database systems by bringing together both practitioners as well as researchers working in this domain. We expect to discuss practices, approaches, and open challenges in making database systems and other data-centric systems more reliable (e.g., in terms of correctness, performance, or fault tolerance).
We plan to focus on the following sub-topics:
- Manual testing and test suites
- Automated testing for correctness and performance
- Isolation-level testing
- Database and query generation
- Query languages
- Formal methods and verification
While the first seminar in the series, Dagstuhl Seminar 21442, was open-ended, we plan for a more focused follow-up seminar with Dagstuhl Seminar 23441. Specifically, as a concrete tangible outcome of the seminar, we aim to brainstorm, write, and publish a manuscript on (1) best practices in ensuring database systems' reliability, (2) the state of the art on this topic in research, as well as (3) open challenges, which might also serve as the cornerstone of writing a book on this topic.
- Dagstuhl-Seminar 21442: Ensuring the Reliability and Robustness of Database Management Systems (2021-11-01 - 2021-11-04) (Details)
- Software Engineering
- database testing
- database reliability
- database benchmarking