VLDB 2026 Research / reviewers in the wild / expert
Danielle Stewart
dblp:205/2262
· DBLP profile ↗
5ranked-venue papers
1as first author
5since 2021 · last 2025
0000-0002-3591-5222ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 4 · 4 since 2021Security and privacy · 1 · 1 first-author · 1 since 2021Theory of computation · 1 · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Automated property-based testing from AADL component contracts
John Hatcliff, Jason Belt, Robby, Jacob Legg, Danielle Stewart, Todd Carpenter |
Int. J. Softw. Tools Technol. Transf. | 5 |
| 2023 | Automated Property-Based Testing from AADL Component Contracts
John Hatcliff, Jason Belt, Robby, Jacob Legg, Danielle Stewart, Todd Carpenter |
FMICS | 5 |
| 2022 | Formalization of the AADL Run-Time Services
John Hatcliff, Jérôme Hugues, Danielle Stewart, Lutz Wrage |
ISoLA (2) | 3 |
| 2022 | Mechanization of a Large DSML: An Experiment with AADL and CoqabstractDomain-Specific Modeling Languages (DSMLs) rely on model-based techniques to deliver tailored languages to meet specific needs, such as system modeling, formal verification, and code generation. A DSML has specific static and dynamic behavior rules that must be properly assessed before processing the model. The definition of these rules remains a challenge. Meta-modeling techniques usually lack the foundational elements required to fully express behavioral semantics. In this context, using an interactive theorem prover provides a mathematical foundation with which the semantics of a DSML can be defined. This includes an abstract syntax tree, typing rules, and derivation of an executable simulator. In this paper, we report on an ongoing effort to capture the SAE AADL language using Coq along with specific analysis capabilities. Our contribution provides an unambiguous semantics for a large set of the language and can be used as a foundation to build rich analysis capabilities. Jérôme Hugues, Lutz Wrage, John Hatcliff, Danielle Stewart |
MEMOCODE | 4 |
| 2021 | Composition of Fault Forests
Danielle Stewart, Michael W. Whalen, Mats P. E. Heimdahl, Darren D. Cofer |
SAFECOMP | 1 |