Demo Data from EDBT 2026 / reviewers in the wild / expert
Miriam Lagunes-Rochin
dblp:423/7407
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0008-9482-3900ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Software engineering, system software, and programming languages
1 paper |
Program verification · 61% Concurrent programming · 30% Program analysis · 9% |
Topics — the 2 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Program verification
concurrent program verification |
1.0 | 1 | 2026 | The Ghosts of Empires: Extracting Modularity from Interleaving-Based Proofs · Proc. ACM Program. Lang. 2026 |
Concurrent programming › concurrency verification
thread-modular reasoning |
1.0 | 1 | 2026 | The Ghosts of Empires: Extracting Modularity from Interleaving-Based Proofs · Proc. ACM Program. Lang. 2026 |
Methods — techniques the papers use, named apart from their topics
owicki-gries reasoning · 1.0ghost variable synthesis · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | The Ghosts of Empires: Extracting Modularity from Interleaving-Based ProofsabstractImplementation bugs threaten the soundness of algorithmic software verifiers. Generating correctness certificates for correct programs allows for efficient independent validation of verification results, and thus helps to reveal such bugs. Automatic generation of small, compact correctness proofs for concurrent programs is challenging, as the correctness arguments may depend on the particular interleaving, which can lead to exponential explosion. We present an approach that converts an interleaving-based correctness proof, as generated by many algorithmic verifiers, into a thread-modular correctness proof in the style of Owicki and Gries. We automatically synthesize ghost variables that capture the relevant interleaving information, and abstract away irrelevant details. Our evaluation shows that the approach is efficient in practice and generates compact proofs, compared to a baseline. Frank Schüssele, Matthias Zumkeller, Miriam Lagunes-Rochin, Dominik Klumpp |
Proc. ACM Program. Lang. | 3 |