EDBT 2026 Demo / reviewers in the wild / expert
Rafaello Sanna
dblp:293/7134
· DBLP profile ↗
3ranked-venue papers
0as first author
3since 2021 · last 2025
0009-0009-7266-7422ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 2 · 2 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
2 papers |
Programming languages and type systems · 54% Program synthesis and code generation · 23% Software testing · 23% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Programming languages and type systems
language design |
0.9 | 1 | 2025 | Multi-stage Relational Programming · Proc. ACM Program. Lang. 2025 |
Programming languages and type systems › metaprogramming
multi-stage programming |
0.9 | 1 | 2025 | Multi-stage Relational Programming · Proc. ACM Program. Lang. 2025 |
Program synthesis and code generation
relational program synthesis |
0.9 | 1 | 2025 | Multi-stage Relational Programming · Proc. ACM Program. Lang. 2025 |
Software testing › fuzzing
greybox fuzzing |
0.7 | 1 | 2023 | Guiding Greybox Fuzzing with Mutation Testing · ISSTA 2023 |
Programming languages and type systems
logic programming |
0.3 | 1 | 2025 | Multi-stage Relational Programming · Proc. ACM Program. Lang. 2025 |
Methods — techniques the papers use, named apart from their topics
staging · 0.9relational interpretation · 0.9minikanren · 0.9mutation testing · 0.7greybox fuzzing · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Multi-stage Relational ProgrammingabstractWe transport multi-stage programming from functional to relational programming, with novel constructs to give programmers control over staging and non-determinism. We stage interpreters written as relations, in which the programs under interpretation can contain holes representing unknown expressions or values. By compiling the known parts without interpretive overhead and deferring interpretation to run time only for the unknown parts, we compound the benefits of staging (e.g., turning interpreters into compilers) and relational interpretation (e.g., turning functions into relations and synthesizing from sketches). We extend miniKanren with staging constructs and apply the resulting multi-stage language to relational interpreters for subsets of Racket and miniKanren as well as a relational recognizer for context-free grammars. We demonstrate significant performance gains across multiple synthesis problems, systematically comparing unstaged and staged computation, as well as indicatively comparing with an existing hand-tuned relational interpreter. Michael Ballantyne, Rafaello Sanna, Jason Hemann, William E. Byrd, Nada Amin |
Proc. ACM Program. Lang. | 2 |
| 2023 | Guiding Greybox Fuzzing with Mutation TestingabstractGreybox fuzzing and mutation testing are two popular but mostly independent fields of software testing research that have so far had limited overlap. Greybox fuzzing, generally geared towards searching for new bugs, predominantly uses code coverage for selecting inputs to save. Mutation testing is primarily used as a stronger alternative to code coverage in assessing the quality of regression tests; the idea is to evaluate tests for their ability to identify artificially injected faults in the target program. But what if we wanted to use greybox fuzzing to synthesize high-quality regression tests? Vasudev Vikram, Isabella Laybourn, Ao Li 0009, Nicole Nair, Kelton OBrien, Rafaello Sanna, Rohan Padhye |
ISSTA | 6 |
| 2021 | Fast Nonblocking Persistence for Concurrent Data StructuresabstractWe present a fully lock-free variant of our recent Montage system for persistent data structures. The variant, nbMontage, adds persistence to almost any nonblocking concurrent structure without introducing significant overhead or blocking of any kind. Like its predecessor, nbMontage is buffered durably linearizable: it guarantees that the state recovered in the wake of a crash will represent a consistent prefix of pre-crash execution. Unlike its predecessor, nbMontage ensures wait-free progress of the persistence frontier, thereby bounding the number of recent updates that may be lost on a crash, and allowing a thread to force an update of the frontier (i.e., to perform a sync operation) without the risk of blocking. As an extra benefit, the helping mechanism employed by our wait-free sync significantly reduces its latency. Performance results for nonblocking queues, skip lists, trees, and hash tables rival custom data structures in the literature - dramatically faster than achieved with prior general-purpose systems, and generally within 50% of equivalent non-persistent structures placed in DRAM. Wentao Cai 0002, Haosen Wen, Vladimir Maksimovski, Mingzhe Du, Rafaello Sanna, Shreif Abdallah, Michael L. Scott |
DISC | 5 |