Demo Data from VLDB 2026 / reviewers in the wild / expert
Sidney Levine
dblp:381/0172
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none
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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computing education · 100% | |
| Theoretical computer science
1 paper |
Logic in computer science · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computing education › computer science curriculum
formal methods education |
0.8 | 1 | 2024 | Forge: A Tool and Language for Teaching Formal Methods · Proc. ACM Program. Lang. 2024 |
Logic in computer science
formal specification |
0.2 | 1 | 2024 | Forge: A Tool and Language for Teaching Formal Methods · Proc. ACM Program. Lang. 2024 |
Methods — techniques the papers use, named apart from their topics
visualization · 1.5testing features · 1.5language design · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Forge: A Tool and Language for Teaching Formal MethodsabstractThis paper presents the design of Forge , a tool for teaching formal methods gradually. Forge is based on the widely-used Alloy language and analysis tool, but contains numerous improvements based on more than a decade of experience teaching Alloy to students. Although our focus has been on the classroom, many of the ideas in Forge likely also apply to training in industry. Forge offers a progression of languages that improve the learning experience by only gradually increasing in expressive power. Forge supports custom visualization of its outputs, enabling the use of widely-understood domain-specific representations. Finally, Forge provides a variety of testing features to ease the transition from programming to formal modeling. We present the motivation for and design of these aspects of Forge, and then provide a substantial evaluation based on multiple years of classroom use. Tim Nelson, Ben Greenman, Siddhartha Prasad, Tristan Dyer, Ethan Bove, Qianfan Chen, Charles Cutting, Thomas Del Vecchio, Sidney Levine, Julianne Rudner, Ben Ryjikov, Alexander Varga, Andrew Wagner, Luke West, Shriram Krishnamurthi |
Proc. ACM Program. Lang. | 9 |