VLDB 2026 Research / reviewers in the wild / expert
Chris Spandikow
dblp:19/8523
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 2
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 |
Software maintenance and evolution · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Electronic design automation · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software maintenance and evolution
program differencing |
0.1 | 1 | 2010 | A program differencing algorithm for verilog HDL · ASE 2010 |
Electronic design automation › hardware verification and test
hardware verification |
0.1 | 1 | 2010 | A program differencing algorithm for verilog HDL · ASE 2010 |
Methods — techniques the papers use, named apart from their topics
position-independent differencing · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Vdiff: a program differencing algorithm for Verilog hardware description language
Adam Duley, Chris Spandikow, Miryung Kim |
Autom. Softw. Eng. | 2 |
| 2010 | A program differencing algorithm for verilog HDLabstractDuring code review tasks, comparing two versions of a hardware design description using existing program differencing tools such as diff is inherently limited because existing program differencing tools implicitly assume sequential execution semantics, while hardware description languages are designed to model concurrent computation. We designed a position-independent differencing algorithm to robustly handle language constructs whose relative orderings do not matter. This paper presents Vdiff, an instantiation of this position-independent differencing algorithm for Verilog HDL. To help programmers reason about the differences at a high-level, Vdiff outputs syntactic differences in terms of Verilog-specific change types. We evaluated Vdiff on two open source hardware design projects. The evaluation result shows that Vdiff is very accurate, with overall 96.8% precision and 97.3% recall when using manually classified differences as a basis of comparison. Adam Duley, Chris Spandikow, Miryung Kim |
ASE | 2 |