Demo Data from SIGIR 2026 / reviewers in the wild / expert
Pascal Roos
dblp:167/0175
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1 · 1 first-author
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 synthesis and code generation · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Program synthesis and code generation
code completion |
0.2 | 1 | 2015 | Fast and Precise Statistical Code Completion · ICSE (2) 2015 |
Program synthesis and code generation › code completion
statistical code completion |
0.2 | 1 | 2015 | Fast and Precise Statistical Code Completion · ICSE (2) 2015 |
Methods — techniques the papers use, named apart from their topics
smoothing · 0.2n-gram language model · 0.2beam search · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Fast and Precise Statistical Code CompletionabstractThe main problem we try to solve is API code completion which is both precise and works in real-time. We describe an efficient implementation of an N-gram language model combined with several smoothing methods and a completion algorithm based on beam search. We show that our system is both fast and precise using a thorough experimental evaluation. With optimal parameters we are able to find completions in milliseconds and the desired completion is in the top 3 suggestions in 89% of the time. Pascal Roos |
ICSE (2) | 1 |