Demo Data from EDBT 2026 / reviewers in the wild / expert
David Bourque
dblp:167/0219
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Software engineering, systems software and programming languages · 1Graphics, computer vision, multimedia, augmented reality and games · 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 |
Empirical software engineering · 46% Software maintenance and evolution · 30% Program synthesis and code generation · 23% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Program synthesis and code generation
code summarization |
0.2 | 1 | 2015 | Leveraging Informal Documentation to Summarize Classes and Methods in Context · ICSE (2) 2015 |
Empirical software engineering › mining software repositories
informal documentation analysis |
0.2 | 1 | 2015 | Leveraging Informal Documentation to Summarize Classes and Methods in Context · ICSE (2) 2015 |
Empirical software engineering
mining software repositories |
0.2 | 1 | 2015 | Leveraging Informal Documentation to Summarize Classes and Methods in Context · ICSE (2) 2015 |
Software maintenance and evolution
program comprehension |
0.2 | 1 | 2015 | Leveraging Informal Documentation to Summarize Classes and Methods in Context · ICSE (2) 2015 |
Software maintenance and evolution
software documentation |
0.1 | 1 | 2015 | Leveraging Informal Documentation to Summarize Classes and Methods in Context · ICSE (2) 2015 |
Methods — techniques the papers use, named apart from their topics
text summarization · 0.2natural language processing · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Specular Streaks in StereoabstractWhen a compact light source illuminates a horizontal shiny ground plane at an oblique angle, the resulting highlight is vertically oriented and highly elongated. We refer to such highlights as specular streaks. Specular streaks occur commonly on wet roadways, especially at night, for example the reflections of street lamps or car headlights. Here we present a 3D model of specular streaks seen by a binocular observer. We show that specular streaks produce binocular disparities that are consistent with 3D near-vertical columns of light beneath the roadway. We validate this model with results on both synthetic and real images. Specular streaks are an important problem for vision-in-bad-weather, in particular, for autonomous driving systems or driver assistance systems that rely on stereo to estimate scene depth. Michael S. Langer, David Bourque |
ICPR | 2 |
| 2015 | Leveraging Informal Documentation to Summarize Classes and Methods in ContextabstractCritical information related to a software developer'scurrent task is trapped in technical developer discussions,bug reports, code reviews, and other software artefacts. Muchof this information pertains to the proper use of code elements(e.g., methods and classes) that capture vital problem domainknowledge. To understand the purpose of these code elements,software developers must either access documentation and onlineposts and understand the source code or peruse a substantialamount of text. In this paper, we use the context that surroundscode elements in StackOverflow posts to summarize the use andpurpose of code elements. To provide focus to our investigation,we consider the generation of summaries for library identifiersdiscussed in StackOverflow. Our automatic summarization approachwas evaluated on a sample of 100 randomly-selectedlibrary identifiers with respect to a benchmark of summariesprovided by two annotators. The results show that the approachattains an R-precision of 54%, which is appropriate given thediverse ways in which code elements can be used. Latifa Guerrouj, David Bourque, Peter C. Rigby |
ICSE (2) | 2 |