Demo Data from EDBT 2026 / reviewers in the wild / expert
Luke Swart
dblp:174/2041
· DBLP profile ↗
1ranked-venue papers
0as 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
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 · 56% Empirical software engineering · 44% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Empirical software engineering
mining software repositories |
0.2 | 1 | 2015 | Development History Granularity Transformations (N) · ASE 2015 |
Software maintenance and evolution
software evolution |
0.1 | 1 | 2015 | Development History Granularity Transformations (N) · ASE 2015 |
Methods — techniques the papers use, named apart from their topics
granularity transformation · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Development History Granularity Transformations (N)abstractDevelopment histories can simplify some software engineering tasks, butdifferent tasks require different history granularities. For example, a history that includes every edit that resulted in compiling code is needed when searching for the cause of a regression, whereas a history that contains only changes relevant to a feature is needed for understanding the evolution of the feature. Unfortunately, today, both manual and automated history generation result in a single-granularity history. This paper introduces the concept of multi-grained development history views and the architecture of Codebase Manipulation, a tool that automatically records a fine-grained history and manages its granularity by applying granularity transformations. Kivanç Muslu, Luke Swart, Yuriy Brun, Michael D. Ernst |
ASE | 2 |