Demo Data from EDBT 2026 / reviewers in the wild / expert
Joseph T. Burke
dblp:150/9067
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2014
—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 |
Software maintenance and evolution · 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
feature location |
0.2 | 1 | 2014 | Utilizing feature location techniques for feature addition and feature enhancement · ASE 2014 |
Software maintenance and evolution
software evolution |
0.2 | 1 | 2014 | Utilizing feature location techniques for feature addition and feature enhancement · ASE 2014 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Utilizing feature location techniques for feature addition and feature enhancementabstractAdditions and enhancements to software are prevalent issues within software development. When developers want to make enhancements to a piece of software they first have to build up an understanding of the relevant parts of the system. There are a number of challenges within this: where is the best place to add changes, what to reuse and identifying possible ripple effects. This research aims to investigate the utility of feature location techniques to address these challenges. Joseph T. Burke |
ASE | 1 |