Demo Data from VLDB 2026 / reviewers in the wild / expert
Michael John Pacione
dblp:86/3810
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2004
—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 · 77% Program analysis · 23% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software maintenance and evolution
program comprehension |
0.0 | 1 | 2004 | Software Visualisation for Object-Oriented Program Comprehension · ICSE 2004 |
Software maintenance and evolution › program comprehension
software visualization |
0.0 | 1 | 2004 | Software Visualisation for Object-Oriented Program Comprehension · ICSE 2004 |
Program analysis
dynamic analysis |
0.0 | 1 | 2004 | Software Visualisation for Object-Oriented Program Comprehension · ICSE 2004 |
Program analysis
static analysis |
0.0 | 1 | 2004 | Software Visualisation for Object-Oriented Program Comprehension · ICSE 2004 |
Methods — techniques the papers use, named apart from their topics
information integration · 0.0abstraction · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2004 | Software Visualisation for Object-Oriented Program ComprehensionabstractSoftware visualisation is the process of modelling software systems for comprehension. The comprehension of software systems both during and after development is a crucial component of the software process. The complex interactions inherent in the object-oriented paradigm make visualisation a particularly appropriate comprehension technique, and the large volume of information typically generated during visualisation necessitates tool support. In order to address the disadvantages with current visualisation techniques, an approach is proposed that integrates abstraction, structural and behavioural perspectives, and statically and dynamically extracted information. The aim of this research is to improve the effectiveness of visualisation techniques for large-scale software understanding based on the use of abstraction. interrelated facets and the integration of statically and dynamically extracted information. Michael John Pacione |
ICSE | 1 |