Demo Data from EDBT 2026 / reviewers in the wild / expert
Pierre Caserta
dblp:19/9697
· DBLP profile ↗
2ranked-venue papers
2as 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-authorGraphics, computer vision, multimedia, augmented reality and games · 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.
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 100% | |
| 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 |
|---|---|---|---|---|
Visualization and visual analytics
software visualization |
0.1 | 1 | 2011 | Visualization of the Static Aspects of Software: A Survey · IEEE Trans. Vis. Comput. Graph. 2011 |
Software maintenance and evolution
program comprehension |
0.0 | 1 | 2011 | Visualization of the Static Aspects of Software: A Survey · IEEE Trans. Vis. Comput. Graph. 2011 |
Methods — techniques the papers use, named apart from their topics
survey · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | JBInsTrace: A tracer of Java and JRE classes at basic-block granularity by dynamically instrumenting bytecode
Pierre Caserta, Olivier Zendra |
Sci. Comput. Program. | 1 |
| 2011 | Visualization of the Static Aspects of Software: A SurveyabstractSoftware is usually complex and always intangible. In practice, the development and maintenance processes are time-consuming activities mainly because software complexity is difficult to manage. Graphical visualization of software has the potential to result in a better and faster understanding of its design and functionality, thus saving time and providing valuable information to improve its quality. However, visualizing software is not an easy task because of the huge amount of information comprised in the software. Furthermore, the information content increases significantly once the time dimension to visualize the evolution of the software is taken into account. Human perception of information and cognitive factors must thus be taken into account to improve the understandability of the visualization. In this paper, we survey visualization techniques, both 2D- and 3D-based, representing the static aspects of the software and its evolution. We categorize these techniques according to the issues they focus on, in order to help compare them and identify the most relevant techniques and tools for a given problem. Pierre Caserta, Olivier Zendra |
IEEE Trans. Vis. Comput. Graph. | 1 |