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Pierre Caserta

dblp:19/9697 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Visualization and visual analytics
software visualization
0.112011
Visualization of the Static Aspects of Software: A Survey · IEEE Trans. Vis. Comput. Graph. 2011
Software maintenance and evolution
program comprehension
0.012011
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
YearPublicationVenuePosition
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 Survey
abstract
Software 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