Veröffentlichungen

@inproceedings{Muller2015a,

title = {Past, Present, and Future of 3D Software Visualization - A Systematic Literature Analysis},

author = {Richard Müller and Dirk Zeckzer},

doi = {10.5220/0005325700630074},

year  = {2015},

date = {2015-01-01},

booktitle = {6th International Conference on Visualization Theory and Applications},

pages = {63--74},

address = {Berlin, Germany},

abstract = {The ongoing 2D vs. 3D research debate from information visualization also affects software visualization. There are many 2D, 3D, and combinations of 2D and 3D visualizations for software representing its structure, behavior, or evolution. This study contributes findings to this debate and presents the results of analyzing the applications of 3D in software visualization with the objectives to outline the state-of-the-art, to reveal trends, and to identify research gaps. The analysis combined a systematic mapping study to get an overview and a systematic literature review to gain deeper insights. The relevant papers were identified by three different search strategies (manual browsing, keyword, and backward search). Starting with a set of 4386 publications from the fields of information and software visualization 155 relevant papers dealing with 2D & 3D or 3D software visualizations were identified. These papers were analyzed according to dimensionality, aspect, year, evaluation method, and application of the third dimension. In a nutshell, the majority of 3D software visualizations represents the structural aspect, is either evaluated using case studies showing working examples or not evaluated at all, and applies a 2D layout using the third dimension for displaying software metrics.},

keywords = {3D, literature study, software visualization},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Muller2014b,

title = {How to Master Challenges in Experimental Evaluation of 2D versus 3D Software Visualizations},

author = {Richard Müller and Pascal Kovacs and Jan Schilbach and Dirk Zeckzer},

doi = {10.1109/3DVis.2014.7160097},

year  = {2014},

date = {2014-01-01},

booktitle = {IEEE VIS 2014 International Workshop on 3DVis: Does 3D really make sense for Data Visualization?},

address = {Paris, France},

abstract = {Software visualizations in 3D and virtual reality are an interesting and debated research topic in academia. However, the benefits and drawbacks of 3D software visualizations in immersive environments compared to its 2D counterparts are not very well understood due to the lack of empirical evaluations. The challenge is to plan valid experiments with analogous 2D and 3D visualization techniques, while avoiding various influence factors and minimizing the threats to validity. In this paper, we present an experiment as part of a series using a structured approach to meet these challenges.},

keywords = {2D, 3D, controlled experiment, software visualization, virtual reality},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Muller2014a,

title = {A Structured Approach for Conducting a Series of Controlled Experiments in Software Visualization},

author = {Richard Müller and Pascal Kovacs and Jan Schilbach and Ulrich Eisenecker and Dirk Zeckzer and Gerik Scheuermann},

doi = {10.5220/0004835202040209},

year  = {2014},

date = {2014-01-01},

booktitle = {5th International Conference on Visualization Theory and Applications},

pages = {204--209},

address = {Lisbon, Portugal},

abstract = {In the field of software visualization controlled experiments are an important instrument to investigate the specific reasons, why some software visualizations excel the expectations on providing insights and ease task solving while others fail doing so. Despite this, controlled experiments in software visualization are rare. A reason for this is the fact that performing such evaluations in general, and particularly performing them in a way that minimizes the threats to validity, is hard to accomplish. In this paper, we present a structured approach on how to conduct a series of controlled experiments in order to give empirical evidence for advantages and disadvantages of software visualizations in general and of 2D vs. 3D software visualizations in particular.},

keywords = {3D, controlled experiment, evaluation, software visualization},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Muller2011a,

title = {Identifikation der Potenziale dreidimensionaler Softwarevisualisierung - Zielstellung und Vorgehen},

author = {Richard Müller},

editor = {Ralf Reussner and Alexander Pretschner and Stefan Jähnichen},

url = {https://dl.gi.de/handle/20.500.12116/19899},

year  = {2011},

date = {2011-01-01},

booktitle = {Software Engineering 2011 - Workshopband},

pages = {291--296},

publisher = {Gesellschaft für Informatik},

address = {Bonn},

abstract = {Die Softwarevisualisierung ist ein wesentlicher Bestandteil der ingenieurmäßigen Softwareentwicklung. Sie macht statische, dynamische und evolutionäre Aspekte von Softwareartefakten in den verschiedenen Phasen des Softwarelebenszyklus sichtbar. Mithilfe von aufgaben- und rollenspezifischen Sichten kann die Software schneller verstanden und ihr Entwicklungsprozess besser gesteuert und kontrolliert werden. Das zentrale Ziel der Arbeit liegt in der Optimierung des Softwareentwicklungsprozesses, indem Nutzenpotenziale der dreidimensionalen Softwarevisualisierung für einzelne Aufgaben dieses Prozesses identifiziert werden. Der tatsächliche Nutzen dieser Potenziale soll dann theoretisch und empirisch überprüft werden und neue Erkenntnisse für Wissenschaft und Praxis liefern.},

keywords = {3D, software visualization},

pubstate = {published},

tppubtype = {inproceedings}

}