Veröffentlichungen

@inproceedings{Baum2020,

title = {Fostering Collaboration of Academia and Industry by Open Source Software},

author = {David Baum and Pascal Kovacs and Richard Müller},

doi = {10.18420/SE2020_52},

year  = {2020},

date = {2020-01-01},

booktitle = {Software Engineering: Forschung-Innovation-Transfer},

address = {Innsbruck, Austria},

abstract = {In 2017 and 2018 we released two of our research prototypes as open source. We explain our motivation and concerns at that time and compare them with our actual experience. We also describe how open source releases enabled collaboration with industrial partners. Finally, we show how research projects can extend their funding through grants for open source software. We share our experiences with the initiative Google Summer of Code and show how we overcame bureaucratical hurdles and how our research has benefited from participating in this program.},

keywords = {academia, collaboration, Getaviz, industry, jQAssistant, jQAssistant dashboard, open source},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Muller2018,

title = {Towards an Open Source Stack to Create a Unified Data Source for Software Analysis and Visualization},

author = {Richard Müller and Dirk Mahler and Michael Hunger and Jens Nerche and Markus Harrer},

doi = {10.1109/VISSOFT.2018.00019},

year  = {2018},

date = {2018-01-01},

booktitle = {6th IEEE Working Conference on Software Visualization},

publisher = {IEEE},

address = {Madrid, Spain},

abstract = {The beginning of every software analysis and visualization process is data acquisition. However, there are various sources of data about a software system. The methods used to extract the relevant data are as diverse as the sources are. Furthermore, integration and storage of heterogeneous data from different software artifacts to form a unified data source are very challenging. In this paper, we introduce an extensible open source stack to take the first step to solve these challenges. We show its feasibility by analyzing and visualizing JUnit and provide answers regarding the schema, selection, and implementation of software artifacts' data.},

keywords = {D3, graph database, Java, JavaScript, jQAssistant, jQAssistant dashboard, Neo4j, open source, query, React, schema, software analysis, software visualization},

pubstate = {published},

tppubtype = {inproceedings}

}