[Back]

S. Biffl, W. Sunindyo, T Moser:
"Semantic Integration of Heterogeneous Data Sources for Monitoring Frequent-Release Software Projects";
Talk: 4th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2010), Krakow, Poland; 2010-02-15 - 2010-02-18; in: "Proceedings of the 4th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2010)", L. Barolli, F. Xhafa, S. Vitabile, H. Hsu (ed.); IEEE Computer Society, (2010), ISBN: 978-0-7695-3967-6; 8 pages.

Open source software teams routinely develop complex
software products in frequent-release settings with rather
lightweight processes and project documentation. In this context
project a major challenge for data collection is how to
extract the relevant project management knowledge effectively
and efficiently from a wide range of software project data
sources, such as artifact versions, bug reports, and discussion
forums. In this paper we introduce a framework and tool support
for the semantic integration of data from a variety of data
sources to facilitate efficient data collection, even in projects
with frequent iterations. Based on data from real-world use
cases in open source projects we compare the efficiency of the
proposed framework with a traditional data warehouse approach.
Major result is that the proposed approach can make
data collection for project monitoring about 30% - 50% more
efficient, in particular, in contexts where heterogeneous data
sources change during the project.

semantic integration, project monitoring

http://publik.tuwien.ac.at/files/PubDat_185318.pdf