Guest lecture by Dr. Ingo Scholtes (ETH Zürich)
Dr. Ingo Scholtes (ETH Zürich) will give a talk in the elite program's special lecture series. The talk will take place in room 3079 N in Augsburg.
When Network Science meets Software Engineering
The analysis of large relational data sets from the graph or network perspective has become a cornerstone of *data science*. It provides the theoretical foundation for knowledge discovery and pattern recognition algorithms which are the basis for information retrieval and recommender systems. Moreover, it has important applications in fields like sociology, the digital humanities, physics, or bioinformatics.
Motivating applications in socio-technical systems, in this lecture I will show how network-based data mining techniques can be used to study collaborative software development. Considering online tools used in Open Source Software communities, I particularly demonstrate how network analysis can help to (i) automatically filter bug reports, and (ii) assess the influence of social aspects on the productivity of software developer teams. These results demonstrate the potential of network-based methods to better understand the complex structure and dynamics of social organizations. At the same time, I will highlight fallacies and open challenges that arise in the analysis of increasingly high-dimensional, temporal and noisy data on social organizations, and I will outline how these challenges can be addressed.
Start: 2016-04-20 13:30