I am a Postdoc at the University of Zurich, interested in human factors in software engineering, as well as in empirical methods, data mining and data analysis for software engineering purposes.
Through my research I strive to develop methods that allow for more inclusive and efficient software engineering processes.
To give software end-users a stronger voice, in my current work I study how end-users give feedback to developers and design/implement/evaluate methods for automatically processing this feedback. To this end, I combine techniques from data mining, data visualization and grounded theory.
So far I have analyzed data available in formal feedback channels, such as app stores and bug tracking systems, as well as in informal feedback channels, such as Twitter and Facebook. The developed methods are useful for the classification, summarization and prioritization of user feedback, as well as for the detection of diverse feedback.
I have also worked on the automatic extraction of software rationale and requirements for scientific software, as well as on the automatic analysis of developers' communication artifacts.