September 13, 2018: Thomas Zimmermann – Software Productivity Decoded: How Data Science helps to Achieve More
Date: September 13, 2018
Place: Senate Chambers, Ross N940
Focus Session: LAS 3033, 12:30 – 2:30
Graduate students and postdocs who wish to attend the focus session should send the IC@L Admin, Ms Cimoan Atkins (firstname.lastname@example.org), an email with their name, supervisor, and any dietary concerns – (lunch will be provided).
Title: Software Productivity Decoded: How Data Science helps to Achieve More
Thomas Zimmermann, Senior Researcher, Research in Software Engineering group at Microsoft Research, Redmond, USA
Many companies are looking into understanding and improving productivity of individual software developers as well as software teams. In this talk, I will motivate the need for data analytics in software teams and describe how data scientists work in a large software companies helping software teams to infer actionable insights. I will then show how data from software development can be used to learn more about the productivity of organizations, teams, and individuals and help them to become more effective in building software.
Thomas Zimmermann is a Senior Researcher in the Research in Software Engineering group at Microsoft Research, Redmond, USA. His research interests include software productivity, data science, recommender systems, and games research. He is best known for his research on systematic mining of software repositories to conduct empirical studies and to build tools to support developers and managers. He is currently General Chair for ASE 2019 and Program Co-Chair for ESEC/FSE 2020. He is Co-Editor in Chief of the Empirical Software Engineering journal and serves on the editorial boards of several journals, including the IEEE Transactions on Software Engineering. He received his PhD in 2008 from Saarland University in Germany.