Megan Squire

Their research appears in the proceedings of OpenSym 2016, the 12th International Symposium on Open Collaboration, held in Berlin, Germany.

 

The professor of computing sciences won the "Best Data Showcase Award" at the 13th International Conference on Mining Software Repositories for her paper and longitudinal data set about software developers who use the Ruby programming language.

This article appears in the proceedings of the IEEE 37th International Conference on Software Engineering.

Their article appears in the edited volume "Open Source Systems: Adoption and Impact" following the 10th International Conference on Open Source Systems held in Florence, Italy

The paper is on how the open source software community of developers uses insults, double entendres, and gender-based stereotypes in their workplace dialogue.

 

Six female leaders in technology discuss the under-representation of women in technical roles, and what can be done to encourage participation by women

Megan Squire in the Department of Computing Sciences is the principal investigator for a three-year, $240,028 grant.

The first paper is on the new tools and artifacts used to study software development empirically, while the second paper describes how to use text mining techniques on the StackOverflow software development website.

The article presents an infrastructure for the replicable study of email archives.

The papers, presented at the 10th Mining Software Repositories Working Conference in San Francisco, describe two novel data sets collected, curated and freely donated to the empirical software engineering research community.