%0 Conference Proceedings %B 2017 IEEE 12th International Conference on Global Software Engineering (ICGSE) %D 2017 %T Developer Turnover in Global, Industrial Open Source Projects: Insights from Applying Survival Analysis %A Bin Lin %A Gregorio Robles %A Serebrenik, Alexander %K survival analysis %X Large open source software projects often have a globally distributed development team. Studies have shown developer turnover has a significant impact on the project success. Frequent developer turnover may lead to loss of productivity due to lacking relevant knowledge and spending extra time learning how projects work. Thus, lots of attention has been paid to which factors are related to developer retention; however, few of them focus on the impact of activities of individual developers. In this paper, we study five open source projects from different organizations and examine whether developer turnover is affected by when they start contributing and what types of contributions they are making. Our study reveals that developers have higher chances to survive in software projects when they 1) start contributing to the project earlier; 2) mainly modify instead of creating files; 3) mainly code instead of dealing with documentations. Our results also shed lights on the potential approaches to improving developer retention. %B 2017 IEEE 12th International Conference on Global Software Engineering (ICGSE) %P 66-75 %8 05/2017 %0 Conference Proceedings %B 12th Working Conference on Mining Software Repositories (MSR 2015) %D 2015 %T A Data Set for Social Diversity Studies of GitHub Teams %A Vasilescu, Bogdan %A Serebrenik, Alexander %A Filkov, Vladimir %K ghtorrent %K github %X Like any other team oriented activity, the software development process is effected by social diversity in the programmer teams. The effect of team diversity can be significant, but also complex, especially in decentralized teams. Discerning the precise contribution of diversity on teams’ effectiveness requires quantitative studies of large data sets. Here we present for the first time a large data set of social diversity attributes of programmers in GITHUB teams. Using alias resolution, location data, and gender inference techniques, we collected a team social diversity data set of 23,493 GITHUB projects. We illustrate how the data set can be used in practice with a series of case studies, and we hope its availability will foster more interest in studying diversity issues in software teams. %B 12th Working Conference on Mining Software Repositories (MSR 2015) %I IEEE %8 05/2015 %U http://www.win.tue.nl/~aserebre/cr-msr-data-15.pdf %> https://flosshub.org/sites/flosshub.org/files/cr-msr-data-15.pdf