Splitting the organization and integrating the code: Conway's law revisited
Proceedings of the 21st international conference on Software engineering
Using Decision Trees to Predict the Certification Result of a Build
ASE '06 Proceedings of the 21st IEEE/ACM International Conference on Automated Software Engineering
CSCW '06 Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work
The influence of organizational structure on software quality: an empirical case study
Proceedings of the 30th international conference on Software engineering
Predicting defects using network analysis on dependency graphs
Proceedings of the 30th international conference on Software engineering
Predicting build failures using social network analysis on developer communication
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
Changeset based developer communication to detect software failures
Proceedings of the 2013 International Conference on Software Engineering
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Investigating the human aspect of software development is becoming prominent in current research. Studies found that the misalignment between the social and technical dimensions of software work leads to losses in developer productivity and defects. We use the technical and social dependencies among pairs of developers to predict the success of a software build. Using the IBM Jazz™ data we found information about developers and their social and technical relation can build a powerful predictor for the success of a software build. Investigating human aspects of software development is becoming prominent in current research. High misalignment between the social and technical dimensions of software work lowers productivity and quality.