Title :
Predicting build outcome with developer interaction in Jazz
Author :
Schröter, Adrian
Author_Institution :
Univ. of Victoria, Victoria, BC, Canada
Abstract :
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.
Keywords :
software metrics; software quality; IBM Jazz data; build outcome; developer defects; developer interaction; developer productivity; human aspect; social dependency; social dimensions; software build; software development; software productivity; software quality; technical dependency; technical dimensions; Data mining; Humans; Programming; Social network services; Software; Software engineering; Software measurement;
Conference_Titel :
Software Engineering, 2010 ACM/IEEE 32nd International Conference on
Conference_Location :
Cape Town
Print_ISBN :
978-1-60558-719-6
DOI :
10.1145/1810295.1810456