address={Timisoara, Romania},
	att_abstract={{We investigate whether files in a large system that are modified by an 
individual developer consistently contain either more or fewer faults 
than the average of all files in the system.
The goal of the investigation is to determine whether information 
about which particular developer modified a file is able to improve 
defect predictions.
We also continue an earlier study to evaluate the use of counts of the 
number of developers who modified a file as predictors of the file's 
future faultiness. 
The results from this preliminary study indicate that adding 
information to a model about which particular developer modified a 
file is not likely to improve defect predictions.
The study is limited to a single large system, and its results may not 
hold more widely. 
The bug ratio is only one way of measuring the 'fault-proneness' of an 
individual programmer's coding, and we intend to investigate other 
ways of evaluating bug introduction by individuals. } },
	att_authors={to2675, ew1564, rb2582},
	att_copyright_notice={(c) ACM, 2010. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in The 6th International Conference on Predictive Models in Software Engineering {{, 2010-09-12}}},
	att_tags={negative binomial model,  bug ratio,  cumulative developers},
	author={Thomas Ostrand AND Elaine Weyuker AND Robert Bell},
	booktitle={Proc. PROMISE2010},
	institution={{6th International Conference on Predictive Models in Software Engineering}},
	title={{Programmer-based Fault Prediction}},