The influence of organizational structure on software quality

By N. Nagappan, Brendan Murphy, Victor R. Basili. 2008 ACM/IEEE 30th International Conference on Software Engineering, 2008

422 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Don't touch my code!: examining the effects of ownership on software quality (2011, background): “Many recent studies [6, 9, 26, 29] have shown that human factors play a significant role in the quality of software components.”
Cross-project defect prediction: a large scale experiment on data vs. domain vs. process (2009, unknown): “Also prior work by Nagappan and Ball [23] showed that relative code churn measures are significantly stronger predictors of defect density in the Windows Server 2003 system than absolute code measures.”
Software defect prediction using Bayesian networks (2012, background): “Furthermore, they also show that organizational metrics are better predictors of failure-proneness than the traditional metrics used so far like code churn, code complexity, code coverage, code dependencies, and pre-release defect measures (Nagappan et al. 2008).”
An Empirical Comparison of Model Validation Techniques for Defect Prediction Models (2017, background): “Since we preserve the original rate of defective modules in these samples (i.e., 21 percent), our samples are of 100, 300, 500, and 1,000 modules for an EPV value of 1, 3, 5, and 10, respectively (see Section 5.2 for details on sample size generation).”