Software errors and complexity: an empirical investigation0
Communications of the ACM
The Detection of Fault-Prone Programs
IEEE Transactions on Software Engineering
Predicting Fault-Prone Software Modules in Telephone Switches
IEEE Transactions on Software Engineering
Predicting Fault Incidence Using Software Change History
IEEE Transactions on Software Engineering
Does Code Decay? Assessing the Evidence from Change Management Data
IEEE Transactions on Software Engineering
The distribution of faults in a large industrial software system
ISSTA '02 Proceedings of the 2002 ACM SIGSOFT international symposium on Software testing and analysis
An empirical evaluation of fault-proneness models
Proceedings of the 24th International Conference on Software Engineering
Reexamining the Fault Density-Component Size Connection
IEEE Software
A Metrics Suite for Object Oriented Design
IEEE Transactions on Software Engineering
Quantitative Analysis of Faults and Failures in a Complex Software System
IEEE Transactions on Software Engineering
An Empirical Analysis of Fault Persistence Through Software Releases
ISESE '03 Proceedings of the 2003 International Symposium on Empirical Software Engineering
Robust Prediction of Fault-Proneness by Random Forests
ISSRE '04 Proceedings of the 15th International Symposium on Software Reliability Engineering
Predicting the Location and Number of Faults in Large Software Systems
IEEE Transactions on Software Engineering
Mining metrics to predict component failures
Proceedings of the 28th international conference on Software engineering
Looking for bugs in all the right places
Proceedings of the 2006 international symposium on Software testing and analysis
Predicting fault-prone components in a java legacy system
Proceedings of the 2006 ACM/IEEE international symposium on Empirical software engineering
Data Mining
Data Mining Static Code Attributes to Learn Defect Predictors
IEEE Transactions on Software Engineering
Automating algorithms for the identification of fault-prone files
Proceedings of the 2007 international symposium on Software testing and analysis
Using Software Dependencies and Churn Metrics to Predict Field Failures: An Empirical Case Study
ESEM '07 Proceedings of the First International Symposium on Empirical Software Engineering and Measurement
Merits of using repository metrics in defect prediction for open source projects
FLOSS '09 Proceedings of the 2009 ICSE Workshop on Emerging Trends in Free/Libre/Open Source Software Research and Development
Software fault prediction tool
Proceedings of the 19th international symposium on Software testing and analysis
Defect prediction from static code features: current results, limitations, new approaches
Automated Software Engineering
Towards identifying software project clusters with regard to defect prediction
Proceedings of the 6th International Conference on Predictive Models in Software Engineering
On the value of learning from defect dense components for software defect prediction
Proceedings of the 6th International Conference on Predictive Models in Software Engineering
An analysis of developer metrics for fault prediction
Proceedings of the 6th International Conference on Predictive Models in Software Engineering
Programmer-based fault prediction
Proceedings of the 6th International Conference on Predictive Models in Software Engineering
Proceedings of the 2nd International Workshop on Emerging Trends in Software Metrics
Proceedings of the 2nd International Workshop on Emerging Trends in Software Metrics
Ownership, experience and defects: a fine-grained study of authorship
Proceedings of the 33rd International Conference on Software Engineering
Does measuring code change improve fault prediction?
Proceedings of the 7th International Conference on Predictive Models in Software Engineering
On the difficulty of computing the truck factor
PROFES'11 Proceedings of the 12th international conference on Product-focused software process improvement
Using the gini coefficient for bug prediction in eclipse
Proceedings of the 12th International Workshop on Principles of Software Evolution and the 7th annual ERCIM Workshop on Software Evolution
Don't touch my code!: examining the effects of ownership on software quality
Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering
Does adding manpower also affect quality?: an empirical, longitudinal analysis
Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering
BugCache for inspections: hit or miss?
Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering
An investigation on the feasibility of cross-project defect prediction
Automated Software Engineering
Ecological inference in empirical software engineering
ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
On the use of calling structure information to improve fault prediction
Empirical Software Engineering
Privacy and utility for defect prediction: experiments with MORPH
Proceedings of the 34th International Conference on Software Engineering
Bug prediction based on fine-grained module histories
Proceedings of the 34th International Conference on Software Engineering
Recalling the "imprecision" of cross-project defect prediction
Proceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering
Influence of confirmation biases of developers on software quality: an empirical study
Software Quality Control
Empirical evaluation of the effects of mixed project data on learning defect predictors
Information and Software Technology
How, and why, process metrics are better
Proceedings of the 2013 International Conference on Software Engineering
Distributed development considered harmful?
Proceedings of the 2013 International Conference on Software Engineering
Better cross company defect prediction
Proceedings of the 10th Working Conference on Mining Software Repositories
A study of cyclic dependencies on defect profile of software components
Journal of Systems and Software
| Hi-index | 0.00 |
Fault prediction by negative binomial regression models is shown to be effective for four large production software systems from industry. A model developed originally with data from systems with regularly scheduled releases was successfully adapted to a system without releases to identify 20% of that system's files that contained 75% of the faults. A model with a pre-specified set of variables derived from earlier research was applied to three additional systems, and proved capable of identifying averages of 81, 94 and 76% of the faults in those systems. A primary focus of this paper is to investigate the impact on predictive accuracy of using data about the number of developers who access individual code units. For each system, including the cumulative number of developers who had previously modified a file yielded no more than a modest improvement in predictive accuracy. We conclude that while many factors can "spoil the broth" (lead to the release of software with too many defects), the number of developers is not a major influence.