Investigating data quality problems in the PSP
SIGSOFT '98/FSE-6 Proceedings of the 6th ACM SIGSOFT international symposium on Foundations of software engineering
Effort estimation and prediction of object-oriented systems
Journal of Systems and Software
Estimation of effort and complexity: an object-oriented case study
Journal of Systems and Software
Predicting Fault Incidence Using Software Change History
IEEE Transactions on Software Engineering
Applying meta-analytical procedures to software engineering experiments
Journal of Systems and Software
The prediction of faulty classes using object-oriented design metrics
Journal of Systems and Software
An Empirical Method for Selecting Software Reliability Growth Models
Empirical Software Engineering
Implementing Effective Software Metrics Programs
IEEE Software
Quantitative Analysis of Faults and Failures in a Complex Software System
IEEE Transactions on Software Engineering
Proceedings of the 25th International Conference on Software Engineering
What We Have Learned About Fighting Defects
METRICS '02 Proceedings of the 8th International Symposium on Software Metrics
A Light-Weight Process for Capturing and Evolving Defect Reduction Experience
ICECCS '02 Proceedings of the Eighth International Conference on Engineering of Complex Computer Systems
Collecting, Integrating and Analyzing Software Metrics and Personal Software Process Data
EUROMICRO '03 Proceedings of the 29th Conference on EUROMICRO
Test-Driven Development as a Defect-Reduction Practice
ISSRE '03 Proceedings of the 14th International Symposium on Software Reliability Engineering
Cost, quality and user satisfaction of software products: an empirical analysis
CASCON '93 Proceedings of the 1993 conference of the Centre for Advanced Studies on Collaborative research: software engineering - Volume 1
Empirical Software Engineering
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This article discusses whether using warnings generated by the GNU C++ compiler can be used effectively to identify source code files that are likely to be error prone. We analyze five industrial projects written in C++ and belonging to the telecommunication domain. We find a significant positive correlation between the number of compiler warnings and the number of source files changes. We use such correlation to conclude that compiler warnings may be used as an indicator for the presence of software defects in source code. The result of this research is useful for finding defect-prone modules in newer projects, which lack change history.