Collecting and categorizing software error data in an industrial environment
Journal of Systems and Software - Special issue on the fifth Minnowbrook workshop on software performance evaluation
Software testing techniques (2nd ed.)
Software testing techniques (2nd ed.)
Applied software measurement: assuring productivity and quality
Applied software measurement: assuring productivity and quality
Orthogonal Defect Classification-A Concept for In-Process Measurements
IEEE Transactions on Software Engineering - Special issue on software measurement principles, techniques, and environments
A case study in root cause defect analysis
Proceedings of the 22nd international conference on Software engineering
Testing Computer Software
Learning from Our Mistakes with Defect Causal Analysis
IEEE Software
An Industrial Case Study of the Verification and Validation Activities
METRICS '03 Proceedings of the 9th International Symposium on Software Metrics
De-motivators for software process improvement: an analysis of practitioners' views
Journal of Systems and Software
GUITAR: an innovative tool for automated testing of GUI-driven software
Automated Software Engineering
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Software quality improvement initiatives are frequently attempted inside major software development companies. These initiatives often face difficulty motivating managers and developers. Yet the success of these improvement initiatives is directly related to receiving support from them. A defect-driven improvement process is proposed, aiming to improve the adoption of techniques by these key groups. The process is based on using defect data to identify issues in the current development process. ABB has used this process to focus and motivate change in three major development organizations around the world. Results show that this process yields measurable improvements in organizations that have been reluctant to change in the past.