Orthogonal Defect Classification-A Concept for In-Process Measurements
IEEE Transactions on Software Engineering - Special issue on software measurement principles, techniques, and environments
An improved inspection technique
Communications of the ACM
In-Process Evaluation for Software Inspection and Test
IEEE Transactions on Software Engineering - Special issue on software reliability
Software inspection process
Metrics and Models in Software Quality Engineering
Metrics and Models in Software Quality Engineering
Software Inspection
Software Inspections: An Effective Verification Process
IEEE Software
Lessons from Three Years of Inspection Data
IEEE Software
Experiences with defect prevention
IBM Systems Journal
IEEE Transactions on Software Engineering
How to do inspections when there is no time
ICSE '01 Proceedings of the 23rd International Conference on Software Engineering
Proceedings of the 24th International Conference on Software Engineering
Qualitative observations from software code inspection experiments
CASCON '02 Proceedings of the 2002 conference of the Centre for Advanced Studies on Collaborative research
Empirical Performance Analysis of Computer-Supported Code-Reviews
ISSRE '97 Proceedings of the Eighth International Symposium on Software Reliability Engineering
(Quasi-)experimental studies in industrial settings
Lecture notes on empirical software engineering
The Development and Evaluation of Three Diverse Techniques for Object-Oriented Code Inspection
IEEE Transactions on Software Engineering
Task-directed software inspection
Journal of Systems and Software - Special issue: Applications of statistics in software engineering
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This paper proposes a statistical approach to the inspection checklist formal synthesis and improvement. The approach is based on a defect casual analysis and defect modeling. The defect model is developed using IBM's Orthogonal Defect Classification. The case study describes the steps and tool for the approach implementation. The advantages and disadvantages of both methods 驴empirical and statistical驴are discussed and compared. It is suggested that a statistical approach be used in conjunction with the empirical approach. The main advantage of the proposed technique is that it allows us to tune a checklist according to the most recent project experience and identify optimal checklist items even when a source document does not exist.