Software quality assurance & management
Software quality assurance & management
Software quality assurance
Managing the software process
Applied software measurement: assuring productivity and quality
Applied software measurement: assuring productivity and quality
Practical software metrics for project management and process improvement
Practical software metrics for project management and process improvement
Effective methods for software testing
Effective methods for software testing
A quantitative approach to software management: the AMI handbook
A quantitative approach to software management: the AMI handbook
Inspections as an up-front quality technique
Handbook of software quality assurance (3rd ed.)
Software Metrics: A Rigorous Approach
Software Metrics: A Rigorous Approach
Metrics and Models in Software Quality Engineering
Metrics and Models in Software Quality Engineering
Software Inspection
The Importance of Life Cycle Modeling to Defect Detection and Prevention
STEP '02 Proceedings of the 10th International Workshop on Software Technology and Engineering Practice
Results from introducing component-level test automation and test-driven development
Journal of Systems and Software - Special issue: Selected papers from the 11th Asia Pacific software engineering conference (APSEC 2004)
A model for software rework reduction through a combination of anomaly metrics
Journal of Systems and Software
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Software metrics are numerous and varied, but they are typically disjoint and seldom directly support defect causal analysis. Diagnosing problems in the development process is certainly possible with disjoint metrics, but the task is greatly simplified if at least a subset of the metrics used are both applicable throughout the development cycle and oriented towards causal analysis of process deficiencies. This paper describes one such set of metrics, the integration of phase containment metrics with a modified defect typology drawn from the traditional inspection checklist. The result is a defect typology that identifies not only coding errors but deficiencies in the procedures used to develop and qualify the product.