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SPC is about using control charts to manage software development efforts, in order to effect software process improvement. The practitioner of SPC tracks the variability of the process to be controlled. When that variability exceeds the range to be expected from natural causes, one then identifies and corrects assignable causes.


See also DACS Gold Practice Statistical Process Control.

  • Education and Training (1) - Courses, training products and other resources for learning about Statistical Process Control (SPC).

  • Literature (1) - A collection of electronic and hardcopy articles, white papers, books, conference proceedings, journals, and technical reports on Statistical Process Control (SPC).

  • Tools (1) - Software tools, spreadsheets and utilities that support Statistical Process Control (SPC).

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Acquisition Process Improvement
Architecture-First Approach
Assess Reuse Risks and Costs
Binary Quality Gates at the Inch-Pebble Level
Capture artifacts in rigorous, model-based notation
Commercial Specifications and Standards/Open Systems
Defect Tracking Against Quality Targets
Develop and Maintain a Life-cycle Business Case
Ensure Interoperability
Formal Inspections
Formal Risk Management
Goal-Question-Metric Approach
Integrated Product and Process Development
Manage Requirements
Metrics-based Scheduling
Model Based Testing
Plan for Technology Insertion
Requirements Trade-Off/Negotiation
Statistical Process Control
Track Earned Value
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