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Top : Software Reliability : Empirical Data and Metrics

Sources of Software Reliability datasets and empirical data.
  • Software Life Cycle Empirical/Experience Database (SLED) - The Software Life Cycle Empirical/Experience Database (SLED) was established to support the acquisition, maintenance, and dissemination of software empirical lifecycle data for research purposes and to support the improvement of the software development process. The SLED is organized into five data sets covering all phases and aspects of the software lifecycle:

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Gold Practices Homepage
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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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
  Access benefit data from software technical and management improvements including SEI CMMI, PSP/TSP, Cleanroom, Inspections, and Agile Development.

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