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Data, Data, Everywhere. Jeff S. Holmes Motorola Fort Worth, TX. The Issues. Lots of In-Process Data Collected Defect Inspection Size Time Software Metrics Measurement Systems Inaccurate Cumbersome NOT ENGINEERED!. The Effects. Estimation Accuracy Schedules Staffing Quality - PowerPoint PPT Presentation
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M ASEE Process Improvement Workshop 2001
Data, Data, Everywhere...
Jeff S. Holmes
Motorola
Fort Worth, TX
M ASEE Process Improvement Workshop 2001
The Issues
• Lots of In-Process Data Collected– Defect
– Inspection
– Size
– Time
• Software Metrics Measurement Systems– Inaccurate
– Cumbersome
– NOT ENGINEERED!
M ASEE Process Improvement Workshop 2001
The Effects
• Estimation Accuracy– Schedules
– Staffing
– Quality
• Data Not Accurately Recorded– If not used, they won’t capture it.
• Process Credibility Suffers– Just making a career.
– “Process work has no impact on earnings!” Wally
M ASEE Process Improvement Workshop 2001
Possible Solutions
• Design Smart Metrics Systems– Identify what you want to learn (GQM)
– Make collection systems simple
– Capture data non-intrusively
– Integrate different sources of data
• Allow Everyone to Use the Data– Upper management
– Middle management
– Especially, the developers