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Improving Data Collection and Usage in Process Improvement: Insights from ASEE Workshop 2001

The ASEE Process Improvement Workshop 2001, featuring insights from Jeff S. Holmes of Motorola, highlighted critical issues related to in-process data collection. Frequent problems included defects, inspection sizes, and cumbersome software metrics systems that weren't effectively engineered. Inaccurate data recording affected estimation accuracy, schedules, staffing, and overall quality. Solutions discussed included designing smart metrics systems, simplifying data collection, and integrating various data sources. Emphasizing accessibility for all levels of management and especially developers is essential for capturing and utilizing data effectively.

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Improving Data Collection and Usage in Process Improvement: Insights from ASEE Workshop 2001

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  1. Data, Data, Everywhere... Jeff S. Holmes Motorola Fort Worth, TX ASEE Process Improvement Workshop 2001

  2. The Issues • Lots of In-Process Data Collected • Defect • Inspection • Size • Time • Software Metrics Measurement Systems • Inaccurate • Cumbersome • NOT ENGINEERED! ASEE Process Improvement Workshop 2001

  3. 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 ASEE Process Improvement Workshop 2001

  4. 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 ASEE Process Improvement Workshop 2001

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