data, data, everywhere

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

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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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Page 1: Data, Data, Everywhere

M ASEE Process Improvement Workshop 2001

Data, Data, Everywhere...

Jeff S. Holmes

Motorola

Fort Worth, TX

Page 2: Data, Data, Everywhere

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!

Page 3: Data, Data, Everywhere

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

Page 4: Data, Data, Everywhere

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