seven core metrics
TRANSCRIPT
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Goals of Software Metrics
An accurate assessment of progress to date.
Insight into the quality of the evolving software product.
A basis for estimating the cost and schedule for completion with increasing accuracy over time.
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Seven Core Metrics
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Metrics Characteristics
They should be simple, objective, easy to collect, easy to interpret, and hard to misinterpret.
Collection can be automated and non-intrusive.
Assessment is continuous and non-subjective.
They are useful to both management and engineering personnel for communicating progress and quality in a consistent format.
Their fidelity improves across the life cycle.
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Three Basic Management Metrics
Technical progress Financial status Staffing progress
Financial and staffing metrics are easy. They always have been easy. The real problem is to measure technical progress with objectivity.
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Typical Project Progress
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Three Progress Metrics
The progress can be seen as…. Software architecture team:
number of use cases demonstrated. Software development team:
number of source lines of code under configuration management
number of change orders closed Software assessment team:
Number of change orders opened Test hours executed Evaluation criteria met
Software management team: Milestones completed.
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Earned Value System
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Staffing Profile
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Staffing and Team Dynamics Metric:
percent staffed. Metric: staffing momentum
additions versus attrition. Glaring indicator of future trouble:
Unplanned attrition. Usually due to personnel dissatisfaction with management, lack of teamwork, or high probability of failure to meet objectives.
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Four Quality Indicators
Change traffic and stability Provides insight into stability, convergence
toward stability, predictability of completion Breakage and Modularity
Breakage: extent of change needed. Modularity: average breakage trend over time.
Rework and Adaptability Rework: amount of effort needed to fix. Adaptability: rework trend over time.
Maturity Average time between faults.
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Stability over Product Life Cycle
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Modularity over Life Cycle
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Adaptability over Life Cycle
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Maturity over Life Cycle
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Quality Indicator Characteristics They are derived from the evolving
products, not other artifacts. They provide insight into waste. They are dynamic for an iterative
process. Focus is on trends and changes in time.
Combination of current value and trends provide tangible indicators for effective management action.
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Metrics Evolution over Life Cycle
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Metrics Classes
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Comment on Metrics
Metrics usually display the effects of problems, not the underlying causes of problems. Reasoning and synthesis are required for solution.
Although measuring is useful, it doesn’t do any thinking for the decision makers. Value judgments can not be make by metrics;
they must be left to smarter entities such as software project managers.
However, metrics can provide data to help ask the right questions, understand the context, and make objective decisions.
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Metrics Automation – the Software Project Control Panel On-line version of status of artifacts.
Display panel that integrates data. A “dashboard”.
Display for – project manager (overall values) test manager (status of an upcoming release) Configuration Manager (change traffic) etc.
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Software Project Control Panel
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Summary for Project Control and Instrumentation Progress toward project goals and quality
of products must be measurable. The most useful metrics are extracted
from the evolving artifacts. Management and quality indicators must
be used continuously as project proceeds. Trends and status measures must be used
together. Technical progress is the most difficult
item to measure.