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5. Rigorous implementation of quality control.
Formula for computing the metric for a change category is:
RECC
¼
effort spent on resolving CRS of a category
=
Total
effort Spent on resolving all change requests
Þ
100
Where, RECC is the metric for Relative Effort spent on a specific Change
Request Category.
The effort data for this metric can be collected from organizational timesheets
and the CR data can be collated from the CRR. There is no industry benchmark for
this metric. Therefore, we need to derive our own organizational benchmark.
When the actual metric varies from the benchmark, we carry out an analysis to
ascertain if the variance is due to random causes or assignable causes. If there are
any assignable causes, we can draw inferences for improving the process to be
implemented in future projects. We can derive this metric only after the project is
completed.
10.3.3 Quality Metrics
Quality metrics assist us in finding the level of quality in our deliverables as well
as to improve their quality level. Quality in a deliverable is the absence of the
defects or conversely, presence of defects in the deliverables diminishes their
quality. Therefore, we measure the level of quality using the defects discovered in
our deliverables. We compute the below quality metrics.
10.3.3.1 Defect Injection Rate
When a person completes an artifact and hands it over for quality control activities,
it is expected to be free from defects. But in practice, there would be some defects.
These defects left inside the artifact by the author are referred to as ''injected
defects.'' This is a relative metric and we derive the number of defects against the
number of requirements. We derive this metric from URS and the SRS. The
formula is:
DIR
¼
M
N
Where:
DIR
Defect Injection Rate metric
M
Number of defects uncovered in quality control activities
N
Number of requirements as established in the requirements traceability
matrix or the URS
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