Table 1 Measurement related factors that positively influence SPC implementation
From: A strategy for preparing software organizations for statistical process control
P1. Centralized data storage |
P2. Automatic data collection |
P3. Definition of criteria for grouping data that considers the projects characteristics |
P4. Existence and integrated use of process and product measures |
P5. Existence of measures able to support decision making |
P6. Identification of relationships between measures |
P7. Existence of at least twenty collected data for measures that will be used in SPC |
P8. Existence of measures related to activities able to produce tangible items |
P9. Existence of measures related to critical processes |
P10. Existence of measures related to all phases of projects process |
P11. Definition of measures with clear and known intended use |
P12. Existence of measures for project monitoring that can also be used to describe process performance |
P13. Existence of measures that can be normalized and existence of the measures required for normalization, in order to allow comparisons |
P14. Identification of homogeneous data groups |
P15. Identification of the process or activity in which measures must be collected |