Skip to main content

Table 6 Requirements for a measure to be used in SPC

From: A strategy for preparing software organizations for statistical process control

R1. The measure must be aligned to organizational or project goals

R2. The measure must be able to support decision making

R3. The measure must be able to support software process improvement

R4. The measure must be associated to a critical process

R5. The measure must be able to describe the process performance

R6. The measure must have appropriate granularity level

R7. The operational definition of the measure must be correct and satisfactory

R8. The correlated measures to the measure must be defined

R9. The measure must be correctly normalized (if applicable)

R10. It must be possible to normalize the measure (if applicable)

R11. The criteria for grouping data to the measure analysis must be defined

R12. The measurement data related to the measure must include context information

R13. The measurement data related to the measure must be accessible and retrievable

R14. The measure must be related to the process or activity in which the measurement is carried out

R15. The measure should not consider aggregated data

R16. It must be possible to identify the process definition in which data were collected for the measure

R17. The collected data for the measure must be consistent

R18. The collected data for the measure must be precise

R19. There is no lost data for the measure or the amount of lost data does not compromise the analysis

R20. The amount of collected data is sufficient