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Table 7 Requirements for a measure to be used in SPC (Barcellos et al. 2013)

From: Investigating measures for applying statistical process control in software organizations

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 related to a critical process.
R5. The measure must be able to describe the process behavior.
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 for analysis must be defined.
R12. Data collected for the measure must include context information.
R13. Data collected for the measure must be accessible and retrievable.
R14. The measure should not consider aggregate data (or if it does, it should be possible to disaggregate them).
R15. Data collected for the measure must be consistent.
R16. Data collected for the measure must be precise.
R17. The amount of collected data must be enough for applying SPC techniques.