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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. |