Table 2 Measurement related factors that negatively influence SPC implementation

N1. Inconsistent measurements

N2. Data grouping containing data from projects that are not similar

N3. Aggregate data that cannot be disaggregate

N4. Lost measurement data

N5. Deficient operational definition of measures

N6. Insufficient amount of collected data

N7. Insufficiency or absence of measurement context information

N8. Insufficiency or absence of measures that describe process performance

N9. Measures with inappropriate granularity level

N10. Insufficiency or absence of correlated measures

N11. Measures not aligned to organizational or project goals

N12. Measures incorrectly normalized

N13. Poorly structured measurement repository

N14. Data collection for a measure occurring in different moments in the projects, i.e., for each project, the same measure is collected in different moments

N15. Ambiguous measurement data

N16. Measurement data stored in different and not integrated sources

N17. Data collected for a measure with different granularity levels

N18. Measures related to too long processes (even if the granularity level is suitable, the measurement collection frequency is low)

N19. Use of traditional control measures instead of process performance measures

N20. Incorrect measurement data