Research Article
Predicting Defects Using Information Intelligence Process Models in the Software Technology Project
Table 1
Project data values.
| | | | Overall testing defect density | Technology experience (in months) | Design review issues by size |
| 0.101 | 32 | 82.000 | 0.110 | 36 | 72.000 | 0.090 | 34 | 80.000 | 0.113 | 33 | 73.000 | 0.124 | 26 | 55.000 | 0.123 | 22 | 62.000 | 0.134 | 23 | 66.000 | 0.142 | 34 | 69.000 | 0.125 | 36 | 68.000 | 0.151 | 19 | 65.000 | 0.099 | 35 | 90.000 | 0.020 | 41 | 90.000 | 0.031 | 43 | 92.000 | 0.018 | 50 | 93.000 | 0.073 | 41 | 90.000 | 0.074 | 43 | 89.000 | 0.121 | 36 | 74.000 | 0.113 | 30 | 82.000 | 0.121 | 24 | 56.000 | 0.332 | 7 | 43.000 | 0.520 | 8 | 32.000 | 0.490 | 9 | 22.000 | 0.099 | 42 | 97.000 | 0.085 | 39 | 87.000 | 0.650 | 11 | 22.000 |
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