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Summary
Bugs of task
neuroscience-modeling
Total bugs:
3
Open bugs:
3
Fixed bugs:
0
Brain-computer interface 0 (0)
Biology 15 (221)
Chemistry 85 (861)
Data acquisition 57 (267)
Data acquisition development 18 (282)
Data management 51 (441)
Devices 6 (57)
Distributed computing 69 (606)
Economics 30 (116)
Electrophysiology 14 (35)
Engineering 78 (752)
Engineering-dev 39 (397)
Financial engineering 0 (0)
Geography 79 (513)
Geometry 5 (31)
High energy physics 6 (87)
High energy physics (devel) 19 (206)
Image analysis 5 (45)
Image analysis development 29 (162)
Linguistics 93 (359)
Logic 42 (300)
Machine learning 59 (611)
Mathematics 246 (2039)
Mathematics-dev 161 (1530)
Meteorology 95 (622)
Meteorology-dev 209 (937)
Nanoscale physics 321 (2349)
Nanoscale physics development 137 (1344)
Cognitive neuroscience 26 (140)
Neuroscience datasets 0 (0)
Modeling of neural systems 3 (27)
Numerical computation 123 (1025)
Physics 83 (870)
Physics-dev 31 (270)
Presentation 88 (729)
Psychophysics 16 (173)
Robotics 118 (478)
Robotics-dev 18 (162)
Simulations 39 (404)
Social 0 (0)
Statistics 57 (399)
Tools 15 (63)
Typesetting 289 (1935)
Viewing 312 (1822)
Viewing-dev 66 (602)
Workflow 27 (173)
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Summary bugs page of task Modeling of neural systemsTask is in good shape*
Open bugs in dependent packages
1 important, 1 normal
Open bugs in suggested packages
1 normal
Done bugs
*To estimate the overall status of the packages in the dependencies of
a metapackage a weighted severity is calculated. Done bugs are ignored and bugs in dependent and
recommended packages are weighted by factor three compared to suggested packages. Release critical
bugs have a much larger weight than important, while the contribution of normal bugs is even smaller
and minor bugs have a very small weight. Wishlist bugs are ignored in this calculation. The resulting
sum is compared to some boundaries to find a verbal form. The actual numbers need some adjustment
to make real sense - this evaluation method is in testing phase.
The severities of bugs are weighted as follows:
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