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Summary
Bugs of task
neuroscience-modeling
Total bugs:
5
Open bugs:
3
Fixed bugs:
2
Brain-computer interface 0 (0)
Biology 14 (241)
Chemistry 79 (822)
Data acquisition 55 (244)
Data acquisition development 10 (126)
Data management 53 (522)
Devices 7 (108)
Distributed computing 68 (660)
Economics 30 (114)
Electrophysiology 17 (61)
Engineering 82 (830)
Engineering-dev 42 (451)
Financial engineering 0 (0)
Geography 76 (580)
Geometry 4 (21)
High energy physics 6 (102)
High energy physics (devel) 16 (191)
Image analysis 6 (90)
Image analysis development 32 (201)
Linguistics 93 (392)
Logic 41 (282)
Machine learning 45 (351)
Mathematics 248 (2114)
Mathematics-dev 163 (1560)
Meteorology 88 (555)
Meteorology-dev 205 (908)
Nanoscale physics 327 (2454)
Nanoscale physics development 136 (1383)
Cognitive neuroscience 24 (126)
Neuroscience datasets 0 (0)
Modeling of neural systems 3 (42)
Numerical computation 131 (1212)
Physics 82 (846)
Physics-dev 32 (302)
Presentation 89 (732)
Psychophysics 18 (198)
Robotics 121 (484)
Robotics-dev 19 (157)
Simulations 35 (376)
Social 0 (0)
Statistics 54 (365)
Tools 17 (87)
Typesetting 290 (1938)
Viewing 318 (1903)
Viewing-dev 67 (607)
Workflow 24 (162)
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Summary bugs page of task Modeling of neural systemsConsider looking into bugs of this task*
Open bugs in dependent packages
1 serious, 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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