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Summary
Bugs of task
highenergy-physics-dev
Total bugs:
19
Open bugs:
17
Fixed bugs:
2
Brain-computer interface 0 (0)
Biology 13 (177)
Chemistry 82 (795)
Data acquisition 55 (232)
Data acquisition development 17 (210)
Data management 56 (450)
Devices 4 (24)
Distributed computing 65 (535)
Economics 28 (142)
Electrophysiology 10 (29)
Engineering 82 (803)
Engineering-dev 76 (782)
Financial engineering 1 (15)
Geography 93 (700)
Geometry 4 (21)
High energy physics 6 (54)
High energy physics (devel) 17 (123)
Image analysis 5 (33)
Image analysis development 30 (147)
Linguistics 93 (370)
Logic 40 (252)
Machine learning 45 (430)
Mathematics 268 (2239)
Mathematics-dev 184 (1605)
Meteorology 107 (726)
Meteorology-dev 215 (906)
Nanoscale physics 317 (2426)
Nanoscale physics development 119 (1065)
Cognitive neuroscience 18 (79)
Neuroscience datasets 0 (0)
Modeling of neural systems 6 (27)
Numerical computation 132 (1065)
Physics 77 (729)
Physics-dev 33 (239)
Presentation 89 (726)
Psychophysics 11 (154)
Robotics 118 (502)
Robotics-dev 23 (213)
Simulations 50 (542)
Social 0 (0)
Statistics 58 (434)
Tools 12 (49)
Typesetting 301 (2033)
Viewing 320 (1847)
Viewing-dev 75 (777)
Workflow 26 (164)
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Summary bugs page of task High energy physics (devel)Immediately looking into bugs of the dependencies of this task is advised (123)*
Open bugs in dependent packages
1 serious, 1 important, 6 normal, 7 minor
Open bugs in suggested packages
1 normal, 1 wishlist
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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