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Record
Title
Automated Bug Assignment: Ensemble-based Machine Learning in Large Scale Industrial Contexts
Type
Journal Article
Publ. year
2015
Author/s
Jonsson, Leif; Borg, Markus; Broman, David; Sandahl, Kristian et al.
Department/s
Department of Computer Science; Software Engineering Research Group; ELLIIT: the Linköping-Lund initiative on IT and mobile communication
In LUP since
2016-04-01
Downloads

Total This Year This Month
1700 16 3
Downloads per country

United States of America 395 (23%)
India 210 (12%)
China 195 (11%)
Germany 176 (10%)
Sweden 114 (7%)
Russian Federation 50 (3%)
France 40 (2%)
United Kingdom of Great Britain and Northern Ireland 35 (2%)
Ukraine 30 (2%)
Brazil 28 (2%)
Turkiye 26 (2%)
Japan 25 (1%)
Iran 25 (1%)
Indonesia 24 (1%)
Slovakia 22 (1%)
Canada 20 (1%)
Pakistan 20 (1%)
South Korea 18 (1%)
Unknown 14 (1%)
Czechia 12 (1%)
Taiwan (China) 10 (1%)
Spain 10 (1%)
Netherlands (Kingdom of the) 9 (1%)
Colombia 9 (1%)
Sri Lanka 8 (0%)
Israel 8 (0%)
Jordan 8 (0%)
Hong Kong (China) 8 (0%)
Singapore 7 (0%)
Australia 7 (0%)
Ethiopia 7 (0%)
Ireland 6 (0%)
Malaysia 6 (0%)
Belgium 5 (0%)
Italy 5 (0%)
Saudi Arabia 5 (0%)
Hungary 5 (0%)
Greece 5 (0%)
Finland 5 (0%)
Viet Nam 5 (0%)
Poland 5 (0%)
Kenya 4 (0%)
Bangladesh 4 (0%)
Nigeria 4 (0%)
Switzerland 4 (0%)
Argentina 4 (0%)
Chile 4 (0%)
Isle of Man 3 (0%)
Nepal 3 (0%)
Romania 3 (0%)
Austria 3 (0%)
Denmark 3 (0%)
Lithuania 2 (0%)
Thailand 2 (0%)
Tunisia 2 (0%)
United Arab Emirates 2 (0%)
Oman 2 (0%)
Asia-Pacific location 2 (0%)
Egypt 2 (0%)
Sudan 2 (0%)
Mauritius 2 (0%)
Portugal 2 (0%)
South Africa 2 (0%)
Norway 1 (0%)
Liechtenstein 1 (0%)
Luxembourg 1 (0%)
Bolivia 1 (0%)
Uruguay 1 (0%)
Eritrea 1 (0%)
Serbia 1 (0%)
Azerbaijan 1 (0%)
Costa Rica 1 (0%)
Albania 1 (0%)
Mexico 1 (0%)
Bulgaria 1 (0%)
Philippines 1 (0%)
Rwanda 1 (0%)
Peru 1 (0%)
Estonia 1 (0%)
About
The download statistics shown here have been collected since the launch of LUP in October 2007 and are updated every night. Statistics are available for all records with open access fulltexts. Efforts have been made to exclude downloads by robots and track irregular download activities.

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Disclaimer
The information on downloads per country is based on the geolocation of IP addresses and may not be completely accurate. The statistics presented here may also change retroactively when the calculation process is improved to provide more accurate results.

Statistics Last Updated
Fri Jul 12 08:58:54 2024