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  • Search: subject:"Bug Severity"
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Year of publication
Subject
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Bug severity 2 Data Mining 2 Data mining 2 Artificial intelligence 1 Artificial neural network 1 Bug Repositories 1 Bug Severity 1 Entropy 1 Expert system 1 Expertensystem 1 Feature selection 1 Forecasting model 1 Künstliche Intelligenz 1 Machine Learning 1 Machine learning 1 Neural networks 1 Neuronale Netze 1 Prognoseverfahren 1 Project management 1 Projektmanagement 1 Software 1 Summary Weight 1 TF-IDF 1 Text mining 1 cross project prediction 1 ensemble approach 1 text mining 1
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Online availability
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Undetermined 3
Type of publication
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Article 3
Type of publication (narrower categories)
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Article in journal 1 Aufsatz im Buch 1 Aufsatz in Zeitschrift 1 Book section 1
Language
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English 3
Author
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Sharma, Meera 2 Singh, V. B. 2 Anand, Sameer 1 Bibyan, Ritu 1 Jaiswal, Ajay 1 Kumari, Madhu 1 Misra, Sanjay 1
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Published in...
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International Journal of Open Source Software and Processes (IJOSSP) 1 Journal of information & knowledge management : JIKM 1 Strategic system assurance and business analytics 1
Source
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ECONIS (ZBW) 2 Other ZBW resources 1
Showing 1 - 3 of 3
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Assessing the severity of software bug using neural network
Bibyan, Ritu; Anand, Sameer; Jaiswal, Ajay - In: Strategic system assurance and business analytics, (pp. 491-502). 2020
Persistent link: https://www.econbiz.de/10012241919
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Severity Assessment of a Reported Bug by Considering its Uncertainty and Irregular State
Kumari, Madhu; Sharma, Meera; Singh, V. B. - In: International Journal of Open Source Software and … 9 (2018) 4, pp. 20-46
An accurate bug severity assessment is an important factor in bug fixing. Bugs are reported on the bug tracking system … reduced. To incorporate and consider these two phenomena, they have used entropy as an attribute to assess bug severity. The … authors have predicted the bug severity by using machine learning techniques, namely KNN, J48, RF, RNG, NB, CNN and MLR. They …
Persistent link: https://www.econbiz.de/10012047000
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Bug severity assessment in cross project context and identifying training candidates
Singh, V. B.; Misra, Sanjay; Sharma, Meera - In: Journal of information & knowledge management : JIKM 16 (2017) 1, pp. 1-30
Persistent link: https://www.econbiz.de/10011707693
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