Predicting Software Defectiveness by Mining Software Repositories

Predicting Software Defectiveness by Mining Software Repositories

One of the important aims of the continuous software development process is to localize and remove all existing program bugs as fast as possible. Such goal is highly related to software engineering and defectiveness estimation. Many big companies started to store source code in software repositories...

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Bibliographic Details
Main Author: Kasianenko, Stanislav
Format: Others
Language:English
Published: Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM) 2018
Subjects:
repository mining
software metric
correlation
defect
bug
natural language processing
Pearson coefficient
Breiman’s decision tree
machine learning
Computer Sciences
Datavetenskap (datalogi)
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-78729

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-78729

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