Software Issue Time Estimation With Natural Language Processing and Machine Learning

Software Issue Time Estimation With Natural Language Processing and Machine Learning

Time estimation for software issues is crucial to planning projects. Developers and experts have for many decades tried to estimate time requirements for issues as accurately as possible. The methods that are used today are often time-consuming and complex. This thesis investigates if the time estim...

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Bibliographic Details
Main Author: Hyberg, Martin
Format: Others
Language:English
Published: KTH, Skolan för elektroteknik och datavetenskap (EECS) 2021
Subjects:
Natural Language Processing
Regression
Classification
Time Estimation
Software Issues
Word2Vec
FastText
Språkteknologi
Klassificering
Tidsuppskattning
Mjukvaruärenden
Computer and Information Sciences
Data- och informationsvetenskap
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-295202

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-295202

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