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Issue Report Resolution Time Prediction
Details
Nowadays, planning and scheduling is critical for companies of any size. We use planning in order to know how much a product will cost, how much resources are needed, and when a product will be delivered. However, planning is difficult and plans are often wrong. The primary purpose of this study is to build a model that predicts the resolution time of incoming issue reports based on past issue report data. Moreover, additional goals of the research are to determine which existing approaches of resolution time prediction yield the highest levels of accuracy, and which features of issue reports are essential for prediction.
Autorentext
I'm software engineer, graduated from Tartu University (Estonia) in 2015 as M.A, interested in data mining, machine learning and its practical use in Enterprise software development.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09786202019781
- Herausgeber LAP LAMBERT Academic Publishing
- Anzahl Seiten 80
- Genre Software
- Sprache Englisch
- Gewicht 137g
- Autor Myroslava Stavnycha
- Größe H220mm x B150mm x T5mm
- Jahr 2017
- EAN 9786202019781
- Format Kartonierter Einband
- ISBN 6202019786
- Veröffentlichung 15.08.2017
- Titel Issue Report Resolution Time Prediction