Size-biased hybrid model for software defect prediction
| Year of publication: |
2025
|
|---|---|
| Authors: | Chakraborty, Ashis Kumar ; Majumder, Anuran ; Kundu, Vivek |
| Published in: |
Opsearch : journal of the Operational Research Society of India. - New Delhi : Springer India, ISSN 0975-0320, ZDB-ID 2516085-0. - Vol. 62.2025, 2, p. 706-724
|
| Subject: | Hybrid model | Imbalanced data | Machine learning | Size of a bug | Software defect prediction (SDP) | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Software | Softwareentwicklung | Software development | Softwareindustrie | Software industry | Theorie | Theory |
-
Gupta, Anurag, (2024)
-
Software defect prediction based on selected features using neural network and decision tree
Mehta, Prarna, (2020)
-
Defect prediction in software using spiderhunt-based deep convolutional neural network classifier
Prashanthi, M., (2022)
- More ...
-
Unemployment rate forecasting : a hybrid approach
Chakraborty, Tanujit, (2021)
-
Optimization of the number of maintenance crew in a manufacturing unit
Chakraborty, Ashis Kumar, (2022)
-
Bayesian optimum stopping rule for software release
Chakraborty, Ashis Kumar, (2019)
- More ...