Retraction

An Automated Approach for the Prediction of the Severity Level of Bug Reports Using GPT-2

Citations (7)

7
Total Citations
1
Post-Retraction
(14.3%)
4
Pre-Retraction
1
Same Day
Post-Retraction Citation Analysis
0 Within 30 days
0 Within 1 year
0 After 2+ years
392 Days since retraction (latest)
Heavy Metals Removal Using Carbon Based Nanocomposites
Unknown Authors
Unknown Journal
Published: Unknown
An Efficient Mental Healthcare Chatbot Using Reprogramming Transformer Model Based on a Fine-Tuned GPT-2
Hiba Malik Mohssen, Hayder H. Safi
Lecture notes in networks and systems
Published: Jan 2025
392 days after retraction
Retracted: An Automated Approach for the Prediction of the Severity Level of Bug Reports Using GPT-2
Security and Communication Networks
Security and Communication Networks Open Access
Published: Dec 2023
Same day as retraction
Software bug severity and priority prediction using SMOTE and intuitionistic fuzzy similarity measure
Rama Ranjan Panda, Naresh Kumar Nagwani
Applied Soft Computing
Published: Nov 2023
4 citations
22 days before retraction
Harnessing Deep Learning Techniques for Text Clustering and Document Categorization
Rama Krishna Paladugu, Gangadhara Rao Kancherla
International Journal on Recent and Innovation Trends in Computing and Communication Open Access
Published: Sep 2023
77 days before retraction
An intuitionistic fuzzy representation based software bug severity prediction approach for imbalanced severity classes
Rama Ranjan Panda, Naresh Kumar Nagwani
Engineering Applications of Artificial Intelligence
Published: Mar 2023
8 citations
272 days before retraction
Predictive Analytics and Software Defect Severity: A Systematic Review and Future Directions
Taiwo Olaleye, Oluwasefunmi Arogundade, Sanjay Misra et al. (5 authors)
Scientific Programming Open Access
Published: Feb 2023
14 citations
307 days before retraction
Quick Stats
Total Citations: 10
Years Since Retraction: 2.0 year
Open Access: Yes
Last Checked: Jul 24, 2025
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