Machine Learning-Based Run-Time DevSecOps: ChatGPT Against Traditional Approach

Author:

Petrović Nenad1

Affiliation:

1. University of Niš,Faculty of Electronic Engineering,Niš,Serbia

Funder

Ministry of Education

Publisher

IEEE

Reference16 articles.

1. LogQA: Question Answering in Unstructured Logs;huang;Preprint,2023

2. ChatGPT can solve simple machine learning tasks as classification and categorization;yalalov,2023

3. Mašinsko u?enje u okviru kursa Informacioni sistemi koriš?enjem Weka API za Javu;petrovi?;IEEESTEC – 15th Student Projects Conference,2022

4. LogFiT: Log Anomaly Detection using Fine-Tuned Language Models;almodovar;Preprint,2023

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1. Gloss: Guiding Large Language Models to Answer Questions from System Logs;2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER);2024-03-12

2. Leveraging Outage probability in system limited by BX fading and Co-channel interference for ChatGPT-enabled QoS adaptation;2023 31st Telecommunications Forum (TELFOR);2023-11-21

3. AI-Driven Approach for QoS Estimation Using LCR in 5G Network with Selection Combining in α-η-µ Fading and Co-Channel Interference Environment;2023 IEEE Silchar Subsection Conference (SILCON);2023-11-03

4. ChatGPT-Aided QoS Estimation Le eraging Outage Probability of Mobile Networks Limited by α-η-µ Fading and α-η-µ Co-channel Interference;2023 16th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS);2023-10-25

5. ChatGPT in IoT Systems: Arduino Case Studies;2023 IEEE 33rd International Conference on Microelectronics (MIEL);2023-10-16

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