Real Time Bug Detection Using Machine Learning Algorithm

Real-time bug detection in software systems is a critical aspect of software quality assurance. Traditional debugging techniques often fail to scale with the increasing complexity of software. Machine learning (ML) offers a promising solution for automated and real-time bug detection. This paper explores various machine learning algorithms used for bug detection, their implementation in real-time systems using Python, and the challenges faced. We also discuss performance evaluation metrics and future directions in the field.

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-03-06
DOI
https://doi.org/10.55041/ijsrem42112
Primary Topic
Software System Performance and Reliability
Type
article
Field-Weighted Citation Impact
0.00
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article

Real Time Bug Detection Using Machine Learning Algorithm

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Software System Performance and Reliability
article

Real Time Bug Detection Using Machine Learning Algorithm

article en

Abstract

Real-time bug detection in software systems is a critical aspect of software quality assurance. Traditional debugging techniques often fail to scale with the increasing complexity of software. Machine learning (ML) offers a promising solution for automated and real-time bug detection. This paper explores various machine learning algorithms used for bug detection, their implementation in real-time systems using Python, and the challenges faced. We also discuss performance evaluation metrics and future directions in the field.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(03)
Industry, innovation and infrastructure
Openalex Percentile: Top 96%
Software System Performance and Reliability
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Real Time Bug Detection Using Machine Learning Algorithm · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2025) | TGRS Research Map | TGRS