Comparison of Hidden Markov Model with other Machine Learning Techniques in Software Defect Prediction

R Malhotra, C Singla… - 2022 IEEE 7th International …, 2022 - ieeexplore.ieee.org
In the field of Software Engineering, defect prediction is the most comprehensive and active
area of study. It determines which modules are prone to errors and requires rigorous testing …

A review on machine learning techniques for software defect prediction

F Hassan, S Farhan, MA Fahiem, H Tauseef - Technical Journal, 2018 - tj.uettaxila.edu.pk
Software defect prediction has been an interest of research era because predicting defects
on early stages improves software quality with reduced cost and effective software …

Software Defect Prediction: A Comparative Analysis of Machine Learning Techniques

R Shrimankar, M Kuanr, J Piri… - … Conference on Machine …, 2022 - ieeexplore.ieee.org
The early prediction of defective modules in developing software can help the development
team to utilize the available resources efficiently to deliver high quality software product in …

Performance Analysis of Feature Selection Techniques in Software Defect Prediction using Machine Learning

K Anand, AK Jena, T Choudhary - … International Conference on …, 2022 - ieeexplore.ieee.org
Software Testing is an essential activity in the development process of a software product. A
defect-free software is the need of the hour. Identifying the defects as early as possible is …

A Systematic Approach for Enhancing Software Defect Prediction Using Machine Learning

SM Rifat, AU Bhuyain, MS Hossain… - … Conference on Next …, 2023 - ieeexplore.ieee.org
In the modern world of software development, ensuring reliability and performance is of
paramount importance. However, despite the best efforts from the developers, software …

Enhancing Software Defect Prediction Through Advanced Machine Learning: Investigating Solutions to Key Limitations of Traditional Techniques

M Mustaqeem, S Mustajab, M Shahid… - 2024 International …, 2024 - ieeexplore.ieee.org
Software defect prediction (SDP) ensures high-quality and reliable software systems.
However, traditional SDP techniques face various challenges that hinder their effectiveness …

Comprehensive Survey of different Machine Learning Algorithms used for Software Defect Prediction

V Gururaj, KR Umadi, M Kumar… - … on Decision Aid …, 2022 - ieeexplore.ieee.org
The software development life cycle is a long and complicated process. It consists of
analysis, design, development, testing and deployment. Defect prediction is the technique of …

A feature selection-based K-NN model for fast software defect prediction

JB Awotunde, S Misra, AE Adeniyi, MK Abiodun… - … Science and Its …, 2022 - Springer
Abstract Software Defect Prediction (SDP) is an advanced technological method of
predicting software defects in the software development life cycle. Various research works …

Prevalence of machine learning techniques in software defect prediction

MF Sohan, MA Kabir, M Rahman, T Bhuiyan… - Cyber Security and …, 2020 - Springer
Abstract Software Defect Prediction (SDP) is a popular research area which plays an
important role for software quality. It works as an indicator of whether a software module is …

Software bug prediction using machine learning on jm1 dataset

NM Shailee, A Alam, T Ahmed… - … on Advances in …, 2024 - ieeexplore.ieee.org
Ensuring the quality of software systems is essential for effective and efficient usage in
complex software development procedures. A vital component of the whole procedure is the …