[HTML][HTML] Automatic software bug prediction using adaptive golden eagle optimizer with deep learning

R Siva, B Hariharan, N Premkumar - Multimedia Tools and Applications, 2024 - Springer
In the software maintenance and development process, the software bug detection is an
essential problem because it related with the complete software successes. So, the earlier …

[HTML][HTML] Automatic Software Bug Prediction Using Adaptive Artificial Jelly Optimization With Long Short-Term Memory

R Siva, B Hariharan, N Premkumar - Wireless Personal Communications, 2023 - Springer
In the software maintenance and development process, software bug detection is an
essential problem because it is related to complete software success. It is recommended to …

Software bug prediction employing feature selection and deep learning

SM Abozeed, MY ElNainay, SA Fouad… - … on advances in the …, 2020 - ieeexplore.ieee.org
It was proven that the cost of fixing errors escalates as a project moves through its life cycle
in an exponential fashion. Identifying buggy classes, as soon as they are committed to the …

[PDF][PDF] Feature selection approach for improving the accuracy of software bug prediction

E Kaen, A Algarni - Journal of King Abdulaziz University: Computing and …, 2019 - kau.edu.sa
We recently noticed the advancement and growth in the field of artificial intelligence and in
its various branches such as Machine Learning (ML) and Deep Learning in various vital …

A novel dimensionality reduction-based software bug prediction using a bat-inspired algorithm

A Gupta, M Sharma, A Srivastava - 2023 13th International …, 2023 - ieeexplore.ieee.org
The major intention of software bug identification is to predict the defects in the software
modules for increasing the performance of testing. It helps in analyzing the bugs before …

BPDET: An effective software bug prediction model using deep representation and ensemble learning techniques

SK Pandey, RB Mishra, AK Tripathi - Expert Systems with Applications, 2020 - Elsevier
In software fault prediction systems, there are many hindrances for detecting faulty modules,
such as missing values or samples, data redundancy, irrelevance features, and correlation …

[PDF][PDF] Comprehensive study on machine learning techniques for software bug prediction

NAA Khleel, K Nehéz - … Journal of Advanced Computer Science and …, 2021 - academia.edu
Software bugs are defects or faults in computer programs or systems that cause incorrect or
unexpected operations. These negatively affect software quality, reliability, and maintenance …

A classification model for software bug prediction based on ensemble deep learning approach boosted with SMOTE technique

T Thaher, F Khamayseh - Congress on Intelligent Systems: Proceedings of …, 2021 - Springer
In the software development process, the testing phase plays a vital role in assessing
software quality. Limited resources pose a challenge in achieving this purpose efficiently …

Novel xgboost tuned machine learning model for software bug prediction

A Gupta, S Sharma, S Goyal… - … conference on intelligent …, 2020 - ieeexplore.ieee.org
As internet users grow, the quantity of data available on the web increases with it. Virtually
everything that needs human effort or human presence can be replaced by the Software …

[PDF][PDF] Software bug prediction using machine learning approach

A Hammouri, M Hammad, M Alnabhan… - … journal of advanced …, 2018 - researchgate.net
Software Bug Prediction (SBP) is an important issue in software development and
maintenance processes, which concerns with the overall of software successes. This is …