Combining PCA and SMOTE for software defect prediction with visual analytics approach

RB Bahaweres, M Salsabila, NF Rozy… - … on Cyber and IT …, 2022 - ieeexplore.ieee.org
Software defect prediction enables efficient management of time and resources in the form
of improving software quality. Therefore, research to improve the performance or accuracy …

Software defect prediction: an ML approach-based comprehensive study

K Anand, AK Jena - … , Software and Networks: Proceedings of INDIA 2022, 2022 - Springer
Software testing is a vital phase in the software development life cycle. Testing validates a
developed software against the input test cases by identifying the defects present in the …

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 …

Feature Clustering and Ensemble Learning Based Approach for Software Defect Prediction

R Srivastava, AK Jain - Recent Advances in Computer Science …, 2022 - ingentaconnect.com
Objective: Defects in delivered software products not only have financial implications but
also affect the reputation of the organisation and lead to wastage of time and human …

[PDF][PDF] Software defect prediction based on feature subset selection and ensemble classification

AA Saifan, L Abu-wardih - ECTI Transactions on Computer and …, 2020 - thaiscience.info
This research highlights a procedure which includes a feature selection technique to single
out relevant attributes, and an ensemble technique to handle the class-imbalance issue. In …

Improvement in software defect prediction outcome using principal component analysis and ensemble machine learning algorithms

N Dhamayanthi, B Lavanya - … Technologies and Internet of Things (ICICI) …, 2019 - Springer
Improving customer experience is the focus of IT Industry. It is no longer about customer
satisfaction, but it is about creating memorable experiences which will help build loyal …

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 …

Software defect prediction using ROS-KPCA stacked generalization model

B Marapelli, A Carie, SMN Islam - International Conference on Frontiers of …, 2022 - Springer
Software quality assurance is an area that deals with software defect prediction also.
Identifying and eliminating defects is a crucial task that helps organizations deliver quality …

Literature Review: A Comparative Study of Software Defect Prediction Techniques

T Sharma, A Jatain, S Bhaskar, K Pabreja - Proceedings of 3rd …, 2023 - Springer
At the latest, a lot of studies have been conducted to forecast software flaws and determine if
modules are defective or not, in order to build high-quality software at a low cost before …

Performance evaluation of software defect prediction with NASA dataset using machine learning techniques

T Siddiqui, M Mustaqeem - International Journal of Information …, 2023 - Springer
The software industry's growth and increasing complexity have made software maintenance
more challenging, with Software Defects (SD) being a significant contributor to quality …