[HTML][HTML] A study on ML-based software defect detection for security traceability in smart healthcare applications

S Mcmurray, AH Sodhro - Sensors, 2023 - mdpi.com
Software Defect Prediction (SDP) is an integral aspect of the Software Development Life-
Cycle (SDLC). As the prevalence of software systems increases and becomes more …

Software defect prediction for healthcare big data: an empirical evaluation of machine learning techniques

B Khan, R Naseem, MA Shah, K Wakil… - Journal of …, 2021 - Wiley Online Library
Software defect prediction (SDP) in the initial period of the software development life cycle
(SDLC) remains a critical and important assignment. SDP is essentially studied during few …

[HTML][HTML] Software Defect Prediction Analysis Using Machine Learning Techniques

A Khalid, G Badshah, N Ayub, M Shiraz, M Ghouse - Sustainability, 2023 - mdpi.com
There is always a desire for defect-free software in order to maintain software quality for
customer satisfaction and to save testing expenses. As a result, we examined various known …

A study on software defect prediction using feature extraction techniques

R Malhotra, K Khan - 2020 8th International Conference on …, 2020 - ieeexplore.ieee.org
Identification and elimination of defects in software is time and resource-consuming activity.
The maintenance of a defective software system is burdensome. Software defect prediction …

Static code metrics-based deep learning architecture for software fault prediction

S Goyal - Soft Computing, 2022 - Springer
Software fault prediction (SFP) refers to the early prediction of fault-prone modules in
software development which are susceptible to faults and can incur high development cost …

An optimized feature selection method using ensemble classifiers in software defect prediction for healthcare systems

UG Mohammad, S Imtiaz, M Shakya… - Wireless …, 2022 - Wiley Online Library
The healthcare systems are extensively being used with increased focus on safety of
patients. Software engineering for healthcare applications is an emerging research area …

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-based prediction using logistic regression: Review and challenges

J Goyal, R Ranjan Sinha - Second International Conference on …, 2022 - Springer
Software analysis and prediction system development is the significant and much-needed
field of software testing in software engineering. The automatic software predictors analyze …

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 …

[PDF][PDF] Software defect prediction using supervised machine learning techniques: A systematic literature review

F Matloob, S Aftab, M Ahmad… - … Automation & Soft …, 2021 - pdfs.semanticscholar.org
Software defect prediction (SDP) is the process of detecting defectprone software modules
before the testing stage. The testing stage in the software development life cycle is …