[HTML][HTML] Software defect prediction using supervised machine learning and ensemble techniques: a comparative study

A Alsaeedi, MZ Khan - Journal of Software Engineering and Applications, 2019 - scirp.org
An essential objective of software development is to locate and fix defects ahead of
schedule that could be expected under diverse circumstances. Many software development …

[PDF][PDF] A systematic literature review of software defect prediction

RS Wahono - Journal of software engineering, 2015 - romisatriawahono.net
Recent studies of software defect prediction typically produce datasets, methods and
frameworks which allow software engineers to focus on development activities in terms of …

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 …

A comparative study of iterative and non-iterative feature selection techniques for software defect prediction

TM Khoshgoftaar, K Gao, A Napolitano… - Information Systems …, 2014 - Springer
Two important problems which can affect the performance of classification models are high-
dimensionality (an overabundance of independent features in the dataset) and imbalanced …

Feature-grouping-based two steps feature selection algorithm in software defect prediction

Y Du, L Zhang, J Shi, J Tang, Y Yin - Proceedings of the 2nd …, 2018 - dl.acm.org
In order to improve the effect of software defect prediction, many algorithms including feature
selection, have been proposed. Based on Wrapper and Filter hybrid framework, a feature …

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 …

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 …

Ensemble of software defect predictors: an AHP-based evaluation method

Y Peng, G Kou, G Wang, W Wu, Y Shi - International Journal of …, 2011 - World Scientific
Classification algorithms that help to identify software defects or faults play a crucial role in
software risk management. Experimental results have shown that ensemble of classifiers are …