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 …
satisfaction, but it is about creating memorable experiences which will help build loyal …
Revisiting the class imbalance issue in software defect prediction
Software defect prediction is related to the testing area of software industry. Several methods
have been developed for the prediction of bugs in software source codes. The objective of …
have been developed for the prediction of bugs in software source codes. The objective of …
[PDF][PDF] A feature selection based ensemble classification framework for software defect prediction
Software defect prediction is one of the emerging research areas of software engineering.
The prediction of defects at early stage of development process can produce high quality …
The prediction of defects at early stage of development process can produce high quality …
Noise filtering and imbalance class distribution removal for optimizing software fault prediction using best software metrics suite
Software fault detection is by far the most prevalent field of predictive analysis in the software
engineering paradigm and several research centers have launched new ventures in this …
engineering paradigm and several research centers have launched new ventures in this …
[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 …
schedule that could be expected under diverse circumstances. Many software development …
A review of software defect prediction models
H Tanwar, M Kakkar - … , Analytics and Innovation: Proceedings of ICDMAI …, 2019 - Springer
A Review of Software Defect Prediction Models | SpringerLink Skip to main content
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Software defect prediction using ensemble learning: A systematic literature review
Recent advances in the domain of software defect prediction (SDP) include the integration of
multiple classification techniques to create an ensemble or hybrid approach. This technique …
multiple classification techniques to create an ensemble or hybrid approach. This technique …
Software defect-prone classification using machine learning: A virtual classification study between LibSVM & LibLinear
The field of machine learning has been developing quickly, delivering an assortment of
learning algorithms for various software applications. A definitive estimation of those …
learning algorithms for various software applications. A definitive estimation of those …
[HTML][HTML] Industrial applications of software defect prediction using machine learning: A business-driven systematic literature review
S Stradowski, L Madeyski - Information and Software Technology, 2023 - Elsevier
Context: Machine learning software defect prediction is a promising field of software
engineering, attracting a great deal of attention from the research community; however, its …
engineering, attracting a great deal of attention from the research community; however, its …
Ensemble machine learning paradigms in software defect prediction
Predicting faults in software aims to detect defects before the testing phase, allowing for
better resource allocation and high-quality software development, which is a requisite for …
better resource allocation and high-quality software development, which is a requisite for …