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Rotation Forest in Software Defect Prediction [PDF]

, 2015
Software Defect Prediction (SDP) deals with localization of potentially faulty areas of the source code. Classification models are the main tool for performing the prediction and the search for a model of utmost performance is an ongoing activity. This paper explores the performance of Rotation Forest classification al gorithm in the SDP problem domain.
Mauša, Goran, Galinac Grbac, Tihana, Dalbelo Bašić, Bojana, Bogunović, Nikola   +3 more
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Quantum Vs. Classical Machine Learning Algorithms for Software Defect Prediction: Challenges and Opportunities

Workshop on Quantum Software Engineering
Software defect prediction is a critical aspect of software quality assurance, as it enables early identification and mitigation of defects, thereby reducing the cost and impact of software failures.
Md. Nadim, Mohammad Hassan, A. K. Mandal, C. Roy   +3 more
semanticscholar   +1 more source

Classification with reject option for software defect prediction

Applied Soft Computing, 2016
Graphical abstractDisplay Omitted HighlightsWe propose the use of classification with reject option for software defect prediction (SDP) as a way to incorporate additional knowledge in the SDP process.We propose two variants of the extreme learning machine with reject option.It is proposed an ELM with reject option for imbalanced datasets.The proposed ...
Diego P. P. Mesquita, Lincoln S. Rocha, João P. P. Gomes, Ajalmar R. da Rocha Neto   +3 more
openaire   +1 more source

Software Defect Prediction with Spiking Neural Networks

2020
Software defect prediction is one of the most active research areas in software engineering and plays an important role in software quality assurance. In recent years, many new defect prediction studies have been proposed. There are four main aspects of research: machine learning-based prediction algorithms, manipulating the data, effor-softaware ...
Xianghong Lin, Jie Yang, Zhiqiang Li
openaire   +1 more source

A Semi-supervised Approach to Software Defect Prediction

2014 IEEE 38th Annual Computer Software and Applications Conference, 2014
Accurate detection of software components that need to be exposed to additional verification and validation offers the path to high quality products while minimizing non essential software assurance expenditures. In this type of quality modeling we assume that software modules with known fault content developed in similar environment are available ...
Huihua Lu, Bojan Cukic, Mark Vere Culp
openaire   +1 more source

A Systematic Survey of Just-in-Time Software Defect Prediction

ACM Computing Surveys, 2023
Yunhua Zhao, Kostadin Damevski, Hui Chen   +2 more
exaly  

Software defect prediction ensemble learning algorithm based on adaptive variable sparrow search algorithm

International Journal of Machine Learning and Cybernetics, 2023
Yu Tang, Q. Dai, Mengyuan Yang, Tony Du, Lifang Chen   +4 more
semanticscholar   +1 more source

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

International journal of information technology, 2023
Tamanna Siddiqui, Mohd. Mustaqeem
semanticscholar   +1 more source

Cross-project software defect prediction based on the reduction and hybridization of software metrics

Alexandria Engineering Journal
Ahmed Abdu, Zhengjun Zhai, Hakim A. Abdo, Sungon Lee, Mohammed A. Al-masni, Y. Gu, Redhwan Algabri   +6 more
semanticscholar   +1 more source

Predicting test failures induced by software defects: A lightweight alternative to software defect prediction and its industrial application

Journal of Systems and Software
L. Madeyski, Szymon Stradowski
semanticscholar   +1 more source