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 …
Empirical studies of a kernel density estimation based naive bayes method for software defect prediction
H Ji, S Huang, X Lv, Y Wu, Y Feng - IEICE TRANSACTIONS on …, 2019 - search.ieice.org
Software defect prediction (SDP) plays a significant part in allocating testing resources
reasonably, reducing testing costs, and ensuring software quality. One of the most widely …
reasonably, reducing testing costs, and ensuring software quality. One of the most widely …
A comparison framework of classification models for software defect prediction
Software defects are expensive in quality and cost. The accurate prediction of defect-prone
software modules can help direct test effort, reduce costs, and improve the quality of …
software modules can help direct test effort, reduce costs, and improve the quality of …
Improved prediction of software defects using ensemble machine learning techniques
S Mehta, KS Patnaik - Neural Computing and Applications, 2021 - Springer
Software testing process is a crucial part in software development. Generally the errors
made by developers get fixed at a later stage of the software development process. This …
made by developers get fixed at a later stage of the software development process. This …
An ensemble learning approach for software defect prediction in developing quality software product
Abstract Software Defect Prediction (SDP) is a major research field in the software
development life cycle. The accurate SDP would assist software developers and engineers …
development life cycle. The accurate SDP would assist software developers and engineers …
Benchmarking classification models for software defect prediction: A proposed framework and novel findings
Software defect prediction strives to improve software quality and testing efficiency by
constructing predictive classification models from code attributes to enable a timely …
constructing predictive classification models from code attributes to enable a timely …
Research progress of software defect prediction
宫丽娜， 姜淑娟， 姜丽 - Journal of Software, 2019 - jos.org.cn
随着软件规模的扩大和复杂度的不断提高, 软件的质量问题成为关注的焦点,
软件缺陷是软件质量的对立面, 威胁着软件质量, 如何在软件开发的早期挖掘出缺陷模块成为 …
软件缺陷是软件质量的对立面, 威胁着软件质量, 如何在软件开发的早期挖掘出缺陷模块成为 …
Hybrid approach for software defect prediction using machine learning with optimization technique
C Manjula, L Florence - International Journal of Computer …, 2018 - publications.waset.org
Software technology is developing rapidly which leads to the growth of various industries.
Now-a-days, software-based applications have been adopted widely for business purposes …
Now-a-days, software-based applications have been adopted widely for business purposes …
[PDF][PDF] Improved random forest algorithm for software defect prediction through data mining techniques
SG Jacob - International Journal of Computer Applications, 2015 - Citeseer
Software defect prediction using classification algorithms was advocated by many
researchers. Moreover the classifier ensemble can effectively improve classification …
researchers. Moreover the classifier ensemble can effectively improve classification …
Empirical assessment of machine learning based software defect prediction techniques
VUB Challagulla, FB Bastani, IL Yen… - International Journal on …, 2008 - World Scientific
Automated reliability assessment is essential for systems that entail dynamic adaptation
based on runtime mission-specific requirements. One approach along this direction is to …
based on runtime mission-specific requirements. One approach along this direction is to …