Combining integreted sampling technique with feature selection for software defect prediction

SA Putri - 2017 5th International Conference on Cyber and IT …, 2017 - ieeexplore.ieee.org
Good quality software is a supporting factor that is important in any line of work in of society.
But the software component defective or damaged resulting in reduced performance of the …

Multistage preprocessing approach for software defect data prediction

M Nevendra, P Singh - Social Transformation–Digital Way: 52nd Annual …, 2018 - Springer
Naïve Bayes is one of the most simplest and efficient classification algorithms and is
therefore being widely used. It has been utilized in several situations, like web mining …

Tool to handle imbalancing problem in software defect prediction using oversampling methods

R Malhotra, S Kamal - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
Data imbalancing is becoming a common problem to tackle in different fields like, defect
prediction, change prediction, oil spills, medical diagnose etc. Various methods have been …

Software defect prediction using software metrics with naïve bayes and rule mining association methods

FM Tua, WD Sunindyo - 2019 5th International conference on …, 2019 - ieeexplore.ieee.org
Software defect prediction (SDP) can help testers decide allocation of resources rationally to
find defects effectively, so as to improve software quality. Naive Bayes (NB) is one of the …

Feature selection and software defect prediction by different ensemble classifiers

N Shakhovska, V Yakovyna - … , DEXA 2021, Virtual Event, September 27 …, 2021 - Springer
Software defect prediction can improve its quality and is actively studied during the last
decade. This paper focuses on the improvement of software defect prediction accuracy by …

Substantiation of software defect prediction using statistical learning: an empirical study

S Agarwal, S Gupta, R Aggarwal… - … on Internet of Things …, 2019 - ieeexplore.ieee.org
Defect Prediction plays a very important role in the development of the software. The defect
prediction leads to a more focused testing thereby reducing the testing cost and efforts. In …

Software defect prediction analysis using machine learning algorithms

PD Singh, A Chug - 2017 7th international conference on cloud …, 2017 - ieeexplore.ieee.org
Software Quality is the most important aspect of a software. Software Defect Prediction can
directly affect quality and has achieved significant popularity in last few years. Defective …

Voting based ensemble classification for software defect prediction

RJ Jacob, RJ Kamat, NM Sahithya… - 2021 IEEE Mysore …, 2021 - ieeexplore.ieee.org
Fault Prediction procedures are meant to help focus on software testing and troubleshooting;
they can caution developers on programming segments that appear to be defective. Here, a …

[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] Hybrid ensemble learning technique for software defect prediction

MZ Khan - International Journal of Modern Education & Computer …, 2020 - mecs-press.net
The reliability of software depends on its ability to function without error. Unfortunately, errors
can be generated during any phase of software development. In the field of software …