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 …

[PDF][PDF] A feature selection based ensemble classification framework for software defect prediction

A Iqbal, S Aftab, I Ullah, MS Bashir… - International Journal of …, 2019 - mecs-press.org
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 …

[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 …

[PDF][PDF] Software defect prediction using variant based ensemble learning and feature selection techniques

U Ali, S Aftab, A Iqbal, Z Nawaz, MS Bashir… - International Journal of …, 2020 - mecs-press.org
Testing is considered as one of the expensive activities in software development process.
Fixing the defects during testing process can increase the cost as well as the completion …

Impact of feature selection on classification via clustering techniques in software defect prediction

FE Usman-Hamza, AF Atte, AO Balogun… - Journal of Computer …, 2019 - ajol.info
Software testing using software defect prediction aims to detect as many defects as possible
in software before the software release. This plays an important role in ensuring quality and …

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 …

[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 …

Selection of best feature reduction method for module-based software defect prediction

S Singh, TU Haider - Journal of Physics: Conference Series, 2022 - iopscience.iop.org
In the Software development life cycle (SDLC) the prediction of software defects is one of the
crucial parts. Recent years have witnessed various studies for predicting software defects …

[PDF][PDF] Comparative analysis of selected heterogeneous classifiers for software defects prediction using filter-based feature selection methods

AG Akintola, AO Balogun… - FUOYE Journal of …, 2018 - researchgate.net
Classification techniques is a popular approach to predict software defects and it involves
categorizing modules, which is represented by a set of metrics or code attributes into fault …

Ensemble Classifiers in Software Defect Prediction: A Systematic Literature Review

JA Olivares-Galindo, ÁJ Sánchez-García… - 2023 11th …, 2023 - ieeexplore.ieee.org
The Software Defect Prediction area is important in software development since it allows
anticipating possible software defects before they occur in production and affect end users. If …