Software Defect Prediction Approaches: A Review
ZS Alharthi, A Alsaeedi… - 2021 4th International …, 2021 - ieeexplore.ieee.org
Software testing is a time-consuming and costly task, as it involves testing all software
modules. To minimize the cost and effort of software testing, automatic defect detection can …
modules. To minimize the cost and effort of software testing, automatic defect detection can …
Optimization of software defects prediction in imbalanced class using a combination of resampling methods with support vector machine and logistic regression
W Ustyannie, E Setyaningsih… - JURNAL …, 2021 - ejournal.ittelkom-pwt.ac.id
The main problem in producing high accuracy software defect prediction is if the data set
has an imbalance class and dichotomous characteristics. The imbalanced class problem …
has an imbalance class and dichotomous characteristics. The imbalanced class problem …
MCDM Based Evaluation of Software Defect Prediction Models
A Kumar, K Kaur - … Conference on Advances and Applications of Artificial …, 2022 - Springer
Software defect prediction is an essential activity for software quality assurance. Various
researchers have developed a large number of models for software defect prediction based …
researchers have developed a large number of models for software defect prediction based …
[PDF][PDF] Author's Age and Gender Prediction on Hotel Review Using Machine Learning Techniques
MH Khan, B Khan, S Jan, MI Chughtai - cdn.techscience.cn
Author's Profile (AP) may only be displayed as an article, similar to text collection of material,
and must differentiate between gender, age, education, occupation, local language, and …
and must differentiate between gender, age, education, occupation, local language, and …
[PDF][PDF] Optimizing Software Defect Prediction: A Genetic Algorithm Based Comparative Analysis
M Ali - ijcis.com
Software quality assurance is a crucial activity during the initial stages of the
softwaredevelopment life cycle. Over the past two decades, various frameworks have been …
softwaredevelopment life cycle. Over the past two decades, various frameworks have been …
Machine Learning and Deep Learning Techniques to Predict Software Defects: A Bibliometric Analysis, Systematic Review, Challenges and Future Works
A Daza Vergaray, OG Apaza Pérez… - … Challenges and Future … - papers.ssrn.com
Abstract In Australia, approximately 66.00% of projects exceeded the programmed budget
and 33% were out of time, all of them due to software failures. The purpose of this study is to …
and 33% were out of time, all of them due to software failures. The purpose of this study is to …
Enhancing Software Reliability through Naive Bayes-based Defect Prediction
P Dhavakumar, K Lakshmikant - 2024 - researchsquare.com
Software defects can be costly to fix and can lead to reduced system reliability, decreased
user satisfaction, and increased development time. To mitigate these risks, software defect …
user satisfaction, and increased development time. To mitigate these risks, software defect …
Perbandingan kinerja AUC dan G-Means pada machine learning berbasis seleksi fitur algoritma genetika untuk prediksi cacat perangkat lunak
AW Hutomo - 2020 - repository.uinjkt.ac.id
Prediksi cacat perangkat lunak adalah cara untuk meningkatkan kualitas dengan
menemukan dan melacak modul yang rusak dalam perangkat lunak dengan pendekatan …
menemukan dan melacak modul yang rusak dalam perangkat lunak dengan pendekatan …
[PDF][PDF] THE SYSTEMATIC REVIEW STUDY OF SIGNIFICANCE OF MACHINE LEARNING TECHNIQUES IN SOFTWARE DEFECT PREDICTION
A Kumar, MA Ansari - academia.edu
Software defects remain a critical challenge in the software development lifecycle, impacting
product quality, cost, and delivery time. Predicting and mitigating defects early in the …
product quality, cost, and delivery time. Predicting and mitigating defects early in the …
[PDF][PDF] Prediction and Correction of Software Defects in Message-Passing Interfaces Using a Static Analysis Tool and Machine Learning
F NORAHABDULLAHAL-JOHANY, SA SHARAF… - researchgate.net
ABSTRACT The Software Defect Prediction (SDP) method forecasts the occurrence of
defects at the beginning of the software development process. Early fault detection will …
defects at the beginning of the software development process. Early fault detection will …