[PDF][PDF] Software defect prediction using deep learning

M Nevendra, P Singh - Acta Polytechnica Hungarica, 2021 - researchgate.net
An increasing number of defects in software, damages the quality and reliability of that
software. The detection of defective instances is becoming increasingly important, and …

[PDF][PDF] Early prediction of software defect using ensemble learning: A comparative study

AS Abdou, NR Darwish - International Journal of Computer …, 2018 - researchgate.net
Recently, early prediction of software defects using the machine learning techniques has
attracted more attention of researchers due to its importance in producing a successful …

[PDF][PDF] Predicting software defects using machine learning techniques

MAI Aquil, WHW Ishak - International Journal, 2020 - wanhussain.com
ABSTRACT A huge variety of software systems are relied upon in such domains as aviation,
healthcare, manufacturing and robotics, and therefore, h systems and that they are reliable …

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 …

Software defect prediction: A comparison between artificial neural network and support vector machine

I Arora, A Saha - … and Communication Technologies: Proceedings of the …, 2018 - Springer
Software industry has stipulated the need for good quality software projects to be delivered
on time and within budget. Software defect prediction (SDP) has led to the application of …

[HTML][HTML] Enhancing software defect prediction: a framework with improved feature selection and ensemble machine learning

M Ali, T Mazhar, A Al-Rasheed, T Shahzad… - PeerJ Computer …, 2024 - peerj.com
Effective software defect prediction is a crucial aspect of software quality assurance,
enabling the identification of defective modules before the testing phase. This study aims to …

[PDF][PDF] Software Fault Prediction with Data Mining Techniques by Using Feature Selection Based Models.

AK Jakhar, K Rajnish - International Journal on Electrical Engineering & …, 2018 - ijeei.org
Software engineering activities comprise of several activities to ensure that the quality
product will be achieved at the end. Some of these activities are software testing, inspection …

[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 …

[HTML][HTML] A framework for software defect prediction using neural networks

V Vashisht, M Lal, GS Sureshchandar - Journal of Software Engineering …, 2015 - scirp.org
Despite the fact that a number of approaches have been proposed for effective and accurate
prediction of software defects, yet most of these have not found widespread applicability. Our …

A systematic literature review on software defect prediction using artificial intelligence: Datasets, Data Validation Methods, Approaches, and Tools

J Pachouly, S Ahirrao, K Kotecha… - … Applications of Artificial …, 2022 - Elsevier
Delivering high-quality software products is a challenging task. It needs proper coordination
from various teams in planning, execution, and testing. Many software products have high …