Estimate the performance of applying machine learning algorithms to predict defects in software using weka

F AlShaikh, W Elmedany - 2021 - IET
Predicting faults in any software becomes one of the critical study fields in software
engineering. Software defect prediction in the early stages of the software development life …

[PDF][PDF] ANALYSIS OF SOFTWARE FAULTS

M Karim, S Das - scholar.archive.org
To improve quality of software, fault prediction is major task which reduces time and
complexity between modules. Software faults depends mainly on faulty data which was …

Comparative Analysis of Machine Learning Technique to Improve Software Defect Prediction: Comparative Analysis of Machine Learning Technique to Improve …

M Azam, M Nouman, AR Gill - KIET Journal of Computing and …, 2022 - kjcis.kiet.edu.pk
One of the most active areas of research in the software engineering community is defect
prediction. The gap between data mining and software engineering must be bridged to …

A COMPARATIVE ANALYSIS STUDY OF SOFTWARE DEFECT PREDICTION USING MACHINE LEARNING ALGORITHMS ON NASA DATASET

H Shah, P Sahatiya - Harbin Gongye Daxue Xuebao …, 2022 - hebgydxxb.periodicales.com
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 …

[PDF][PDF] Elma+: An Ensemble Learning Based Model For Accurate Prediction Of Software Defects

MRRO SINGH, DRB THANKACHAN - Webology (ISSN: 1735-188X), 2021 - webology.org
The recent developments made in the software engineering technologies has introduced the
growth of the data. In order to handle the explosive growth of the data, many software quality …

[PDF][PDF] Effect of Principle Component Analysis and Support Vector Machine in Software Fault Prediction

A Shanthini, G Vinodhini… - International Journal of …, 2014 - researchgate.net
Machine Learning (ML) approaches have a great impact in fault prediction. Demand for
producing quality assured software in an organization has been rapidly increased during the …

Prediction of defects in software using machine learning classifiers

A Arya, S Kumar, V Singh - … and Data Engineering: Proceedings of ICMDE …, 2020 - Springer
Abstract The Software Defect Prediction (SDP) model engages in predicting defects and
bugs in the software. This model will detect and predict bugs during early stages of the …

[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 …

[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 …

Software Defect Prediction using Machine Learning

SA Ali, NR Roy, D Raj - 2023 10th International Conference on …, 2023 - ieeexplore.ieee.org
Software engineering phases and approaches have always targeted to deliver high-
performance software designed to fulfill a certain task while optimizing criteria such as …