[PDF][PDF] A systematic literature review of software defect prediction

RS Wahono - Journal of software engineering, 2015 - romisatriawahono.net
Recent studies of software defect prediction typically produce datasets, methods and
frameworks which allow software engineers to focus on development activities in terms of …

Progress on approaches to software defect prediction

Z Li, XY Jing, X Zhu - Iet Software, 2018 - Wiley Online Library
Software defect prediction is one of the most popular research topics in software
engineering. It aims to predict defect‐prone software modules before defects are discovered …

[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] Performance analysis of machine learning techniques on software defect prediction using NASA datasets

A Iqbal, S Aftab, U Ali, Z Nawaz, L Sana… - … Journal of Advanced …, 2019 - researchgate.net
Defect prediction at early stages of software development life cycle is a crucial activity of
quality assurance process and has been broadly studied in the last two decades. The early …

[HTML][HTML] Empirical study of software defect prediction: a systematic mapping

LH Son, N Pritam, M Khari, R Kumar, PTM Phuong… - Symmetry, 2019 - mdpi.com
Software defect prediction has been one of the key areas of exploration in the domain of
software quality. In this paper, we perform a systematic mapping to analyze all the software …

Ensemble of software defect predictors: an AHP-based evaluation method

Y Peng, G Kou, G Wang, W Wu, Y Shi - International Journal of …, 2011 - World Scientific
Classification algorithms that help to identify software defects or faults play a crucial role in
software risk management. Experimental results have shown that ensemble of classifiers are …

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 …

Software fault prediction using data mining, machine learning and deep learning techniques: A systematic literature review

I Batool, TA Khan - Computers and Electrical Engineering, 2022 - Elsevier
Software fault/defect prediction assists software developers to identify faulty constructs, such
as modules or classes, early in the software development life cycle. There are data mining …

[HTML][HTML] Software Defect Prediction Analysis Using Machine Learning Techniques

A Khalid, G Badshah, N Ayub, M Shiraz, M Ghouse - Sustainability, 2023 - mdpi.com
There is always a desire for defect-free software in order to maintain software quality for
customer satisfaction and to save testing expenses. As a result, we examined various known …

An empirical study on software defect prediction with a simplified metric set

P He, B Li, X Liu, J Chen, Y Ma - Information and Software Technology, 2015 - Elsevier
Context Software defect prediction plays a crucial role in estimating the most defect-prone
components of software, and a large number of studies have pursued improving prediction …