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 …
from various teams in planning, execution, and testing. Many software products have high …
A systematic review of machine learning techniques for software fault prediction
R Malhotra - Applied Soft Computing, 2015 - Elsevier
Background Software fault prediction is the process of developing models that can be used
by the software practitioners in the early phases of software development life cycle for …
by the software practitioners in the early phases of software development life cycle for …
Survey on software defect prediction techniques
Recent advancements in technology have emerged the requirements of hardware and
software applications. Along with this technical growth, software industries also have faced …
software applications. Along with this technical growth, software industries also have faced …
Machine learning based methods for software fault prediction: A survey
SK Pandey, RB Mishra, AK Tripathi - Expert Systems with Applications, 2021 - Elsevier
Several prediction approaches are contained in the arena of software engineering such as
prediction of effort, security, quality, fault, cost, and re-usability. All these prediction …
prediction of effort, security, quality, fault, cost, and re-usability. All these prediction …
A survey on machine learning techniques for source code analysis
The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …
these techniques to a myriad of software engineering tasks that use source code analysis …
Progress on approaches to software defect prediction
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 …
engineering. It aims to predict defect‐prone software modules before defects are discovered …
Software defect prediction using ensemble learning on selected features
Context Several issues hinder software defect data including redundancy, correlation,
feature irrelevance and missing samples. It is also hard to ensure balanced distribution …
feature irrelevance and missing samples. It is also hard to ensure balanced distribution …
A comprehensive investigation of the role of imbalanced learning for software defect prediction
Q Song, Y Guo, M Shepperd - IEEE Transactions on Software …, 2018 - ieeexplore.ieee.org
Context: Software defect prediction (SDP) is an important challenge in the field of software
engineering, hence much research work has been conducted, most notably through the use …
engineering, hence much research work has been conducted, most notably through the use …
A survey of aiops methods for failure management
Modern society is increasingly moving toward complex and distributed computing systems.
The increase in scale and complexity of these systems challenges O&M teams that perform …
The increase in scale and complexity of these systems challenges O&M teams that perform …
An empirical study of model-agnostic techniques for defect prediction models
J Jiarpakdee, CK Tantithamthavorn… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Software analytics have empowered software organisations to support a wide range of
improved decision-making and policy-making. However, such predictions made by software …
improved decision-making and policy-making. However, such predictions made by software …