A systematic literature review on software defect prediction using artificial intelligence: Datasets, Data Validation Methods, Approaches, and Tools
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 …
Empirical study of software defect prediction: a systematic map**
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 map** to analyze all the software …
software quality. In this paper, we perform a systematic map** to analyze all the software …
TLEL: A two-layer ensemble learning approach for just-in-time defect prediction
Context Defect prediction is a very meaningful topic, particularly at change-level. Change-
level defect prediction, which is also referred as just-in-time defect prediction, could not only …
level defect prediction, which is also referred as just-in-time defect prediction, could not only …
A comparison of some soft computing methods for software fault prediction
E Erturk, EA Sezer - Expert systems with applications, 2015 - Elsevier
The main expectation from reliable software is the minimization of the number of failures that
occur when the program runs. Determining whether software modules are prone to fault is …
occur when the program runs. Determining whether software modules are prone to fault is …
Empirical analysis of change metrics for software fault prediction
GR Choudhary, S Kumar, K Kumar, A Mishra… - Computers & Electrical …, 2018 - Elsevier
A quality assurance activity, known as software fault prediction, can reduce development
costs and improve software quality. The objective of this study is to investigate change …
costs and improve software quality. The objective of this study is to investigate change …
Analysis and modeling conditional mutual dependency of metrics in software defect prediction using latent variables
Software defect prediction constitutes an important discipline in software development life-
cycle. Among the techniques employed in this domain, Naive Bayes (NB) classifier is cited …
cycle. Among the techniques employed in this domain, Naive Bayes (NB) classifier is cited …
Comparison of machine learning techniques for software quality prediction
S Goyal, PK Bhatia - … Journal of Knowledge and Systems Science …, 2020 - igi-global.com
Software quality prediction is one the most challenging tasks in the development and
maintenance of software. Machine learning (ML) is widely being incorporated for the …
maintenance of software. Machine learning (ML) is widely being incorporated for the …
Explaining mispredictions of machine learning models using rule induction
While machine learning (ML) models play an increasingly prevalent role in many software
engineering tasks, their prediction accuracy is often problematic. When these models do …
engineering tasks, their prediction accuracy is often problematic. When these models do …
Iterative software fault prediction with a hybrid approach
E Erturk, EA Sezer - Applied Soft Computing, 2016 - Elsevier
In this study, we consider a software fault prediction task that can assist a developer during
the lifetime of a project. We aim to improve the performance of software fault prediction task …
the lifetime of a project. We aim to improve the performance of software fault prediction task …
Hyperparameter analysis of wide-kernel cnn architectures in industrial fault detection: an exploratory study
Industrial fault detection has become more data-driven due to advancements in automated
data analysis using deep learning. Such methods make it possible to extract useful features …
data analysis using deep learning. Such methods make it possible to extract useful features …