Empirical assessment of machine learning based software defect prediction techniques
VUB Challagulla, FB Bastani, IL Yen… - International Journal on …, 2008 - World Scientific
Automated reliability assessment is essential for systems that entail dynamic adaptation
based on runtime mission-specific requirements. One approach along this direction is to …
based on runtime mission-specific requirements. One approach along this direction is to …
Software defect prediction: do different classifiers find the same defects?
During the last 10 years, hundreds of different defect prediction models have been
published. The performance of the classifiers used in these models is reported to be similar …
published. The performance of the classifiers used in these models is reported to be similar …
Multiple kernel ensemble learning for software defect prediction
T Wang, Z Zhang, X Jing, L Zhang - Automated Software Engineering, 2016 - Springer
Software defect prediction aims to predict the defect proneness of new software modules
with the historical defect data so as to improve the quality of a software system. Software …
with the historical defect data so as to improve the quality of a software system. Software …
Classification framework for faulty-software using enhanced exploratory whale optimizer-based feature selection scheme and random forest ensemble learning
Abstract Software Fault Prediction (SFP) is an important process to detect the faulty
components of the software to detect faulty classes or faulty modules early in the software …
components of the software to detect faulty classes or faulty modules early in the software …
Two-stage cost-sensitive learning for software defect prediction
M Liu, L Miao, D Zhang - IEEE Transactions on Reliability, 2014 - ieeexplore.ieee.org
Software defect prediction (SDP), which classifies software modules into defect-prone and
not-defect-prone categories, provides an effective way to maintain high quality software …
not-defect-prone categories, provides an effective way to maintain high quality software …
Feature selection with imbalanced data for software defect prediction
TM Khoshgoftaar, K Gao - 2009 International Conference on …, 2009 - ieeexplore.ieee.org
In this paper, we study the learning impact of data sampling followed by attribute selection
on the classification models built with binary class imbalanced data within the scenario of …
on the classification models built with binary class imbalanced data within the scenario of …
Principal component based support vector machine (PC-SVM): a hybrid technique for software defect detection
M Mustaqeem, M Saqib - Cluster Computing, 2021 - Springer
Defects are the major problems in the current situation and predicting them is also a difficult
task. Researchers and scientists have developed many software defects prediction …
task. Researchers and scientists have developed many software defects prediction …
An ensemble oversampling model for class imbalance problem in software defect prediction
Software systems are now ubiquitous and are used every day for automation purposes in
personal and enterprise applications; they are also essential to many safety-critical and …
personal and enterprise applications; they are also essential to many safety-critical and …
Software defect prediction ensemble learning algorithm based on adaptive variable sparrow search algorithm
Y Tang, Q Dai, M Yang, T Du, L Chen - International Journal of Machine …, 2023 - Springer
Software defect prediction has caused widespread concern among software engineering
researchers, which aims to erect a software defect prediction model according to historical …
researchers, which aims to erect a software defect prediction model according to historical …
Software defect prediction techniques using metrics based on neural network classifier
R Jayanthi, L Florence - Cluster Computing, 2019 - Springer
Software industries strive for software quality improvement by consistent bug prediction, bug
removal and prediction of fault-prone module. This area has attracted researchers due to its …
removal and prediction of fault-prone module. This area has attracted researchers due to its …