Results 21 to 30 of about 9,947 (259)

Software Fault Prediction Using an RNN-Based Deep Learning Approach and Ensemble Machine Learning Techniques

open access: yesApplied Sciences, 2023
Alongside the modern software development life cycle approaches, software testing has gained more importance and has become an area researched actively within the software engineering discipline.
Emin Borandag
doaj   +1 more source

Efficacy of Inheritance Aspect in Software Fault Prediction—A Survey Paper

open access: yesIEEE Access, 2020
Software fault prediction (SFP) is a research area that helps development and testing process deliver software of good quality. Software metrics are of various types and are used in SFP for measurements. Inheritance is a prominent feature, which measures
Syed Rashid Aziz   +2 more
doaj   +1 more source

Inheritance metrics feats in unsupervised learning to classify unlabeled datasets and clusters in fault prediction [PDF]

open access: yesPeerJ Computer Science, 2021
Fault prediction is a necessity to deliver high-quality software. The absence of training data and mechanism to labeling a cluster faulty or fault-free is a topic of concern in software fault prediction (SFP).
Syed Rashid Aziz   +2 more
doaj   +2 more sources

Identification of Fault Prone Components in Multimedia Software based on Optimal Threshold Values decided using Genetic Algorithm [PDF]

open access: yesJournal of Universal Computer Science
Fault prediction of multimedia software is necessary to develop good quality multimedia software because integrating various multimedia heterogeneous components in a software system usually generates many faults.
Manpreet Singh, Jitender Kumar Chhabra
doaj   +3 more sources

A fuzzy logic expert system to predict module fault proneness using unlabeled data

open access: yesJournal of King Saud University: Computer and Information Sciences, 2020
Several techniques have been proposed to predict the fault proneness of software modules in the absence of fault data. However, the application of these techniques requires an expert assistant and is based on fixed thresholds and rules, which potentially
Golnoush Abaei   +2 more
doaj   +1 more source

A hybrid approach based on k-nearest neighbors and decision tree for software fault prediction

open access: yesKuwait Journal of Science, 2023
Software testing is a very important part of the software development life cycle to develop reliable and bug-free software but it consumes a lot of resources like development time, cost, and effort.
Manpreet Singh, Jitender Kumar Chhabra
doaj   +1 more source

Software Fault Estimation Framework based on aiNet [PDF]

open access: yesInternational Journal of Computational Intelligence Systems, 2014
Software fault prediction techniques are helpful in developing dependable software. In this paper, we proposed a novel framework that integrates testing and prediction process for unit testing prediction.
Qian Yin, Ruiyi Luo, Ping Guo
doaj   +1 more source

Software Reliability Prediction through Encoder-Decoder Recurrent Neural Networks [PDF]

open access: yesInternational Journal of Mathematical, Engineering and Management Sciences, 2022
With the growing demand for high reliability and safety software, software reliability prediction has attracted more and more attention to identifying potential faults in software.
Chen Li   +3 more
doaj   +1 more source

The Empirical Study of Semi-Supervised Deep Fuzzy C-Mean Clustering for Software Fault Prediction

open access: yesIEEE Access, 2018
Software fault prediction is a very consequent research topic for software quality assurance. The performance of fault prediction model depends on the features that are used to train it.
Ali Arshad   +3 more
doaj   +1 more source

Software Fault-Proneness Analysis based on Composite Developer-Module Networks

open access: yesIEEE Access, 2021
Existing software fault-proneness analysis and prediction models can be categorized into software metrics and visualized approaches. However, the studies of the software metrics solely rely on the quantified data, while the latter fails to reflect the ...
Shou-Yu Lee   +3 more
doaj   +1 more source

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