Results 21 to 30 of about 11,335 (296)

Multiple-classifiers in software quality engineering: Combining predictors to improve software fault prediction ability

open access: yesEngineering Science and Technology, an International Journal, 2020
Software development projects require a critical and costly testing phase to investigate efficiency of the resultant product. As the size and complexity of project increases, manual prediction of software defects becomes a time consuming and costly task.
Fatih Yucalar   +3 more
doaj   +1 more source

The Effect of Environmental Metrics on Software Fault Prediction

open access: yesInternational Journal of Software Engineering and Knowledge Engineering, 2022
In this study, besides the software metrics, the environmental metrics such as experience of software engineer, similar project experience, size of the project, programming language, time spent on analysis and development are also explored to see whether they also affect the results of software fault prediction and what would be the success rates. The
Merve Odabasi, Ensar Gul
openaire   +3 more sources

Software Fault-Freeness and Reliability Predictions [PDF]

open access: yes, 2013
Many software development practices aim at ensuring that software is correct, or fault-free. In safety critical applications, requirements are in terms of probabilities of certain behaviours, e.g. as associated to the Safety Integrity Levels of IEC 61508.
Strigini, L., Povyakalo, A. A.
openaire   +2 more sources

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

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

A general software defect-proneness prediction framework [PDF]

open access: yes, 2011
This is the author's accepted manuscript. The final published article is available from the link below. Copyright @ 2011 IEEE. Personal use of this material is permitted.
Jin Liu   +9 more
core   +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

Researcher bias: The use of machine learning in software defect prediction [PDF]

open access: yes, 2014
This is the author's accepted manuscript. The final published article is available from the link below. Copyright @ 2014 IEEE. Personal use of this material is permitted.
Bowes, David   +5 more
core   +1 more source

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

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