Results 11 to 20 of about 9,202 (166)
Software Fault Prediction Using Deep Learning Techniques
Software Quality Journal, 2022 Abstract Software fault prediction (SFP) techniques are used to identify faults at the early stages of the software development life cycle (SDLC). We find machine learning techniques as commonly used techniques for SFP as compared to deep learning methods which can produce more accurate results.
Iqra Batool, Tamim Ahmed Khan
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Explaining software fault predictions to spreadsheet users
Journal of Systems and Software, 2022 A variety of automated software fault prediction techniques was proposed in recent years, in particular for the important class of spreadsheet programs. Software fault prediction techniques commonly create ranked lists of "suspicious'' program statements for developers to inspect.
Mukhtar, Adil +3 more
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Cross-Project Defect Prediction: A Literature Review
IEEE Access, 2022 Background: Software defect prediction models aim at identifying the potential faulty modules of a software project based on historical data collected from previous versions of the same project.
Sourabh Pal, Alberto Sillitti
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Engineering 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
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Applying Machine Learning to Software Fault Prediction [PDF]
e-Informatica Software Engineering Journal, 2018 Introduction: Software engineering continuously suffers from inadequate software testing. The automated prediction of possibly faulty fragments of source code allows developers to focus development efforts on fault-prone fragments first. Fault prediction
Bartłomiej Wójcicki, Robert Dąbrowski
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Software Fault-Freeness and Reliability Predictions [PDF]
, 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.
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Software Fault Prediction using Language Processing [PDF]
Testing: Academic and Industrial Conference Practice and Research Techniques - MUTATION (TAICPART-MUTATION 2007), 2007 Accurate prediction of faulty modules reduces the cost of software development and evolution. Two case studies with a language-processing based fault prediction measure are presented. The measure, refereed to as a QALP score, makes use of techniques from information retrieval to judge software quality.
BINKLEY D +3 more
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Applied 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
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Inheritance metrics feats in unsupervised learning to classify unlabeled datasets and clusters in fault prediction [PDF]
PeerJ 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
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Efficacy of Inheritance Aspect in Software Fault Prediction—A Survey Paper
IEEE 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
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