Results 41 to 50 of about 281,995 (369)
Software Reliability Prediction through Encoder-Decoder Recurrent Neural Networks [PDF]
International 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
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Prediction intervals for reliability growth models with small sample sizes [PDF]
, 2006 Engineers and practitioners contribute to society through their ability to apply basic scientific principles to real problems in an effective and efficient manner.
Quigley, J.L., Walls, L.A.
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Software Fault-Proneness Analysis based on Composite Developer-Module Networks
IEEE 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
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Sensors, 2022 Software defect prediction studies aim to predict defect-prone components before the testing stage of the software development process. The main benefit of these prediction models is that more testing resources can be allocated to fault-prone modules ...
Manzura Jorayeva +3 more
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A systematic review of software fault prediction studies
Expert Systems with Applications, 2009 This paper provides a systematic review of previous software fault prediction studies with a specific focus on metrics, methods, and datasets. The review uses 74 software fault prediction papers in 11 journals and several conference proceedings. According to the review results, the usage percentage of public datasets increased significantly and the ...
Catal, Cagatay, Diri, Banu
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The Effect of Environmental Metrics on Software Fault Prediction
International 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
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Sensors, 2021 The automatic localization of software faults plays a critical role in assisting software professionals in fixing problems quickly. Despite various existing models for fault tolerance based on static features, localization is still challenging.
Abdulaziz Alhumam
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Estimating Residual Faults from Code Coverage [PDF]
, 2002 Many reliability prediction techniques require an estimate for the number of residual faults. In this paper, a new theory is developed for using test coverage to estimate the number of residual faults.
A. Pasquini, M. Lipow, W. Farr
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The problems of assessing software reliability ...When you really need to depend on it [PDF]
, 2000 This paper looks at the ways in which the reliability of software can be assessed and predicted. It shows that the levels of reliability that can be claimed with scientific justification are relatively ...
Littlewood, B.
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A Novel Software Reliability Growth Model Based on Generalized Imperfect Debugging NHPP Framework
IEEE Access, 2023 Non-Homogeneous Poisson Process (NHPP) is a standard framework in the field of software reliability analysis. The core of NHPP consists in determining the Mean Value Function (MVF) of cumulative error number at a specific time slot.
Hang Luo +4 more
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