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Research on the Transformer Failure Diagnosis Method Based on Fluorescence Spectroscopy Analysis and SBOA Optimized BPNN. [PDF]
Sensors (Basel)Chen X, Li D, Wang A.
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A study on software fault prediction techniques
Artificial Intelligence Review, 2017Software fault prediction aims to identify fault-prone software modules by using some underlying properties of the software project before the actual testing process begins.
Sandeep Kumar, Santosh Singh Rathore
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A Study on Modeling Techniques in Software Fault Prediction
2021 2nd International Conference on Secure Cyber Computing and Communications (ICSCCC), 2021Software fault prediction is a key area in the field of software engineering. Fault can occur in any stage of software development but if it is not correctly identified and removed, it may lead to system failure. The main purpose of software fault prediction is to find faults prior to the testing phase, which will further decrease the time and cost of ...
Kuldeep Kumar +2 more
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A new Ensemble approach for Software Fault Prediction
2020 17th International Bhurban Conference on Applied Sciences and Technology (IBCAST), 2020Software Fault prediction is about prediction of faulty modules in the software systems. This prediction is done using different metrics such as lines of code, depth of inheritance tree etc. The fault prediction is carried out during early stages of development, as it decreases the maintenance costs and improve the software quality.
Saima Kanwal +2 more
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Software Fault Prediction using Wrapper based Feature Selection Approach employing Genetic Algorithm
2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON), 2023Software fault prediction helps in early identification of software faults and as a result it improves the software quality. It uses previous software metrics and fault data as independent features, to detect whether there is a fault in the software or ...
H. Kumar, Himansu Das
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Issue-Driven Features for Software Fault Prediction
SSRN Electronic Journal, 2022Amir Elmishali, Meir Kalech
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Generative Oversampling Methods for Handling Imbalanced Data in Software Fault Prediction
IEEE Transactions on Reliability, 2022Imbalanced software fault datasets, having fewer faulty modules than the nonfaulty modules, make accurate fault prediction difficult. It is challenging for software practitioners to handle imbalanced fault data during software fault prediction (SFP ...
S. Rathore +3 more
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