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Predicting Faults in High Assurance Software
2010 IEEE 12th International Symposium on High Assurance Systems Engineering, 2010Reducing the number of latent software defects is a development goal that is particularly applicable to high assurance software systems. For such systems, the software measurement and defect data is highly skewed toward the not-fault-prone program modules, i.e., the number of fault-prone modules is relatively very small.
Naeem Seliya +2 more
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Transfer Learning for Predicting Software Faults
2019 11th International Conference on Knowledge and Systems Engineering (KSE), 2019This paper investigates a transfer learning application for predicting software faults. Detecting faulty modules in software projects is challenging due to two main issues 1) the low quality of existing handcrafted features leads to the bad performance of traditional learning models and 2) the shortage of annotated data hinders applying deep neural ...
Viet-Anh Phan +2 more
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Predicting the Effect of Hardware Fault Injection
2019 International Workshop on Big Data and Information Security (IWBIS), 2019Fault attacks on the hardware are now common to extract valuable information from a device. The most used means is the electromagnetic perturbation. Designers have to verify how robust are their designs against this kind of attack. We designed a prediction tool that generates mutants according to a fault model and then checks security properties on the
Boespflug, Etienne +2 more
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A survey on fault prediction and fault detection
AIP Conference Proceedings, 2023Megala Ranjith +3 more
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Techniques for evaluating fault prediction models
Empirical Software Engineering, 2008Many statistical techniques have been proposed to predict fault-proneness of program modules in software engineering. Choosing the “ best” candidate among many available models involves performance assessment and detailed comparison, but these comparisons are not simple due to the applicability of varying performance measures. Classifying a
Yue Jiang 0001, Bojan Cukic, Yan Ma
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Fault prediction of the nonlinear systems with uncertainty
Simulation Modelling Practice and Theory, 2008Abstract Fault prediction which can forecast the fault in advance to avoid large calamity has attracted more and more attention. However, the current filter based fault prediction methods for the nonlinear systems are all based on the framework of the probability theory, and cannot realize fault prediction of the nonlinear systems with fuzzy ...
Zhi-Jie Zhou 0001 +3 more
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Fault-Tolerant Predictive Control with Sensor Faults
In this paper, a Fault-Tolerant Model Predictive Controller (FTMPC) is developed for linear Variable Parameter Systems (LPVs) subject to sensor faults and input constraints. First, an augmented state-space model contains both state variables and estimation error is used to synthesize a robust predictive controller while an observer is designed to ...Sofiane, Bououden +4 more
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Bridging fault localisation and defect prediction
Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Companion Proceedings, 2020Identifying the source of a program failure plays an integral role in maintaining software quality. Both fault localisation and defect prediction aim to locate faults: fault localisation aims to locate faults after they are revealed while defect prediction aims to locate yet-to-happen faults.
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An Experience in the Evaluation of Fault Prediction
2023Luigi Lavazza +2 more
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Vulnerability Prediction Against Fault Attacks.
ERCIM News, 2016Fault-injection exploits hardware weaknesses to perturbate the behaviour of embedded devices. Here, we present new model-based techniques and tools to detect such attacks developed at the High-Security Laboratory at Inria.
Jafri, Nisrine +2 more
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