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Software Fault Prediction Based on Fault Probability and Impact
2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA), 2019Nowadays, software tests prioritization is a crucial task. Indeed, testing exhaustively the whole software system can be very difficult, heavily time and resources consuming. Using machine learning algorithms to predict which parts of a software system are fault-prone can help testers to focus on high-risk parts of the code and improve resources ...
Salim Moudache, Mourad Badri
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A Taxonomy of Metrics for Software Fault Prediction
2020 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), 2020Researchers in the field of Software Fault Prediction (SFP) make use of software metrics to build predictive models, for example, by means of machine learning and statistical techniques. The number of metrics used for SFP has increased dramatically in the last few decades.
Maria Caulo, Giuseppe Scanniello
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INCREMENTAL DEVELOPMENT OF FAULT PREDICTION MODELS
International Journal of Software Engineering and Knowledge Engineering, 2013The identification of fault-prone modules has a significant impact on software quality assurance. In addition to prediction accuracy, one of the most important goals is to detect fault prone modules as early as possible in the development lifecycle. Requirements, design, and code metrics have been successfully used for predicting fault-prone modules ...
Yue Jiang 0001 +3 more
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Fault-tolerant model predictive control with active fault isolation
2013 Conference on Control and Fault-Tolerant Systems (SysTol), 2013A robust control method is presented for linear systems subject to input and state constraints, bounded disturbances and measurement noise, and discrete faults in sensors, actuators, and system dynamics. The approach uses set-based fault detection and isolation techniques to coordinate switching between controllers designed for each fault scenario.
RAIMONDO, DAVIDE MARTINO +3 more
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Alarm processing for predictive fault diagnosis
Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA), 2014This work proposes a methodology based on online processing of alarms with the objective of identifying proactively possible failures of industrial processes operation. For this, a knowledge base that relates failure scenarios previously registered is used then the feasibility of each failure scenario is continuously assessed based on the possibility ...
Gustavo Bezerra Paz Leitao +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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Fault prediction and modelling in transport networks
2018 IEEE International Symposium on Circuits and Systems (ISCAS), 2018Engineered transport networks occur in many domains: road networks, power grids, the internet and utility distribution. Such networks present a generic problem — how does one model and predict failure of components within them? In this paper we will use the example of a metropolitan water distribution network to model and predict failure based on ...
Ashleigh Ballantyne +4 more
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An IoT Application for Fault Diagnosis and Prediction
2015 IEEE International Conference on Data Science and Data Intensive Systems, 2015Internet of Things (IoT) has become an important topic in both industry and academia for the recent years as it offers great potentials in numerous real world applications. This paper considers the problem of fault diagnosis and prediction from IoT data collected in the process industry.
Chen Wang, Hoang Tam Vo, Peng Ni
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Research on Fault Prediction of Aircraft Engine
2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2018To improve the flight efficiency and ensure the flight reliability of the aircraft, a data mining model for aero engine fault prediction based on fuzzy clustering is presented. On the basis of data acquisition and analysis, the engine data mining model is constructed, and the maintenance data of a certain type of aero engine is clustered by using fuzzy
Chang-Bin Xu +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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