Results 241 to 250 of about 239,815 (291)

Fault-tolerant model predictive control with active fault isolation

2013 Conference on Control and Fault-Tolerant Systems (SysTol), 2013
A 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, G. R. Marseglia, R. D. Braatz, J. K. Scott   +3 more
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Software fault prediction tool

Proceedings of the 19th international symposium on Software testing and analysis, 2010
We have developed an interactive tool that predicts fault likelihood for the individual files of successive releases of large, long-lived, multi-developer software systems. Predictions are the result of a two-stage process: first, the extraction of current and historical properties of the system, and second, application of a negative binomial ...
Thomas J. Ostrand, Elaine J. Weyuker
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Programmer-based fault prediction

Proceedings of the 6th International Conference on Predictive Models in Software Engineering, 2010
Background: Previous research has provided evidence that a combination of static code metrics and software history metrics can be used to predict with surprising success which files in the next release of a large system will have the largest numbers of defects.
Thomas J. Ostrand, Elaine J. Weyuker, Robert M. Bell   +2 more
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Predicting fault detection effectiveness

Proceedings Fourth International Software Metrics Symposium, 2002
Regression methods are used to model software fault detection effectiveness in terms of several product and testing process measures. The relative importance of these product/process measures for predicting fault detection effectiveness is assessed for a specific data set.
J.A. Morgan, G.J. Knafl, W.E. Wong
openaire   +1 more source

Software fault prediction

Journal of Systems and Software, 1995
Abstract Cost-effective and timely software development methods are essential today as software costs and backlogs escalate while applications are developed in rapidly changing environments. Focusing testing efforts on those portions of the code with the largest number of faults can reduce development costs and time, but requires prediction of the ...
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INCREMENTAL DEVELOPMENT OF FAULT PREDICTION MODELS

International Journal of Software Engineering and Knowledge Engineering, 2013
The 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 ...
Jiang, J. Y, Čukić, Bojan, Menzies, Tom, Lin, J.   +3 more
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Clustering for Fault Prediction with CLUFFP

2014 40th EUROMICRO Conference on Software Engineering and Advanced Applications, 2014
In this tool demonstration paper, we present CLUFFP (Clustering For Fault Prediction) an Eclipse plug-in to group source code classes. The clustering approach implemented in our Eclipse plug-in has been successfully applied in the context of fault prediction of object oriented software systems.
Trillo, E., Tognotta, G. G., SCANNIELLO, GIUSEPPE   +2 more
openaire   +1 more source

Software Fault Prediction Based on Fault Probability and Impact

2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA), 2019
Nowadays, 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
openaire   +1 more source

Quantitative Fault Seal Prediction

AAPG Bulletin, 1997
Fault seal can arise from reservoir/nonreservoir juxtaposition or by development of fault rock having high entry pressure. The methodology for evaluating these possibilities uses detailed seismic mapping and well analysis. A first-order seal analysis involves identifying reservoir juxtaposition areas over the fault surface by using the mapped horizons ...
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Fault Prediction for Dynamic Systems with State-Dependent Faults

2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC), 2009
This paper is concerned with the fault prediction problem for a class of systems with state-dependent faults. we first bring forward the idea of separating the internal stimulated faults from the external stimulated ones. The fault is modeled as the product of the external and internal stimulation sources.
Guibin Xu, Donghua Zhou
openaire   +1 more source