Results 221 to 230 of about 16,975 (265)

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

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, Abdelaziz, Abboudi, Ilyes, Boulkaibet, Allouani, Fouad, Chadli, Mohammed   +4 more
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Can Cohesion Predict Fault Density?

IEEE International Conference on Computer Systems and Applications, 2006., 2006
Cohesion is an internal software attribute which depicts how well the components of a software module are connected. It is thought of as having effect on the quality of the software system. This paper presents the results of an empirical investigation of whether cohesion of object-oriented systems plays a role on software reliability.
A. Abubakar, J. AlGhamdi, M. Ahmed
openaire   +1 more source

Analog Microcircuit Fault Prediction

1994
Abstract : This report documents an effort to determine the feasibility of constructing a realistic fault set for a given analog microcircuit from the information provided by a microcircuit yield simulator program. A methodology for this was developed and demonstrated using a simple PMOS process.
C. D. Stokes, Michael J. Willis, John H. Bordelon, Richard M. Ingle   +3 more
openaire   +1 more source

Software Fault Prediction Process

2018
Accurate detection and early removal of software faults during the software development can reduce the overall cost of software development and can result in the improved software quality product. These inherent advantages of software fault prediction have attracted many researchers to focus on the software fault prediction.
Sandeep Kumar, Santosh Singh Rathore
openaire   +1 more source

Predicting and Classifying Software Faults

Proceedings of the 2019 7th International Conference on Computer and Communications Management, 2019
In the field of software engineering, the detection of fault in the software has become a major topic to explore. With the help of data mining and machine learning approaches, this paper aims to denote whether a software is fault prone or not. In order to accomplish that this paper gives importance to compare between different machine learning ...
Shamse Tasnim Cynthia, Shamim H. Ripon
openaire   +1 more source

Fault prediction for analog circuits

Circuits, Systems, and Signal Processing, 1988
The main problems that are the major concern in network testing are fault detection, fault location, and fault prediction. In this paper a multiple-fault-prediction algorithm is proposed for analog circuits with inaccessible nodes. The components in the circuits may be nominals or may be deviated from the nominals within a prescribed tolerance.
Jiang, Ben-Lu, Wey, Chin-Long, Fan, Li-Juan   +2 more
openaire   +1 more source