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A Belief Network Reasoning Framework for Fault Localization in Communication Networks [PDF]

open access: yesSensors, 2020
A small fault in a large communication network may cause abrupt and large alarms, making the localization of the root cause of failure a difficult task.
Rongyu Liang, Feng Liu, Jie Liu
doaj   +2 more sources

Software Fault Localization through Aggregation-Based Neural Ranking for Static and Dynamic Features Selection [PDF]

open access: yesSensors, 2021
The automatic localization of software faults plays a critical role in assisting software professionals in fixing problems quickly. Despite various existing models for fault tolerance based on static features, localization is still challenging.
Abdulaziz Alhumam
doaj   +2 more sources

Fault Localization Models in Debugging [PDF]

open access: yes2017 International Conference on Infocom Technologies and Unmanned Systems (Trends and Future Directions) (ICTUS), 2018
Debugging is considered as a rigorous but important feature of software engineering process. Since more than a decade, the software engineering research community is exploring different techniques for removal of faults from programs but it is quite ...
Alansari, Zainab   +3 more
core   +2 more sources

Lithospheric models supported by the Caribbean and Levant examples help rethink transpression at plate boundaries [PDF]

open access: yesNature Communications
Strike-slip restraining bends, such as the Levant Fault, belonging to push-up systems and the Jamaican fault network, belonging to duplex systems, display a diversity of fault geometries and deformation patterns that reflect distinct modes of ...
Anthony Jourdon   +4 more
doaj   +2 more sources

Variability fault localization [PDF]

open access: yesProceedings of the 25th ACM International Systems and Software Product Line Conference - Volume A, 2021
Software fault localization is one of the most expensive, tedious, and time-consuming activities in program debugging. This activity becomes even much more challenging in Software Product Line (SPL) systems due to the variability of failures in SPL systems. These unexpected behaviors are caused by variability faults which can only be exposed under some
Ngo, Kien-Tuan   +3 more
openaire   +2 more sources

Effectively Combining Risk Evaluation Metrics for Precise Fault Localization

open access: yesMathematics, 2022
Spectrum-based fault localization (SBFL) is an automated fault localization technique that uses risk evaluation metrics to compute the suspiciousness scores from program spectra.
Adekunle Ajibode   +3 more
doaj   +1 more source

A PON Monitoring System Integrating Fault Detection and Localization

open access: yesIEEE Photonics Journal, 2022
We propose and experimentally demonstrate an integrated passive optical network monitoring system for fault detection and localization. Fault detection technology is based on the recognition of reflection spectrum generated by each single fiber Bragg ...
Xuan Zhang, Tianfeng Yang, Xinhong Jia
doaj   +1 more source

Model and Data-Driven Combination: A Fault Diagnosis and Localization Method for Unknown Fault Size of Quadrotor UAV Actuator Based on Extended State Observer and Deep Forest

open access: yesSensors, 2022
The rotor is an essential actuator of quadrotor UAV, and is prone to failure due to high speed rotation and environmental disturbances. It is difficult to diagnose rotor faults and identify the fault localization simultaneously. In this paper, we propose
Jia Song   +3 more
doaj   +1 more source

A Fault Localization Method Based on Metrics Combination

open access: yesMathematics, 2022
Spectrum-Based Fault Localization (SBFL) is one of the most effective fault localization techniques, and its performance closely depends on the program spectra and the ranking formula.
Adekunle Ajibode   +3 more
doaj   +1 more source

Fault Localization for Reinforcement Learning

open access: yes2023 IEEE International Conference On Artificial Intelligence Testing (AITest), 2023
Reinforcement Learning is widely adopted in industry to approach control tasks in intelligent way. The quality of these programs is important especially when they are used for critical tasks like autonomous driving. Testing and debugging these programs are complex because they behave autonomously without providing insights about the reasons of the ...
Morán J   +3 more
openaire   +2 more sources

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