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Published in 2021 at "Journal of Software: Evolution and Process"
DOI: 10.1002/smr.2312
Abstract: Many fault localization approaches recently utilize deep learning to learn an effective localization model showing a fresh perspective with promising results. However, localization models are generally learned from class imbalance datasets; that is, the number…
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Keywords:
fault localization;
deep learning;
learning based;
localization ... See more keywords
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Published in 2017 at "International Journal of Parallel Programming"
DOI: 10.1007/s10766-017-0526-x
Abstract: Fault localization has become an increasingly challenging issue in high-performance computing (HPC) systems. Various techniques have been used for HPC systems. However, as the HPC systems scale out, resulting in the rapid deterioration of the…
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Keywords:
framework;
fault;
fault localization;
high performance ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2966540
Abstract: Model transformations and model-driven engineering (MDE) have been applied widely in service-oriented architecture based information systems. To support the development of such a service-oriented information system, it is necessary to guarantee the quality of model…
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Keywords:
fault localization;
model;
test;
model transformations ... See more keywords
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Published in 2023 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2022.3167138
Abstract: Fault localization is one of the most important issues for modular multilevel converters (MMCs) consisting of numerous switches. This article proposes an isolation forest (IF) based submodule (SM) switch open-circuit fault localization method for MMCs.…
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Keywords:
localization method;
fault;
modular multilevel;
fault localization ... See more keywords
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Published in 2017 at "IEEE Transactions on Reliability"
DOI: 10.1109/tr.2017.2688487
Abstract: The effectiveness of spectrum-based fault localization techniques primarily relies on the accuracy of their fault localization formulas. Theoretical studies prove the relative accuracy orders of selected formulas under certain assumptions, forming a graph of their…
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Keywords:
spectrum based;
based fault;
fault localization;
accuracy ... See more keywords
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Published in 2022 at "IEEE Transactions on Reliability"
DOI: 10.1109/tr.2022.3140453
Abstract: Fault localization aims at developing an effective methodology identifying suspicious statements potentially responsible for program failures. The spectrum-based fault localization is the widely used methodology by analyzing the statistical coincidences viewed from the spectrum to…
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Keywords:
feature based;
feature;
fault localization;
methodology ... See more keywords
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Published in 2022 at "IEEE Transactions on Reliability"
DOI: 10.1109/tr.2022.3165126
Abstract: To improve the efficiency of the fault localization process, different automatic fault localization approaches have been proposed. Among these approaches, the spectrum-based fault localization (SBFL) approach has been widely used and studied due to its…
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Keywords:
test cases;
fault;
analysis;
fault localization ... See more keywords
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Published in 2021 at "IEEE Transactions on Software Engineering"
DOI: 10.1109/tse.2019.2911283
Abstract: Manual debugging is notoriously tedious and time-consuming. Therefore, various automated fault localization techniques have been proposed to help with manual debugging. Among the existing fault localization techniques, spectrum-based fault localization (SBFL) is one of the…
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Keywords:
fault localization;
mml;
prfl;
math ... See more keywords
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Published in 2022 at "IEEE Transactions on Software Engineering"
DOI: 10.1109/tse.2020.2987862
Abstract: Fault localization is a crucial step of automated program repair, because accurately identifying program locations that are most closely implicated with a fault greatly affects the effectiveness of the patching process. An ideal fault localization…
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Keywords:
program repair;
fault localization;
fault;
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Published in 2017 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2016.2523905
Abstract: Detecting and diagnosing unwanted behavior in multiagent systems (MASs) are crucial to ascertain correct operation of agents. Current techniques assume a priori knowledge to identify unexpected behavior. However, generation of MAS models is both error-prone…
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Keywords:
mas;
esfl mas;
fault localization;
evaluation ... See more keywords
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Published in 2020 at "Journal of Cloud Computing"
DOI: 10.1186/s13677-020-00164-z
Abstract: With the development of information technology such as cloud computing, IoT, etc, software becomes the infrastructure. On the one hand, it is critical to ensure the reliability of software, on the other, sample code can…
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Keywords:
cloud computing;
fault localization;
failure propagation;