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A single fault localization technique based on failed test input

https://doi.org/10.1016/j.array.2019.100008

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Parallel debugging: An investigative study

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Software execution processes as an evolving complex network☆

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Fault localization based on statement frequency

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Simultaneous debugging of software faults

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Fault localization using disparities of dynamic invariants

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Statistical Fault Localization Based on Importance Sampling

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On the Accuracy of Spectrum-based Fault Localization

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Debugging From the Student Perspective

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The DStar Method for Effective Software Fault Localization

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Accuracy Graphs of Spectrum-Based Fault Localization Formulas

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BP NEURAL NETWORK-BASED EFFECTIVE FAULT LOCALIZATION

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Locating causes of program failures

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A novel variable-centric fault localization technique

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Proceedings of the 27th ACM SIGSOFT International Symposium on Software Testing and Analysis

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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Model Checking-Enhanced Spectrum-Based Fault Localization

inferred← citeshttps://doi.org/10.1007/s11334-024-00558-1openalex-snapshot

A bounded constraint-based approach to aid in fault localization from a counterexample

inferred← citeshttps://doi.org/10.1007/s11390-020-0549-4openalex-snapshot

FATOC: Bug Isolation Based Multi-Fault Localization by Using OPTICS Clustering

inferred← citeshttps://doi.org/10.1016/j.jss.2022.111429openalex-snapshot

Fault localization using function call frequencies

inferred← citeshttps://doi.org/10.1016/j.jss.2025.112363openalex-snapshot

SBFL fault localization considering fault-proneness

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On Context Switching in Spectrum-Based Fault Localization

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Adopting Pre-and Post-processing Weight Mechanisms to Improve Deep Learning-based Fault Localization

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Combining Model Checking and Spectrum-Based Fault Localization with Multiple Counterexamples

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Software fault localization based on eigenvector centrality in complex network theory

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On the Stability and Applicability of Deep Learning in Fault Localization

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Effective Lightweight Software Fault Localization based on Test Suite Optimization

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Triggering Modes in Spectrum-Based Multi-location Fault Localization

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Context Switch Sensitive Fault Localization

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A Software Fault Localization Method Based on Shortest Path Screening Between Test Cases

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New Algorithms and Benchmarks for Supporting Spectrum-Based Fault Localization

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Explainable Software Fault Localization Model: From Blackbox to Whitebox

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Software Fault Localization Based on Weighted Association Rule Mining and Complex Networks

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

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