Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization | Paper Citation Record

Observation e1e62b22-dd42-43ca-a1a7-cabfb06c77ac · outbound

This paper cites Fault localization using visualization of test information.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Fault localization using visualization of test information

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:53.078092Z

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Observation b940b82f-2dd2-44cd-b671-dae371f47c88 · outbound

This paper cites Empirical evaluation of the tarantula automatic fault-localization technique.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Empirical evaluation of the tarantula automatic fault-localization technique

Reference 2

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Observation 9eaf4d9b-cde5-42d5-9238-783ad2b8e9a7 · outbound

This paper cites Deepfl: Integrating multiple fault diagnosis dimensions for deep fault localization.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Deepfl: Integrating multiple fault diagnosis dimensions for deep fault localization

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:52.962321Z

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Observation 727b63c0-0c0d-4767-b2ab-409f2f7511f2 · outbound

This paper cites Fault localization with code coverage representation learning.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Fault localization with code coverage representation learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:52.794839Z

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Observation c1bc2aad-3d9a-4ac5-b379-8cda8b18fe7d · outbound

This paper cites A model for spectra-based software diagnosis.ACM Transactions on software engineering and methodology (TOSEM), 20(3):1–32, 2011.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization A model for spectra-based software diagnosis.ACM Transactions on software engineering and methodology (TOSEM), 20(3):1–32, 2011

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:52.605503Z

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Observation bfc1ad1b-db0e-48d0-aa82-cc67303236cd · outbound

This paper cites Fluccs: Using code and change metrics to improve fault localization.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Fluccs: Using code and change metrics to improve fault localization

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:52.419647Z

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Observation b25da677-611d-479c-a48f-1fa39a26ddfe · outbound

This paper cites Historical spectrum based fault localization.IEEE Transactions on Software Engineering, 47(11):2348–2368, 2019.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Historical spectrum based fault localization.IEEE Transactions on Software Engineering, 47(11):2348–2368, 2019

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:52.240032Z

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Observation d6bf33d3-897f-4ae3-a2d1-0b634332a211 · outbound

This paper cites Software fault localization using dstar (d*).

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Software fault localization using dstar (d*)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:41:42.017691Z

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Observation 12d27702-a008-49d5-b2c2-aa2fecbd7b5f · outbound

This paper cites Cnn-fl: An effective approach for localizing faults using convolutional neural networks.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Cnn-fl: An effective approach for localizing faults using convolutional neural networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:52.092820Z

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Observation f5f056a4-0f68-42b7-a88c-327f63ffcd3e · outbound

This paper cites Mitigating the effect of class imbalance in fault localization using context-aware generative adversarial network.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Mitigating the effect of class imbalance in fault localization using context-aware generative adversarial network

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:51.912256Z

Source-reported events for the cited work

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Observation e92b4183-54c7-4c93-91b0-67aa0757f5ae · outbound

This paper cites A deep semantics-aware data augmentation method for fault localization.Information and Software Technology, 168:107409, 2024.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization A deep semantics-aware data augmentation method for fault localization.Information and Software Technology, 168:107409, 2024

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:51.749264Z

Source-reported events for the cited work

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Observation 5dceffb9-000e-44f6-96bb-df700946548c · outbound

This paper cites A light-weight data augmentation method for fault localization.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization A light-weight data augmentation method for fault localization

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:51.586340Z

Source-reported events for the cited work

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Observation 3b9dd361-3374-4502-8b1d-a6250e9dbcda · outbound

This paper cites A universal data augmentation approach for fault localization.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization A universal data augmentation approach for fault localization

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:51.401213Z

Source-reported events for the cited work

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Observation e587213c-7607-4786-90b8-e69521746dea · outbound

This paper cites On the accuracy of spectrum-based fault localization.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization On the accuracy of spectrum-based fault localization

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:51.213996Z

Source-reported events for the cited work

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Observation ec652454-b84f-40f5-89c0-6b8667afa4c0 · outbound

This paper cites A study of effectiveness of deep learning in locating real faults.Information and Software Technology, 131:106486, 2021.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization A study of effectiveness of deep learning in locating real faults.Information and Software Technology, 131:106486, 2021

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:51.079882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6873f492-1499-4ce8-b61f-d7483b34cc67 · outbound

This paper cites Fault localization analysis based on deep neural network.Mathematical Problems in Engineering, 2016(1):1820454, 2016.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Fault localization analysis based on deep neural network.Mathematical Problems in Engineering, 2016(1):1820454, 2016

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:50.908459Z

Source-reported events for the cited work

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Observation 4fc67257-564b-43e0-a606-a2d444fb982f · outbound

This paper cites Practitioners’ expectations on automated fault localization.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Practitioners’ expectations on automated fault localization

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:50.692963Z

Source-reported events for the cited work

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Observation d8d2f3cc-e5d2-4f31-9c72-c99ab4911bbb · outbound

This paper cites Codeflaws: a programming competition benchmark for evaluating automated program repair tools.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Codeflaws: a programming competition benchmark for evaluating automated program repair tools

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:50.513622Z

Source-reported events for the cited work

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Observation 2cbad59e-b22f-4391-aace-4017e3c2e739 · outbound

This paper cites Classification of imbalanced data: A review.Interna- tional journal of pattern recognition and artificial intelligence, 23(04):687–719, 2009.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Classification of imbalanced data: A review.Interna- tional journal of pattern recognition and artificial intelligence, 23(04):687–719, 2009

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:50.320652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6054e4a5-a946-4b48-87ab-653ec20cd316 · outbound

This paper cites Learning from imbalanced data.IEEE Transactions on knowledge and data engineering, 21(9):1263–1284, 2009.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Learning from imbalanced data.IEEE Transactions on knowledge and data engineering, 21(9):1263–1284, 2009

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:50.152582Z

Source-reported events for the cited work

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Observation 281479d4-a68c-4fe3-9b70-bacf66e00708 · outbound

This paper cites Effects of class imbalance in test suites: an empirical study of spectrum-based fault localization.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Effects of class imbalance in test suites: an empirical study of spectrum-based fault localization

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:49.940188Z

Source-reported events for the cited work

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Observation 55ff41e2-648d-4123-9d1e-4d3c5f9445ed · outbound

This paper cites Program slicing.IEEE Transactions on software engineering, (4):352–357, 2009.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Program slicing.IEEE Transactions on software engineering, (4):352–357, 2009

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:49.787271Z

Source-reported events for the cited work

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Observation c13e0220-8ea0-48c5-bb2b-7d6c1429cdd6 · outbound

This paper cites Linear discriminant analysis.Robust data mining, pages 27–33, 2013.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Linear discriminant analysis.Robust data mining, pages 27–33, 2013

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:49.599870Z

Source-reported events for the cited work

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Observation 5c1ca300-1058-4e6c-bb10-8a3888f18083 · outbound

This paper cites Principal component analysis.Wiley interdisciplinary reviews: computational statistics, 2(4):433–459, 2010.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Principal component analysis.Wiley interdisciplinary reviews: computational statistics, 2(4):433–459, 2010

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T12:41:43.668702Z

Source-reported events for the cited work

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Observation 68018337-4aa4-45cd-8c84-b3833f5c1733 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization mixup: Beyond Empirical Risk Minimization

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T12:41:43.754876Z

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Observation c2f3abff-9100-4c5f-8939-f46a8d51fdff · outbound

This paper cites Generative adversarial networks.Communications of the ACM, 63(11):139–144, 2020.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Generative adversarial networks.Communications of the ACM, 63(11):139–144, 2020

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T12:41:43.863389Z

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Observation f439be09-3d71-4944-a263-eb9c82ef9f11 · outbound

This paper cites Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:49.432397Z

Source-reported events for the cited work

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Observation bad88d04-e476-44f9-b8dc-255dd75b70f8 · outbound

This paper cites Generative adversarial networks (gans) challenges, solutions, and future directions.ACM Computing Surveys (CSUR), 54(3):1–42, 2021.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Generative adversarial networks (gans) challenges, solutions, and future directions.ACM Computing Surveys (CSUR), 54(3):1–42, 2021

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:49.257520Z

Source-reported events for the cited work

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Observation 28b8669b-03e8-4fcc-9781-8d93561c46f1 · outbound

This paper cites Dynamic program slicing.ACM SIGPlan Notices, 25(6):246–256, 1990.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Dynamic program slicing.ACM SIGPlan Notices, 25(6):246–256, 1990

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:49.086210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8b377b3b-f06e-4f73-9bdb-704a62862a3b · outbound

This paper cites Feature selection using principal component analysis.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Feature selection using principal component analysis

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:48.887487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e7dadbea-cca0-4baa-b8c3-b73ded6a4f00 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Classifier-Free Diffusion Guidance

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T12:41:44.553741Z

Source-reported events for the cited work

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Observation f30c339e-0472-495a-9b69-5966ff1534f0 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T12:41:44.659720Z

Source-reported events for the cited work

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Observation 18c5cffe-25f9-437e-9402-9ac25d0b91a5 · outbound

This paper cites Auto-encoding variational bayes, 2013.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Auto-encoding variational bayes, 2013

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T12:41:44.816198Z

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Observation a80727f2-62d9-44bf-8ecd-3623e9ea91df · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization U-net: Convolutional networks for biomedical image segmentation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T12:41:44.921858Z

Source-reported events for the cited work

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Observation ca83e642-eaa2-4352-8f86-9943292c0d46 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T12:41:45.040160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e5c4b08-0c99-4e4c-bb9f-ee12f677dba0 · outbound

This paper cites Effective statistical fault localization using program slices.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Effective statistical fault localization using program slices

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:48.637280Z

Source-reported events for the cited work

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Observation 228b1f97-211b-4033-943c-c8cc9818f980 · outbound

This paper cites A brief survey of program slicing.ACM SIGSOFT Software Engineering Notes, 30(2):1–36, 2005.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization A brief survey of program slicing.ACM SIGSOFT Software Engineering Notes, 30(2):1–36, 2005

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:48.456773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0ba0a7cc-ccb1-4fa7-9c00-e057a6465f52 · outbound

This paper cites Diffusion models beat gans on image synthesis.Advances in neural information processing systems, 34:8780–8794, 2021.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Diffusion models beat gans on image synthesis.Advances in neural information processing systems, 34:8780–8794, 2021

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T12:41:45.427346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5f0df9c-735c-4a97-8f9e-c3bd6af0343f · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.Advances in Neural Information Processing Systems, 35:5775–5787, 2022.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.Advances in Neural Information Processing Systems, 35:5775–5787, 2022

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T12:41:45.557659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 975062b3-ce31-4ddf-b3d4-258bf0b6fb1a · outbound

This paper cites A theoretical analysis of the risk evaluation formulas for spectrum-based fault localization.ACM Transactions on software engineering and methodology (TOSEM), 22(4):1–40, 2013.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization A theoretical analysis of the risk evaluation formulas for spectrum-based fault localization.ACM Transactions on software engineering and methodology (TOSEM), 22(4):1–40, 2013

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:48.321925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c169bf7a-b9e1-43b1-acfc-f9c082bb2956 · outbound

This paper cites Defects4j: A database of existing faults to enable controlled testing studies for java programs.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Defects4j: A database of existing faults to enable controlled testing studies for java programs

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T12:41:45.825090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16428a92-04e9-44d2-a0fd-8ca392b3893d · outbound

This paper cites Evaluating & improving fault localization techniques.University of Washington Department of Computer Science and Engineering, Seattle, WA, USA, Tech.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Evaluating & improving fault localization techniques.University of Washington Department of Computer Science and Engineering, Seattle, WA, USA, Tech

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:48.138941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 17147611-b333-4f86-837b-d96445a30ce6 · outbound

This paper cites An evaluation of similarity coefficients for software fault localization.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization An evaluation of similarity coefficients for software fault localization

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:47.961769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eef194d1-7046-43ad-bc69-40f47a64e0c8 · outbound

This paper cites Spectrum-based multiple fault localization.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Spectrum-based multiple fault localization

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:47.728051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 515c014d-13ff-49e6-895c-f55f8f231f44 · outbound

This paper cites Ietcr: An information entropy based test case reduction strategy for mutation-based fault localization.IEEE Access, 8:124297–124310, 2020.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Ietcr: An information entropy based test case reduction strategy for mutation-based fault localization.IEEE Access, 8:124297–124310, 2020

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:47.541919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5a87031a-d755-44e0-8d5c-0d9d1e0771bd · outbound

This paper cites A theoretical study: The impact of cloning failed test cases on the effectiveness of fault localization.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization A theoretical study: The impact of cloning failed test cases on the effectiveness of fault localization

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:47.362890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 38bcc632-6e3f-4a4a-89c8-8394fbe6375f · outbound

This paper cites A theoretical analysis on cloning the failed test cases to improve spectrum-based fault localization.Journal of Systems and Software, 129:35–57, 2017.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization A theoretical analysis on cloning the failed test cases to improve spectrum-based fault localization.Journal of Systems and Software, 129:35–57, 2017

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:47.185470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7a61563b-bfa1-4419-8810-47f0cb31f55d · outbound

This paper cites Improving deep-learning-based fault localization with resampling.Journal of Software: Evolution and Process, 33(3):e2312, 2021.

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization Improving deep-learning-based fault localization with resampling.Journal of Software: Evolution and Process, 33(3):e2312, 2021

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:47.009392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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