Predicting Human Visual Attention on Words in Source Code | Paper Citation Record

Observation b60555c3-2d59-4451-ac45-3f53955c5552 · outbound

This paper cites Visual attention: The past 25 years,.

Predicting Human Visual Attention on Words in Source Code Visual attention: The past 25 years,

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Observation 0b229a59-cb60-463a-bc85-b512a6d1b243 · outbound

This paper cites Eye movements in code reading: Relaxing the linear order,.

Predicting Human Visual Attention on Words in Source Code Eye movements in code reading: Relaxing the linear order,

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Observation d5000974-5946-4804-836c-7cf893ef310d · outbound

This paper cites Programmer visual attention during context-aware code summarization,.

Predicting Human Visual Attention on Words in Source Code Programmer visual attention during context-aware code summarization,

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Observation 4f8e0a9c-5e63-492d-a15e-538eb1b80e26 · outbound

This paper cites Developers’ visuo-spatial mental model and program comprehension,.

Predicting Human Visual Attention on Words in Source Code Developers’ visuo-spatial mental model and program comprehension,

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This paper cites Cognitive processes in program comprehension,.

Predicting Human Visual Attention on Words in Source Code Cognitive processes in program comprehension,

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Observation 91aba1e1-3b9e-43c9-89cd-0246232dacf4 · outbound

This paper cites Mental models and software maintenance,.

Predicting Human Visual Attention on Words in Source Code Mental models and software maintenance,

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This paper cites Program comprehension during software maintenance and evolution,.

Predicting Human Visual Attention on Words in Source Code Program comprehension during software maintenance and evolution,

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Observation bafb5fc1-9d72-4f24-8002-1053c3eee1ef · outbound

This paper cites Finding causes of program output with the java whyline,.

Predicting Human Visual Attention on Words in Source Code Finding causes of program output with the java whyline,

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Observation 5d014b7e-dce8-4709-bd97-7d5e7c4b9e44 · outbound

This paper cites Automated recording and semantics-aware replaying of high-speed eye tracking and interaction data to support cognitive studies of software engineering tasks,.

Predicting Human Visual Attention on Words in Source Code Automated recording and semantics-aware replaying of high-speed eye tracking and interaction data to support cognitive studies of software engineering tasks,

Reference 9

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Observation 911ab9ed-01bc-43a4-9827-7dca8b3c37a3 · outbound

This paper cites Eye-tracking based adaptive user interface: implicit human-computer interaction for preference indication,.

Predicting Human Visual Attention on Words in Source Code Eye-tracking based adaptive user interface: implicit human-computer interaction for preference indication,

Reference 10

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Observation af1d2497-4630-4f53-bc88-89ac608895a7 · outbound

This paper cites Modeling programmer attention as scanpath prediction,.

Predicting Human Visual Attention on Words in Source Code Modeling programmer attention as scanpath prediction,

Reference 11

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Observation 9e9d77ed-4bf3-4a3b-9653-e89464f5645b · outbound

This paper cites Eyetrans: Merging human and machine attention for neural code summarization,.

Predicting Human Visual Attention on Words in Source Code Eyetrans: Merging human and machine attention for neural code summarization,

Reference 12

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Observation 5c1123b3-d2f1-4bc0-a35b-0b6855050084 · outbound

This paper cites Using developer eye movements to externalize the mental model used in code summarization tasks,.

Predicting Human Visual Attention on Words in Source Code Using developer eye movements to externalize the mental model used in code summarization tasks,

Reference 13

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Observation be1fb3e6-415f-4e7e-9101-9523d39154e9 · outbound

This paper cites Expertise-dependent visual attention strategies develop over time during debugging with multiple code representations,.

Predicting Human Visual Attention on Words in Source Code Expertise-dependent visual attention strategies develop over time during debugging with multiple code representations,

Reference 14

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Observation 7af05584-4d3e-443e-9d66-45723db27673 · outbound

This paper cites A tale of two comprehensions? analyzing student programmer attention during code summarization,.

Predicting Human Visual Attention on Words in Source Code A tale of two comprehensions? analyzing student programmer attention during code summarization,

Reference 15

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Observation 7a14e36f-5537-440a-a2b3-fe933d26a2c1 · outbound

This paper cites A systematic literature review on the usage of eye-tracking in software engineering,.

Predicting Human Visual Attention on Words in Source Code A systematic literature review on the usage of eye-tracking in software engineering,

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Observation 1f480481-352a-4d2a-af8e-9a9e100e1951 · outbound

This paper cites Dgaze: Cnn-based gaze prediction in dynamic scenes,.

Predicting Human Visual Attention on Words in Source Code Dgaze: Cnn-based gaze prediction in dynamic scenes,

Reference 17

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Observation d9059986-1886-4e44-be02-9741e1c009e7 · outbound

This paper cites Deep learning based eye gaze estimation and prediction,.

Predicting Human Visual Attention on Words in Source Code Deep learning based eye gaze estimation and prediction,

Reference 18

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Observation 6f591b56-9f9a-4a61-b811-9120a2364bce · outbound

This paper cites Gaze prediction for recommender systems,.

Predicting Human Visual Attention on Words in Source Code Gaze prediction for recommender systems,

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Observation 9f0bf2cf-e9d4-4bab-9a7c-71a3120b680f · outbound

This paper cites Critical review of the models of reading comprehension with a focus on situation models,.

Predicting Human Visual Attention on Words in Source Code Critical review of the models of reading comprehension with a focus on situation models,

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Observation cf149ef8-3ea8-48b5-b407-cd6bbfeb0095 · outbound

This paper cites Models of the reading process,.

Predicting Human Visual Attention on Words in Source Code Models of the reading process,

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Observation 80a864f3-73d6-48dc-9d0f-57e7dbefca8d · outbound

This paper cites Do transformer models show similar attention patterns to task-specific human gaze?.

Predicting Human Visual Attention on Words in Source Code Do transformer models show similar attention patterns to task-specific human gaze?

Reference 22

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Observation 6c10a6c4-361a-44bd-ac5c-ad779200e168 · outbound

This paper cites Towards modeling human attention from eye movements for neural source code summarization,.

Predicting Human Visual Attention on Words in Source Code Towards modeling human attention from eye movements for neural source code summarization,

Reference 23

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Observation b3663406-3fc9-44fd-b524-0548b0b06e4c · outbound

This paper cites Improving automated source code summarization via an eye-tracking study of programmers,.

Predicting Human Visual Attention on Words in Source Code Improving automated source code summarization via an eye-tracking study of programmers,

Reference 24

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Observation b2029c5d-634d-4b4b-b8c2-a29277366a42 · outbound

This paper cites Distilled gpt for source code summariza- tion,.

Predicting Human Visual Attention on Words in Source Code Distilled gpt for source code summariza- tion,

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Observation b2cb035b-f0aa-4de9-abee-e983ba6f362a · outbound

This paper cites Human Attention During Localization of Memory Bugs in C Programs.

Predicting Human Visual Attention on Words in Source Code Human Attention During Localization of Memory Bugs in C Programs

Reference 26

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Observation dc4c8f16-ad93-4495-841b-935c51eed496 · outbound

This paper cites Toward semantic gaze target detection,.

Predicting Human Visual Attention on Words in Source Code Toward semantic gaze target detection,

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Observation 8f8d1826-734d-44ff-b00d-5cd9344b2dfb · outbound

This paper cites Combining eye tracking with navigation paths for iden- tification of cross-language code dependencies,.

Predicting Human Visual Attention on Words in Source Code Combining eye tracking with navigation paths for iden- tification of cross-language code dependencies,

Reference 28

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Observation b1b1e472-e760-41fe-a819-5a15974d0fed · outbound

This paper cites Leveraging biometric data to boost software developer productivity,.

Predicting Human Visual Attention on Words in Source Code Leveraging biometric data to boost software developer productivity,

Reference 29

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Observation d2221553-7614-43b4-80eb-1e675fc9709b · outbound

This paper cites Using (bio)metrics to predict code quality online,.

Predicting Human Visual Attention on Words in Source Code Using (bio)metrics to predict code quality online,

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Observation 93c5cee4-fc15-48f6-994c-192819b7e122 · outbound

This paper cites Eye gaze and interaction contexts for change tasks– observations and potential,.

Predicting Human Visual Attention on Words in Source Code Eye gaze and interaction contexts for change tasks– observations and potential,

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Observation c3a1b15d-71b5-4790-b114-4a00e24d10e3 · outbound

This paper cites Eye movements in software traceability link recovery,.

Predicting Human Visual Attention on Words in Source Code Eye movements in software traceability link recovery,

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Observation 7c2d3be8-19a0-4195-a97b-afd84c21c36c · outbound

This paper cites Toward a definition of cognitive-driven development,.

Predicting Human Visual Attention on Words in Source Code Toward a definition of cognitive-driven development,

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Observation 18203b06-6ce5-4228-97d4-e0f05d140a92 · outbound

This paper cites Program comprehension and code complexity metrics: An fmri study,.

Predicting Human Visual Attention on Words in Source Code Program comprehension and code complexity metrics: An fmri study,

Reference 34

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Observation 1ea1026a-c0cc-4e3f-8c54-5818df71decb · outbound

This paper cites Eyes on code: A study on developers’ code navigation strategies,.

Predicting Human Visual Attention on Words in Source Code Eyes on code: A study on developers’ code navigation strategies,

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This paper cites Estimating developers’ cognitive load at a fine-grained level using eye-tracking measures,.

Predicting Human Visual Attention on Words in Source Code Estimating developers’ cognitive load at a fine-grained level using eye-tracking measures,

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This paper cites Applying machine learning to gaze data in software development: a mapping study,.

Predicting Human Visual Attention on Words in Source Code Applying machine learning to gaze data in software development: a mapping study,

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This paper cites Program code navigation model for individuals based on lstm with co-clustering,.

Predicting Human Visual Attention on Words in Source Code Program code navigation model for individuals based on lstm with co-clustering,

Reference 38

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This paper cites eye2vec: Learning distributed representations of eye movement for program comprehension analysis,.

Predicting Human Visual Attention on Words in Source Code eye2vec: Learning distributed representations of eye movement for program comprehension analysis,

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This paper cites Modeling programmer attention as scanpath prediction,.

Predicting Human Visual Attention on Words in Source Code Modeling programmer attention as scanpath prediction,

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This paper cites Follow-up attention: An empirical study of developer and neural model code exploration,.

Predicting Human Visual Attention on Words in Source Code Follow-up attention: An empirical study of developer and neural model code exploration,

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This paper cites Comcat: Expertise-guided context generation to enhance code comprehension,.

Predicting Human Visual Attention on Words in Source Code Comcat: Expertise-guided context generation to enhance code comprehension,

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This paper cites EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention.

Predicting Human Visual Attention on Words in Source Code EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention

Reference 43

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This paper cites Affect detection: An interdisciplinary review of models, methods, and their applications,.

Predicting Human Visual Attention on Words in Source Code Affect detection: An interdisciplinary review of models, methods, and their applications,

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This paper cites Automated detection of engagement using video-based estimation of facial expres- sions and heart rate,.

Predicting Human Visual Attention on Words in Source Code Automated detection of engagement using video-based estimation of facial expres- sions and heart rate,

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Predicting Human Visual Attention on Words in Source Code Best practices in eye tracking research,

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This paper cites Eye tracking studies in visualization: Phases, guidelines, and checklist,.

Predicting Human Visual Attention on Words in Source Code Eye tracking studies in visualization: Phases, guidelines, and checklist,

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Predicting Human Visual Attention on Words in Source Code A practical guide on conducting eye tracking studies in software engineering,

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Predicting Human Visual Attention on Words in Source Code On eye tracking in software engineering,

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This paper cites A survey on the usage of eye-tracking in computer programming,.

Predicting Human Visual Attention on Words in Source Code A survey on the usage of eye-tracking in computer programming,

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This paper cites Cognitive insights into document comprehension: The role of reading order and visual attention in human and large language models,.

Predicting Human Visual Attention on Words in Source Code Cognitive insights into document comprehension: The role of reading order and visual attention in human and large language models,

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This paper cites Modeling the human visual sys- tem: Comparative insights from response-optimized and task-optimized vision models, language models, and different readout mechanisms,.

Predicting Human Visual Attention on Words in Source Code Modeling the human visual sys- tem: Comparative insights from response-optimized and task-optimized vision models, language models, and different readout mechanisms,

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Predicting Human Visual Attention on Words in Source Code Predicting human gaze beyond pixels,

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This paper cites Programmers’ visual attention on function call graphs during code summarization,.

Predicting Human Visual Attention on Words in Source Code Programmers’ visual attention on function call graphs during code summarization,

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This paper cites Do machines and humans focus on similar code? exploring explainability of large language models in code summarization,.

Predicting Human Visual Attention on Words in Source Code Do machines and humans focus on similar code? exploring explainability of large language models in code summarization,

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This paper cites Eyettention: An attention-based dual-sequence model for predicting human scanpaths during reading,.

Predicting Human Visual Attention on Words in Source Code Eyettention: An attention-based dual-sequence model for predicting human scanpaths during reading,

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This paper cites Toward a model of eye movement control in reading.

Predicting Human Visual Attention on Words in Source Code Toward a model of eye movement control in reading

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Observation a5e87d0e-2ef2-4a9d-a8a1-39bacb8c1b03 · outbound

This paper cites Swift: a dynamical model of saccade generation during reading.

Predicting Human Visual Attention on Words in Source Code Swift: a dynamical model of saccade generation during reading

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This paper cites Learning where to look: Modeling eye movements in reading,.

Predicting Human Visual Attention on Words in Source Code Learning where to look: Modeling eye movements in reading,

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Observation 8956d7b8-f18b-4c9f-a0cb-6f8ec238503c · outbound

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Predicting Human Visual Attention on Words in Source Code Entropy-driven evaluation of models of eye movement control in reading,

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This paper cites Probing large language models from a human behavioral perspective,.

Predicting Human Visual Attention on Words in Source Code Probing large language models from a human behavioral perspective,

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This paper cites A comprehensive overview of large language models,.

Predicting Human Visual Attention on Words in Source Code A comprehensive overview of large language models,

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Predicting Human Visual Attention on Words in Source Code A language model of java methods with train/test deduplication,

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Predicting Human Visual Attention on Words in Source Code A systematic evaluation of large language models of code,

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Predicting Human Visual Attention on Words in Source Code 3d segmentation with fully trainable gabor kernels and pearson’s correlation coefficient,

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Predicting Human Visual Attention on Words in Source Code Modeling the human visual system: Comparative insights from response-optimized and task-optimized vision models, language models, and different readout mechanisms,

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Predicting Human Visual Attention on Words in Source Code Intersubject synchronization of cortical activity during natural vision,

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Predicting Human Visual Attention on Words in Source Code Reliability of cortical activity during natural stimulation,

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Predicting Human Visual Attention on Words in Source Code Measuring shared responses across subjects using intersubject correlation,

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Predicting Human Visual Attention on Words in Source Code Identifier names in computer programs: Literature review

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Predicting Human Visual Attention on Words in Source Code Fixing faults in c and java source code: Abbreviated vs. full-word identifier names,

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Predicting Human Visual Attention on Words in Source Code Assessing the effect of programming language and task type on eye movements of computer science students,

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Predicting Human Visual Attention on Words in Source Code Searching and skimming: An ex- ploratory study,

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Predicting Human Visual Attention on Words in Source Code A comparison of program comprehension strategies by blind and sighted programmers,

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Predicting Human Visual Attention on Words in Source Code Thinking like a developer? comparing the attention of humans with neural models of code,

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Predicting Human Visual Attention on Words in Source Code Do code llms do static analysis?

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Predicting Human Visual Attention on Words in Source Code Do code summarization models process too much information? function signature may be all that is needed,

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Predicting Human Visual Attention on Words in Source Code Wohlin, P

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Predicting Human Visual Attention on Words in Source Code Is attention explanation? an introduction to the debate,

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Predicting Human Visual Attention on Words in Source Code Attention is not explanation,

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Predicting Human Visual Attention on Words in Source Code Attention is not not explanation,

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Predicting Human Visual Attention on Words in Source Code Why attention is not explanation: Surgical intervention and causal reasoning about neural JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2021 13 models,

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Predicting Human Visual Attention on Words in Source Code Empirical study of transformers for source code,

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Predicting Human Visual Attention on Words in Source Code Code structure–guided transformer for source code summarization,

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Predicting Human Visual Attention on Words in Source Code Ex- plaining transformer-based code models: What do they learn? when they do not work?

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Predicting Human Visual Attention on Words in Source Code An exploratory study on code attention in bert,

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Predicting Human Visual Attention on Words in Source Code Developer reading behavior while summarizing java methods: Size and context matters,

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