Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information | Paper Citation Record

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This paper cites Github copilot https://copilot.github.com.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Github copilot https://copilot.github.com

Reference 1

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This paper cites an unresolved cited work.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Unresolved cited work

Reference 2

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This paper cites an unresolved cited work.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Unresolved cited work

Reference 3

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Observation fdbb0788-e925-4b01-8ef0-1bb86c1bb7b6 · outbound

This paper cites Context-aware code recommen- dation in intellij IDEA,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Context-aware code recommen- dation in intellij IDEA,

Reference 4

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This paper cites code2seq: Generating sequences from structured representations of code,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information code2seq: Generating sequences from structured representations of code,

Reference 5

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This paper cites Structural language models of code,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Structural language models of code,

Reference 6

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Observation 63a3ed45-b0a7-4027-956b-b80d7706046c · outbound

This paper cites Context- sensitive code completion tool for better API usability,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Context- sensitive code completion tool for better API usability,

Reference 7

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This paper cites A simple, efficient, context-sensitive approach for code comple- tion,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information A simple, efficient, context-sensitive approach for code comple- tion,

Reference 8

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Observation 96c2e0b1-ddee-436c-bb4b-1f732564a22d · outbound

This paper cites Replication package https://github.com/completion-context/ completion-context-replication.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Replication package https://github.com/completion-context/ completion-context-replication

Reference 9

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This paper cites Learning autocompletion from real-world datasets,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Learning autocompletion from real-world datasets,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:24:19.615153Z

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This paper cites Learning from examples to improve code completion systems,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Learning from examples to improve code completion systems,

Reference 11

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Observation 0fc0e41d-c123-4558-a0dd-6d8c882f4e96 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Evaluating Large Language Models Trained on Code

Reference 12

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Observation 73ef5ed8-4c7d-4ad0-83c2-b17035835e93 · outbound

This paper cites An Empirical Study on the Usage of Transformer Models for Code Completion.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information An Empirical Study on the Usage of Transformer Models for Code Completion

Reference 13

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This paper cites An empirical study on the usage of BERT models for code completion,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information An empirical study on the usage of BERT models for code completion,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:24:19.576610Z

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This paper cites Smart formatter: Learning coding style from existing source code,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Smart formatter: Learning coding style from existing source code,

Reference 15

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Observation 5574e3b1-ef84-4d21-a4d5-64e4db923a2a · outbound

This paper cites Sampling Projects in GitHub for MSR Studies.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Sampling Projects in GitHub for MSR Studies

Reference 16

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Observation 31db0b92-6237-43bf-96d5-9058d909e3f5 · outbound

This paper cites Collective intelligence for smarter API recommendations in python,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Collective intelligence for smarter API recommendations in python,

Reference 17

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Observation bc84dab8-f1df-4c7d-931a-3a82e0e12bac · outbound

This paper cites Crystalbleu: precisely and efficiently measuring the similarity of code,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Crystalbleu: precisely and efficiently measuring the similarity of code,

Reference 18

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This paper cites Codebert: A pre-trained model for programming and natural languages,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Codebert: A pre-trained model for programming and natural languages,

Reference 19

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This paper cites A new algorithm for data compression,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information A new algorithm for data compression,

Reference 20

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This paper cites Google colab https://colab.research.google.com/.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Google colab https://colab.research.google.com/

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:24:19.454065Z

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This paper cites java-callgraph https://github. com/gousiosg/java-callgraph.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information java-callgraph https://github. com/gousiosg/java-callgraph

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:24:19.433529Z

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Observation fd3f52ed-d768-44b4-9266-0386d14daba0 · outbound

This paper cites Graphcodebert: Pre-training code representations with data flow,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Graphcodebert: Pre-training code representations with data flow,

Reference 23

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This paper cites Complete completion us- ing types and weights,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Complete completion us- ing types and weights,

Reference 24

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This paper cites Jaccard distance (jaccard index, jaccard similarity coefficient),.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Jaccard distance (jaccard index, jaccard similarity coefficient),

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:24:19.353402Z

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This paper cites Identifier-based context-dependent API method recommendation,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Identifier-based context-dependent API method recommendation,

Reference 26

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Observation e9eeabdd-49bc-4818-a226-fb23f5edb021 · outbound

This paper cites Are deep neural networks the best choice for modeling source code?.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Are deep neural networks the best choice for modeling source code?

Reference 27

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Observation 57e1cc97-7ad3-4ecd-af55-c69c099a53a0 · outbound

This paper cites On the naturalness of software,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information On the naturalness of software,

Reference 28

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Observation af575ffe-1e75-41f5-9c48-849c31788bc1 · outbound

This paper cites Linking developer experience to coding style in open-source repositories,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Linking developer experience to coding style in open-source repositories,

Reference 29

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This paper cites A simple sequentially rejective multiple test procedure,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information A simple sequentially rejective multiple test procedure,

Reference 30

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This paper cites Codefill: Multi-token code completion by jointly learning from structure and naming sequences,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Codefill: Multi-token code completion by jointly learning from structure and naming sequences,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:24:19.239647Z

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Observation ed946c4f-3ce6-458d-9954-f49188c0d15e · outbound

This paper cites Maybe Deep Neural Networks are the Best Choice for Modeling Source Code.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Maybe Deep Neural Networks are the Best Choice for Modeling Source Code

Reference 32

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This paper cites SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing

Reference 33

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This paper cites A proposal of code completion problem for java programming learning assistant system,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information A proposal of code completion problem for java programming learning assistant system,

Reference 34

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Observation 0a30f099-06cc-4fda-85fb-3b5e445bee3d · outbound

This paper cites Note on the sampling error of the difference between correlated proportions or percentages,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Note on the sampling error of the difference between correlated proportions or percentages,

Reference 35

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This paper cites Beyond integrated development environments: adding context to software development,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Beyond integrated development environments: adding context to software development,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:24:19.187937Z

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Observation af53a82a-73d6-4605-a018-6068fedcc15c · outbound

This paper cites Graph-based pattern-oriented, context-sensitive source code completion,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Graph-based pattern-oriented, context-sensitive source code completion,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:24:19.168386Z

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Observation 5d9fca50-744e-4c5d-b85f-ab8aa9031780 · outbound

This paper cites Type-directed completion of partial expressions,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Type-directed completion of partial expressions,

Reference 38

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This paper cites Intelligent code completion with bayesian networks,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Intelligent code completion with bayesian networks,

Reference 39

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This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:24:19.105323Z

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Observation d3b6282d-be4e-446d-b3c6-ce8df38dc1d9 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:24:19.081661Z

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Observation c5a80217-b1ae-426d-aaa4-8ff3fdfef3cc · outbound

This paper cites Improving code completion with program history,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Improving code completion with program history,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:24:19.058123Z

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Observation f77c348d-b975-41d1-8124-4b1a391332cd · outbound

This paper cites Structured design,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Structured design,

Reference 43

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Observation 12ce5e8e-f271-4147-866b-7ff3e319f6be · outbound

This paper cites Intellicode compose: code generation using transformer,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Intellicode compose: code generation using transformer,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:24:19.023592Z

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Observation c831ce59-044c-476a-aca3-7391219b39c9 · outbound

This paper cites Adding context to source code representations for deep learning,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Adding context to source code representations for deep learning,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:24:18.997530Z

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Observation cac1ed06-01d3-468a-91d0-45675bb9a731 · outbound

This paper cites On the localness of software,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information On the localness of software,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:24:18.965598Z

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Observation 56cf54df-89e5-42dd-a4ea-60212e12de2e · outbound

This paper cites Unit Test Case Generation with Transformers and Focal Context.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Unit Test Case Generation with Transformers and Focal Context

Reference 47

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Observation f8779f05-9adf-4b23-a278-87ea05fd9fb0 · outbound

This paper cites TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning

Reference 48

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This paper cites Towards Full-line Code Completion with Neural Language Models.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Towards Full-line Code Completion with Neural Language Models

Reference 49

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Observation da65cee4-fb24-42f8-a7ed-135c883a86f3 · outbound

This paper cites CodeT5: Identifier-aware unified pre-trained encoder-decoder models for code understanding and generation,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information CodeT5: Identifier-aware unified pre-trained encoder-decoder models for code understanding and generation,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:24:18.930523Z

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Observation e6002f91-12b6-4436-bb42-a41c58c5f701 · outbound

This paper cites Siri, write the next method,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Siri, write the next method,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:24:18.899606Z

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Observation 338d8ac4-f0f3-4bb4-8188-890272305b57 · outbound

This paper cites Improve language modelling for code comple- tion by tree language model with tree encoding of context (S),.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Improve language modelling for code comple- tion by tree language model with tree encoding of context (S),

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:24:18.874650Z

Source-reported events for the cited work

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Observation 05cd3591-c8d5-4545-849c-7c86f5857ae7 · outbound

This paper cites Improve language modelling for code completion through learn- ing general token repetition of source code,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Improve language modelling for code completion through learn- ing general token repetition of source code,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:24:18.829946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4a4d5fc1-e821-4778-a003-01f99c05e835 · outbound

This paper cites Apimatchmaker: Matching the right apis for supporting the development of android apps,.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Apimatchmaker: Matching the right apis for supporting the development of android apps,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:24:18.804220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Reference resolution

Outbound references

Pith citing papers