Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential | Paper Citation Record

Observation 50e62be9-8cec-4d99-8b85-e8d70ad80ea5 · outbound

This paper cites Bullington-McGuire, A.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Bullington-McGuire, A

Reference 1

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Observation 634fd832-3658-4dc4-82b7-81f2199558f3 · outbound

This paper cites Miell and A.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Miell and A

Reference 2

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Observation 1a76d234-59ba-4129-ad2a-b0a7e22c22c3 · outbound

This paper cites Empirical study of the docker smells impact on the image size,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Empirical study of the docker smells impact on the image size,

Reference 3

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This paper cites Character- izing the occurrence of dockerfile smells in open-source software: An empirical study,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Character- izing the occurrence of dockerfile smells in open-source software: An empirical study,

Reference 4

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Observation afc3c10c-1326-46f7-bd82-31bc6e3f5a7f · outbound

This paper cites Docker- cleaner: Automatic repair of security smells in docker- files,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Docker- cleaner: Automatic repair of security smells in docker- files,

Reference 5

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Observation 18cd7a20-0dc7-47e0-82a3-0b6b7af5969a · outbound

This paper cites Parfum: Detection and Automatic Repair of Dockerfile Smells.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Parfum: Detection and Automatic Repair of Dockerfile Smells

Reference 6

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This paper cites Not all dockerfile smells are the same: An empirical evaluation of hadolint writing practices by experts,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Not all dockerfile smells are the same: An empirical evaluation of hadolint writing practices by experts,

Reference 7

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Observation 68653a6f-e532-46fd-9071-ff788c77e6dc · outbound

This paper cites Refactorings and technical debt for docker projects,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Refactorings and technical debt for docker projects,

Reference 8

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Observation 37653b6b-c934-4476-ae83-f069914764cc · outbound

This paper cites An empirical study of container image configurations and their impact on start times,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential An empirical study of container image configurations and their impact on start times,

Reference 9

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Observation 1c9ac064-5ff6-4c95-84dc-83326a16b18a · outbound

This paper cites An empirical study on self-admitted technical debt in dockerfiles,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential An empirical study on self-admitted technical debt in dockerfiles,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:26:02.324353Z

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This paper cites Understanding and predicting docker build duration: An empirical study of containerized workflow of oss projects,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Understanding and predicting docker build duration: An empirical study of containerized workflow of oss projects,

Reference 11

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Observation bb38c8a1-14b6-48ef-80c4-4136b511fe1c · outbound

This paper cites Dockerfile changes in practice: A large-scale empirical study of 4,110 projects on github,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Dockerfile changes in practice: A large-scale empirical study of 4,110 projects on github,

Reference 12

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This paper cites One thousand and one stories: a large- scale survey of software refactoring,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential One thousand and one stories: a large- scale survey of software refactoring,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:26:02.273584Z

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This paper cites Automatically generating dockerfiles via deep learning: Challenges and promises,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Automatically generating dockerfiles via deep learning: Challenges and promises,

Reference 14

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This paper cites GPT-4 Technical Report.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential GPT-4 Technical Report

Reference 15

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This paper cites Large language models for software engineering: A systematic literature review,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Large language models for software engineering: A systematic literature review,

Reference 16

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This paper cites Retrieval-based prompt selection for code-related few-shot learning,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Retrieval-based prompt selection for code-related few-shot learning,

Reference 17

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This paper cites Learning To Retrieve Prompts for In-Context Learning.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Learning To Retrieve Prompts for In-Context Learning

Reference 18

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Observation 5849e547-1aac-4c72-84f1-52f611282b0a · outbound

This paper cites How to create dockerfiles with genai,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential How to create dockerfiles with genai,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:26:02.212186Z

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This paper cites Replication package msr 2025,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Replication package msr 2025,

Reference 20

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This paper cites (2024) Dockerfile best practices.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential (2024) Dockerfile best practices

Reference 21

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This paper cites Does your configuration code smell?.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Does your configuration code smell?

Reference 22

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This paper cites Learning from, understanding, and supporting devops artifacts for docker,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Learning from, understanding, and supporting devops artifacts for docker,

Reference 23

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This paper cites Dockerfile tf smell detection based on dynamic and static analysis methods,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Dockerfile tf smell detection based on dynamic and static analysis methods,

Reference 24

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This paper cites Exploring the relationship between dockerfile quality and project characteristics,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Exploring the relationship between dockerfile quality and project characteristics,

Reference 25

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This paper cites An empirical analysis of the docker container ecosystem on github,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential An empirical analysis of the docker container ecosystem on github,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:26:02.106032Z

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Observation 88f3d641-0859-41bb-b92b-2fab8e25a4b7 · outbound

This paper cites Shipwright: A human-in-the-loop system for dockerfile repair,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Shipwright: A human-in-the-loop system for dockerfile repair,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:26:02.090734Z

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This paper cites Dr- miner: A tool for identifying and analyzing refactorings in dockerfile,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Dr- miner: A tool for identifying and analyzing refactorings in dockerfile,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:26:02.075382Z

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This paper cites Assessing and improving the quality of docker artifacts,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Assessing and improving the quality of docker artifacts,

Reference 29

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This paper cites Refactoring operations grounded in manual code changes,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Refactoring operations grounded in manual code changes,

Reference 30

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Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Search- based software engineering: Trends, techniques and ap- plications,

Reference 31

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Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Search-based refactoring: Towards semantics preserva- tion,

Reference 32

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This paper cites An interactive and dynamic search-based approach to software refactoring recom- mendations,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential An interactive and dynamic search-based approach to software refactoring recom- mendations,

Reference 33

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This paper cites Automated recommendation of software refactorings based on feature requests,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Automated recommendation of software refactorings based on feature requests,

Reference 34

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This paper cites Comparing commit messages and source code metrics for the prediction refactoring activities,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Comparing commit messages and source code metrics for the prediction refactoring activities,

Reference 35

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This paper cites What makes good in-context demonstrations for code intelligence tasks with llms?.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential What makes good in-context demonstrations for code intelligence tasks with llms?

Reference 36

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This paper cites A Critical Review of Large Language Model on Software Engineering: An Example from ChatGPT and Automated Program Repair.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential A Critical Review of Large Language Model on Software Engineering: An Example from ChatGPT and Automated Program Repair

Reference 37

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This paper cites Self-refine: Iterative refinement with self- feedback,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Self-refine: Iterative refinement with self- feedback,

Reference 38

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This paper cites Refactoring programs using large lan- guage models with few-shot examples,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Refactoring programs using large lan- guage models with few-shot examples,

Reference 39

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This paper cites A Survey of using Large Language Models for Generating Infrastructure as Code.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential A Survey of using Large Language Models for Generating Infrastructure as Code

Reference 40

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This paper cites hadolint/hadolint: Dockerfile linter, validate inline bash, written in haskell,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential hadolint/hadolint: Dockerfile linter, validate inline bash, written in haskell,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:26:01.909726Z

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This paper cites Bigquery github database,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Bigquery github database,

Reference 42

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Source-reported events for the cited work

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Observation 124e8fd9-2eed-4394-9c36-299325ba299b · outbound

This paper cites Can refac- toring be self-affirmed? an exploratory study on how developers document their refactoring activities in com- mit messages,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Can refac- toring be self-affirmed? an exploratory study on how developers document their refactoring activities in com- mit messages,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:26:01.879647Z

Source-reported events for the cited work

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This paper cites Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

Reference 44

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This paper cites Okapi at trec-3,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Okapi at trec-3,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:26:01.864263Z

Source-reported events for the cited work

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Observation b1e312d3-0160-4dc8-b8c9-a7791605d336 · outbound

This paper cites Language models are few-shot learn- ers,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Language models are few-shot learn- ers,

Reference 46

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This paper cites AI-assisted coding: Experiments with GPT-4.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential AI-assisted coding: Experiments with GPT-4

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T15:26:01.583838Z

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Observation 66f059e2-5e3e-46a0-9c16-cd6f3f042986 · outbound

This paper cites Kubeplaybook: A repository of ansible playbooks for kubernetes auto-remediation with llms,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Kubeplaybook: A repository of ansible playbooks for kubernetes auto-remediation with llms,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:26:01.838869Z

Source-reported events for the cited work

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Observation a02f39a2-6f60-4e7f-b0c3-d6818183215c · outbound

This paper cites The proof and measurement of association between two things.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential The proof and measurement of association between two things

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T15:26:01.593668Z

Source-reported events for the cited work

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Observation 4ee354d0-e71f-4eac-b53a-4ecb5a50782f · outbound

This paper cites Build context error example, project: zhoumingithub/my-zipkin, commit:4e74b2, dockerfile: docker/dockerfile,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Build context error example, project: zhoumingithub/my-zipkin, commit:4e74b2, dockerfile: docker/dockerfile,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:26:01.814026Z

Source-reported events for the cited work

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Observation aff39905-baa4-4e8d-97b9-0ffb729d6f76 · outbound

This paper cites Dependency errors example, project: mattolson/docker- base, commit:ee4d42, dockerfile: Dockerfile,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Dependency errors example, project: mattolson/docker- base, commit:ee4d42, dockerfile: Dockerfile,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:26:01.798353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 86846de8-daf1-4ed4-9e3c-dffff58f6bc6 · outbound

This paper cites Syntax errors example, project: ipcjk/ixgen, com- mit:9e1f90, dockerfile: docker/dockerfile,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Syntax errors example, project: ipcjk/ixgen, com- mit:9e1f90, dockerfile: docker/dockerfile,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:26:01.782304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 798a0634-7ace-439b-9466-b52583596595 · outbound

This paper cites Missing base images example, project: ekumenlabs/terminus, commit:e2305d, dockerfile: docker/gazebo-terminus-intel-dev/dockerfile,.

Refactoring for Dockerfile Quality: A Dive into Developer Practices and Automation Potential Missing base images example, project: ekumenlabs/terminus, commit:e2305d, dockerfile: docker/gazebo-terminus-intel-dev/dockerfile,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:26:01.766297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers