Publication:

DRIVE: Dockerfile Rule Mining and Violation Detection

Date

Date

Date
2023
Journal Article
Published version

Citations

Citation copied

Zhou, Y., Zhan, W., Li, Z., Han, T., Chen, T., & Gall, H. (2023). DRIVE: Dockerfile Rule Mining and Violation Detection. ACM Transactions on Software Engineering and Methodology, 33, 1–23. https://doi.org/10.1145/3617173

Abstract

Abstract

Abstract

A Dockerfile defines a set of instructions to build Docker images, which can then be instantiated to support containerized applications. Recent studies have revealed a considerable amount of quality issues with Dockerfiles. In this article, we propose a novel approach, Dockerfiles Rule mIning and Violation dEtection (DRIVE), to mine implicit rules and detect potential violations of such rules in Dockerfiles. DRIVE first parses Dockerfiles and transforms them to an intermediate representation. It then leverages an efficient sequential

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6 since deposited on 2024-01-04
Acq. date: 2025-11-13

Views

1 since deposited on 2024-01-04
Acq. date: 2025-11-13

Citations

Additional indexing

Creators (Authors)

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
33

Number

Number

Number
2

Page range/Item number

Page range/Item number

Page range/Item number
1

Page end

Page end

Page end
23

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Keywords

software engineering, docker configuration

Scope

Scope

Scope
Discipline-based scholarship (basic research)

Language

Language

Language
English

Publication date

Publication date

Publication date
2023-12-21

Date available

Date available

Date available
2024-01-04

Publisher

Publisher

Publisher

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
1049-331X

OA Status

OA Status

OA Status
Hybrid

Other Identification Number

Other Identification Number

Other Identification Number
merlin-id:24193

Metrics

Downloads

6 since deposited on 2024-01-04
Acq. date: 2025-11-13

Views

1 since deposited on 2024-01-04
Acq. date: 2025-11-13

Citations

Citations

Citation copied

Zhou, Y., Zhan, W., Li, Z., Han, T., Chen, T., & Gall, H. (2023). DRIVE: Dockerfile Rule Mining and Violation Detection. ACM Transactions on Software Engineering and Methodology, 33, 1–23. https://doi.org/10.1145/3617173

Hybrid Open Access
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Files
Files available to download:1

Files

Files

Files
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