P2 Learning from, understanding, and supporting DevOps artifacts for docker
学习、理解并支持面向 Docker 的 DevOps 制品
ICSE Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering2020匹配度 3/10 · 论文属于程序分析与静态分析，但应用领域是 Docker/DevOps 制品，与用户关注的 ML/Agentic 程序静态分析、LLM 改进静态分析、浮点/贝叶斯分析等核心方向没有直接交集。引用 54inbox
Jordan Henkel, Christian Bird, Shuvendu K. Lahiri, Thomas Reps
With the growing use of DevOps tools and frameworks, there is an increased need for tools and techniques that support more than code. The current state-of-the-art in static developer assistance for tools like Docker is limited to shallow syntactic validation. We identify three core challenges in the realm of learning from, understanding, and supporting developers writing DevOps artifacts: (i) nested languages in DevOps artifacts, (ii) rule mining, and (iii) the lack of semantic rule-based analysis. To address these challenges we introduce a toolset, binnacle, that enabled us to ingest 900,000 GitHub repositories.
@inproceedings{paperbot5627,
title = {Learning from, understanding, and supporting DevOps artifacts for docker},
author = {Jordan Henkel and Christian Bird and Shuvendu K. Lahiri and Thomas Reps},
booktitle = {ICSE},
year = {2020},
doi = {10.1145/3377811.3380406}
}