Conference Papers

Semantic Robustness of Models of Source Code

Jordan Henkel*Goutham Ramakrishnan*Zi WangAws AlbarghouthiSomesh JhaThomas Reps

A framework for testing the robustness of models of source code against sequences semantics-preserving transformations. Additionally, new results on the interplay between robustness of models of code and the domain-adaptation and cross-language-transfer tasks.

pdfarXiv

Shipwright: A Human-in-the-Loop System for Dockerfile Repair

Jordan Henkel*Denini Silva*Leopoldo TeixeiraMarcelo d'AmorimThomas Reps

Shipwright is a human-in-the-loop system for automated repair of broken Dockerfiles. We were able to use Shipwright to submit 45 pull requests with a 42.2% acceptance rate.

pdfacmarXivdatasetsslidesvideo

Learning from, Understanding, and Supporting DevOps Artifacts for Docker

Jordan HenkelChristian BirdShuvendu K. LahiriThomas Reps

A toolset for advanced Dockerfile parsing, Dockerfile rule mining, and rule-based static analysis of Dockerfiles. This paper seeks to improve the support for Docker (and, more generally, DevOps artifacts) by taking the first steps toward automated rule mining in this domain.

pdfacmarXivdatasetsvideo

Code Vectors: Understanding Programs Through Embedded Abstracted Symbolic Traces

Jordan HenkelShuvendu K. LahiriBen LiblitThomas Reps

A novel technique for embedding semantically rich program artifacts. This paper explores how to combine sophisticated program analysis (in the form of lightweight symbolic execution) with off-the-shelf machine learning.

pdfacmarXivdatasets