activity
20032021
most citedLearning from, Understanding, and Supporting DevOps Artifacts for Docker

54 citations · 86 across the 10 of their papers we have counts for

collaborators

18 papers

cs.SE2021

Lightweight, Multi-Stage, Compiler-Assisted Application Specialization

Mohannad Alhanahnah, Rithik Jain, Vaibhav Rastogi +2

Program debloating aims to enhance the performance and reduce the attack surface of bloated applications. Several techniques have been recently proposed to specialize programs. The…

cs.PL20211 cited

Sound Probabilistic Inference via Guide Types

Di Wang, Jan Hoffmann, Thomas Reps

Probabilistic programming languages aim to describe and automate Bayesian modeling and inference. Modern languages support programmable inference, which allows users to customize i…

cs.PL20212 cited

Expected-Cost Analysis for Probabilistic Programs and Semantics-Level Adaption of Optional Stopping Theorems

Di Wang, Jan Hoffmann, Thomas Reps

In this article, we present a semantics-level adaption of the Optional Stopping Theorem, sketch an expected-cost analysis as its application, and survey different variants of the O…

cs.SE2021

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

Jordan Henkel, Denini Silva, Leopoldo Teixeira +2

Docker is a tool for lightweight OS-level virtualization. Docker images are created by performing a build, controlled by a source-level artifact called a Dockerfile. We studied Doc…

cs.PL2021

Synthesis with Asymptotic Resource Bounds

Qinheping Hu, John Cyphert, Loris D'Antoni +1

We present a method for synthesizing recursive functions that satisfy both a functional specification and an asymptotic resource bound. Prior methods for synthesis with a resource…

cs.PL2020

Semantics-Guided Synthesis

Jinwoo Kim, Qinheping Hu, Loris D'Antoni +1

This paper develops a new framework for program synthesis, called semantics-guided synthesis (SemGuS), that allows a user to provide both the syntax and the semantics for the const…