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ZENODO
Software . 2018
License: CC BY SA
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2018
License: CC BY SA
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2018
License: CC BY SA
Data sources: ZENODO
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Artifact (software + dataset) for "Phys: Probabilistic Physical Unit Assignment and Inconsistency Detection"

Authors: Sayali Kate; John-Paul Ore; Xiangyu Zhang; Sebastian Elbaum; Zhaogui Xu;

Artifact (software + dataset) for "Phys: Probabilistic Physical Unit Assignment and Inconsistency Detection"

Abstract

https://unl-nimbus-lab.github.io/phys phys is a tool to detect physical unit inconsistencies in C++ that builds against the Robot Operating System. phys is a command-line tool that can be used with Docker. For example, assume a developer is building a robot and wants to calculate the length of the hypotenuse of a triangle with sides x_err and y_err, but the developer accidentally uses a multiply symbol (*) instead of an addition symbol (+), and ends up adding x_err * x_err (meter-squared) to err_y (meter): err_d = sqrt( err_x * err_x + err_y + err_y); (source) This code compiles and but this bug can be difficult to detect. It is coincidentally correct for values near 2. Yikes! This kind of error is called a physical unit inconsistency, and phys can detect it without developer annotations. ------------- THE BEST WAY TO START is by opening index.html from a web browser. This repository contains the following files and folders: Dockerfile : a Docker install file for **phys**. INSTALL.txt : Describes how to install **phys** using Docker and a minimal working example. LICENSE.txt : BSD-2-Clause license. README.md : This file. STATUS : Describes the ACM artifact badges sought for this artifact. data/ : Folder containing C++ files used to evaluate and test **phys**. docs/ : the help pages (HTML) referenced by index.html. index.html : THE BEST PLACE TO START. requirements.txt : List of python dependencies required by **phys**. Referenced by the Dockerfile. src/ : The python source code for **phys**. Credits CPPCheck libDAI NetworkX Phriky NLTK

Related Organizations
Keywords

static analysis, dimensional analysis, ROS, abstract type inference, physical units

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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