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