ORCSolver: An Efficient Solver for Adaptive GUI Layout with OR-Constraints

publications

ORCSolver: An Efficient Solver for Adaptive GUI Layout with OR-Constraints

Yue Jiang · Wolfgang Stuerzlinger · Matthias Zwicker · Christof Lutteroth

ACM CHI Conference on Human Factors in Computing Systems, 2020

Paper · Video · BibTeX

ORC Layout: Adaptive GUI Layout with OR-Constraints

Yue Jiang · Ruofei Du · Christof Lutteroth · Wolfgang Stuerzlinger

ACM CHI Conference on Human Factors in Computing Systems, 2019

Paper · Video · BibTeX

Related Publication

ReverseORC: Reverse Engineering of Resizable User Interface Layouts with OR-Constraints

Yue Jiang · Wolfgang Stuerzlinger · Christof Lutteroth

ACM CHI Conference on Human Factors in Computing Systems, 2021

Paper · Video · BibTeX Code

Prerequisite installation

To get started:

git clone https://github.com/YueJiang-nj/ORCSolver-CHI2020.git

1. Python3 
2. Tkinter (GUI package)
3. CVXPY (a Python-embedded language for convex optimization problems)
4. Microsoft Z3 Solver [Optional] (only needed for running Z3 version)

Layout

The project has the following file layout:

README.md
API_ORCSolver.pdf
Code/
  ORCSolver (Ours)/
  PureBranch&Bound/
  PureZ3/
  QPforFlows/
  images/

The API_ORCSolver.pdf includes the API of ORCSolver which can be used to specify layouts. Our API allows us to plug in different solvers for different ORC patterns (including ORCSolver(Ours), QP for Flows, and Pure Branch & Bound).

The Code folder contains all the source code for all the four methods as mentioned in the paper (ORCSolver(Ours), Pure Z3, QP for Flows, Pure Branch & Bound). We also provide sample code for some layout patterns and the code generating examples in our teaser and video.