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Amr Moussa

dblp:250/3865 · DBLP profile ↗
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2ranked-venue papers
1as first author
1since 2021 · last 2022
0000-0002-7717-8910ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Software testing · 100%
Artificial intelligence
1 paper
Autonomous driving · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Software testing
simulation-based testing
0.612022
Maktub: Lightweight Robot System Test Creation and Automation · ASE 2022
Robotics › Autonomous driving
simulation
0.212022
Maktub: Lightweight Robot System Test Creation and Automation · ASE 2022

Methods — techniques the papers use, named apart from their topics

ROS · 1.1unity · 0.6UNITY · 0.6
YearPublicationVenuePosition
2022 Maktub: Lightweight Robot System Test Creation and Automation
abstract
The rapid expansion of robotics relies on properly configuring and testing hardware and software. Due to the expense and hazard of real-world testing on hardware, robot system testing increasingly utilizes extensive simulation. Creating robot simulation tests requires specialized skills in robot programming and simulation tools. While there are many platforms and tool-kits to create these simulations, they can be cumbersome when combined with automated testing. We present Maktub: a tool for creating tests using Unity and ROS. Maktub leverages the extensive 3D manipulation capabilities of Unity to lower the barrier in creating system tests for robots. A key idea of Maktub is to make tests without needing robotic software development skills. A video demonstration of Maktub can be found here: https://youtu.be/c0Bacy3DlEE, and the source code can be found at https://github.com/RobotCodeLab/Maktub.
Amr Moussa, John-Paul Ore
ASE1
2019 Revealing Functional Connectivity by Learning Graph Laplacian
Minjeong Kim 0001, Amr Moussa, Peipeng Liang, Daniel Kaufer, Paul J. Laurienti, Guorong Wu 0001
MICCAI (3)2