Replication package of the paper titled "How do you Architect your Robots? State of the Practice and Guidelines for ROS-based Systems" published at ICSE-SEIP 2020
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Updated
Apr 15, 2020 - Python
Replication package of the paper titled "How do you Architect your Robots? State of the Practice and Guidelines for ROS-based Systems" published at ICSE-SEIP 2020
The code used in our ICSE 2019 paper "Going Farther Together: The Impact of Social Capital on Sustained Participation in Open Source"
Replication package of the paper titled "Mining Guidelines for Architecting Robotics Software" published at the International Journal of Systems and Software
Replication package of the paper titled "Detecting Technology-Agnostic Infrastructure Code Smells Using Unsupervised Learning: a Case Study on Blob Blueprint" submitted at Journal of Systems and Software.
📄 Replication package: Investigating High-Res Virtual Reality with Passthrough Cameras in the Wild for Work in Homes and Offices.
Replication package and dataset of our case study carried out at 30MHz and presented at ICSME 2020
Replication package of the paper titled "Mining the ROS ecosystem for Green Architectural Tactics in Robotics and an Empirical Evaluation" published at MSR 2021
Replication package for the ICSME 2020 paper "Pizza versus Pinsa: On the Perception and Measurability of Unit Test Code Quality"
Replication Package for the paper "Lightweight Assessment of Test Case Effectiveness using Source Code Quality Indicators"
Replication package of the paper titled "Mining Energy-Related Practices in Robotics Software" published at MSR 2021
Replication package for TSE2021 paper "API-Related Developer Information Needs in Stack Overflow"
Companion page for the research "A Process for Monitoring the Impact of Architecture Principles on Sustainability: An Industrial Case Study" accepted at "MDPI Software journal" 2024
Companion repository page for the study "ATDx: Building an Architectural Technical Debt Index"
Test Smells in Generated Tests - Replication Package
Dataset and code used to conduct survival analysis on software dynamics between maintenance and sustainable usage in open source.
EASE 2022 - An empirical study on the Performance and Energy Consumption of AI Containerization Strategies for Computer-Vision Tasks
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