Scott Barnett

According to our database, Scott Barnett authored at least 29 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LLMs for Test Input Generation for Semantic Caches.

Zafaryab Rasool, Scott Barnett, David Willie, Stefanus Kurniawan, Sherwin Balugo, Srikanth Thudumu, Mohamed Almorsy Abdelrazek

CoRR, 2024

ML-On-Rails: Safeguarding Machine Learning Models in Software Systems A Case Study.

Hala Abdelkader, Mohamed Abdelrazek, Scott Barnett, Jean-Guy Schneider, Priya Rani, Rajesh Vasa

CoRR, 2024

Seven Failure Points When Engineering a Retrieval Augmented Generation System.

Scott Barnett, Stefanus Kurniawan, Srikanth Thudumu, Zach Brannelly, Mohamed Abdelrazek

CoRR, 2024

2023

Estimating Patient-Level Uncertainty in Seizure Detection Using Group-Specific Out-of-Distribution Detection Technique.

Sheng Wong, Anj Simmons, Jessica Rivera-Villicana, Scott Barnett

Sensors, October, 2023

Evaluating LLMs on Document-Based QA: Exact Answer Selection and Numerical Extraction using Cogtale dataset.

Zafaryab Rasool, Scott Barnett, Stefanus Kurniawan, Sherwin Balugo, Rajesh Vasa, Courtney Chesser, Alex Bahar-Fuchs

CoRR, 2023

Green Runner: A tool for efficient model selection from model repositories.

Jai Kannan, Scott Barnett, Anj Simmons, Taylan Selvi, Luis Cruz

CoRR, 2023

Toward a Unified mHealth Platform: A Survey of Current User Challenges and Expectations.

Ben Joseph Philip, Mohamed Almorsy Abdelrazek, Scott Barnett, Alessio Bonti, John Grundy

IEEE Access, 2023

MLGuard: Defend Your Machine Learning Model!

Sheng Wong, Scott Barnett, Jessica Rivera-Villicana, Anj Simmons, Hala Abdelkader, Jean-Guy Schneider, Rajesh Vasa

Proceedings of the 1st International Workshop on Dependability and Trustworthiness of Safety-Critical Systems with Machine Learned Components, 2023

Cell2Doc: ML Pipeline for Generating Documentation in Computational Notebooks.

Tamal Mondal, Scott Barnett, Akash Lal, Jyothi Vedurada

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

mHealthSwarm: A Unified Platform for mHealth Applications.

Ben Joseph Philip, Yasmeen Anjeer Alshehhi, Mohamed Abdelrazek, Scott Barnett, Alessio Bonti, John Grundy

Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering, 2023

Decentralized Federated Learning Strategy with Image Classification using ResNet Architecture.

Hung Du, Srikanth Thudumu, Sankhya Singh, Scott Barnett, Irini Logothetis, Rajesh Vasa, Kon Mouzakis

Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

2022

Comparative analysis of real bugs in open-source Machine Learning projects - A Registered Report.

Tuan Dung Lai, Anj Simmons, Scott Barnett, Jean-Guy Schneider, Rajesh Vasa

CoRR, 2022

Towards Better mHealth Apps: Understanding Current Challenges and User Expectations.

Ben Joseph Philip, Mohamed Abdelrazek, Scott Barnett, Alessio Bonti, John C. Grundy

Proceedings of the 9th IEEE/ACM International Conference on Mobile Software Engineering and Systems, 2022

MLSmellHound: A Context-Aware Code Analysis Tool.

Jai Kannan, Scott Barnett, Luis Cruz, Anj Simmons, Akash Agarwal

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Results ICSE (NIER) 2022, 2022

Subspace based Anomaly Detection Framework for Point Clouds.

Johnahan Van Zyl, Hung Du, Srikanth Thudumu, Irini Logothetis, Scott Barnett, Rajesh Vasa, Kon Mouzakis

Proceedings of the 18th IEEE International Conference on e-Science, 2022

PiMS: A Pre-ML Labelling Tool.

Irini Logothetis, Scott Barnett, Leonard Hoon, Srikanth Thudumu, Joseph Mathew, Carl Luckhoff, Gerard O'Reilly, David Collard, Rajesh Vasa, Kon Mouzakis, Mark Fitzgerald

Proceedings of the 18th IEEE International Conference on e-Science, 2022

A Framework for Evaluating MRC Approaches with Unanswerable Questions.

Hung Du, Srikanth Thudumu, Sankhya Singh, Scott Barnett, Irini Logothetis, Rajesh Vasa, Kon Mouzakis

Proceedings of the 18th IEEE International Conference on e-Science, 2022

2021

Emotions in Computer Vision Service Q&A.

Alex Cummaudo, Ulrike Maria Graetsch, Maheswaree Kissoon Curumsing, Rajesh Vasa, Scott Barnett, John Grundy

Proceedings of the 6th IEEE/ACM International Workshop on Emotion Awareness in Software Engineering, 2021

Towards a taxonomy for annotation of data science experiment repositories.

Shangeetha Sivasothy, Scott Barnett, Niroshinie Fernando, Rajesh Vasa, Roopak Sinha, Andrew J. Simmons

Proceedings of the 21st IEEE International Working Conference on Source Code Analysis and Manipulation, 2021

2020

Ranking Computer Vision Service Issues using Emotion.

Maheswaree Kissoon Curumsing, Alex Cummaudo, Ulrike Maria Graetsch, Scott Barnett, Rajesh Vasa

CoRR, 2020

Threshy: supporting safe usage of intelligent web services.

Alex Cummaudo, Scott Barnett, Rajesh Vasa, John C. Grundy

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Beware the evolving 'intelligent' web service! an integration architecture tactic to guard AI-first components.

Alex Cummaudo, Scott Barnett, Rajesh Vasa, John C. Grundy, Mohamed Abdelrazek

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Interpreting cloud computer vision pain-points: a mining study of stack overflow.

Alex Cummaudo, Rajesh Vasa, Scott Barnett, John C. Grundy, Mohamed Abdelrazek

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

A large-scale comparative analysis of Coding Standard conformance in Open-Source Data Science projects.

Andrew J. Simmons, Scott Barnett, Jessica Rivera-Villicana, Akshat Bajaj, Rajesh Vasa

Proceedings of the ESEM '20: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2020

2019

Supporting multi-view development for mobile applications.

Scott Barnett, Iman Avazpour, Rajesh Vasa, John Grundy

J. Comput. Lang., 2019

2018

Data Provenance for Sport.

Andrew J. Simmons, Scott Barnett, Simon Vajda, Rajesh Vasa

CoRR, 2018

2015

A Conceptual Model for Architecting Mobile Applications.

Scott Barnett, Rajesh Vasa, Antony Tang

Proceedings of the 12th Working IEEE/IFIP Conference on Software Architecture, 2015

A multi-view framework for generating mobile apps.

Scott Barnett, Iman Avazpour, Rajesh Vasa, John C. Grundy

Proceedings of the 2015 IEEE Symposium on Visual Languages and Human-Centric Computing, 2015

Bootstrapping Mobile App Development.

Scott Barnett, Rajesh Vasa, John Grundy

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015