Nathan Cooper

According to our database, Nathan Cooper authored at least 29 papers between 2014 and 2024.

Collaborative distances:

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

2024

Toward a Theory of Causation for Interpreting Neural Code Models.

David Nader-Palacio, Alejandro Velasco, Nathan Cooper, Alvaro Rodriguez, Kevin Moran, Denys Poshyvanyk

IEEE Trans. Software Eng., May, 2024

Enhancing Code Understanding for Impact Analysis by Combining Transformers and Program Dependence Graphs.

Yanfu Yan, Nathan Cooper, Kevin Moran, Gabriele Bavota, Denys Poshyvanyk, Steve Rich

Proc. ACM Softw. Eng., 2024

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference.

Benjamin Warner, Antoine Chaffin, Benjamin Clavié, Orion Weller, Oskar Hallström, Said Taghadouini, Alexis Gallagher, Raja Biswas, Faisal Ladhak, Tom Aarsen, Nathan Cooper, Griffin Adams, Jeremy Howard, Iacopo Poli

CoRR, 2024

Rephrasing natural text data with different languages and quality levels for Large Language Model pre-training.

Michael Pieler, Marco Bellagente, Hannah Teufel, Duy Phung, Nathan Cooper, Jonathan Tow, Paulo Rocha, Reshinth Adithyan, Zaid Alyafeai, Nikhil Pinnaparaju, Maksym Zhuravinskyi, Carlos Riquelme

CoRR, 2024

Perplexed: Understanding When Large Language Models are Confused.

Nathan Cooper, Torsten Scholak

CoRR, 2024

Stable Code Technical Report.

Nikhil Pinnaparaju, Reshinth Adithyan, Duy Phung, Jonathan Tow, James Baicoianu, Ashish Datta, Maksym Zhuravinskyi, Dakota Mahan, Marco Bellagente, Carlos Riquelme, Nathan Cooper

CoRR, 2024

Stable LM 2 1.6B Technical Report.

Marco Bellagente, Jonathan Tow, Dakota Mahan, Duy Phung, Maksym Zhuravinskyi, Reshinth Adithyan, James Baicoianu, Ben Brooks, Nathan Cooper, Ashish Datta, Meng Lee, Emad Mostaque, Michael Pieler, Nikhil Pinnaparaju, Paulo Rocha, Harry Saini, Hannah Teufel, Niccoló Zanichelli, Carlos Riquelme

CoRR, 2024

On the Generalizability of Transformer Models to Code Completions of Different Lengths.

Nathan Cooper, Rosalia Tufano, Gabriele Bavota, Denys Poshyvanyk

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2024

Semantic GUI Scene Learning and Video Alignment for Detecting Duplicate Video-based Bug Reports.

Yanfu Yan, Nathan Cooper, Oscar Chaparro, Kevin Moran, Denys Poshyvanyk

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023

Using Transfer Learning for Code-Related Tasks.

Antonio Mastropaolo, Nathan Cooper, David Nader-Palacio, Simone Scalabrino, Denys Poshyvanyk, Rocco Oliveto, Gabriele Bavota

IEEE Trans. Software Eng., April, 2023

Translating Video Recordings of Complex Mobile App UI Gestures into Replayable Scenarios.

Carlos Bernal-Cárdenas, Nathan Cooper, Madeleine Havranek, Kevin Moran, Oscar Chaparro, Denys Poshyvanyk, Andrian Marcus

IEEE Trans. Software Eng., April, 2023

Intelligent Software Tooling for Improving Software Development.

Nathan Cooper

CoRR, 2023

Toward a Theory of Causation for Interpreting Neural Code Models.

David N. Palacio, Nathan Cooper, Alvaro Rodriguez, Kevin Moran, Denys Poshyvanyk

CoRR, 2023

MASC: A Tool for Mutation-Based Evaluation of Static Crypto-API Misuse Detectors.

Amit Seal Ami, Syed Yusuf Ahmed, Radowan Mahmud Redoy, Nathan Cooper, Kaushal Kafle, Kevin Moran, Denys Poshyvanyk, Adwait Nadkarni

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

2022

Replication Package for: Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks.

Antonio Mastropaolo, Simone Scalabrino, Nathan Cooper, David Nader-Palacio, Denys Poshyvanyk, Rocco Oliveto, Gabriele Bavota

Dataset, January, 2022

Replication package for "An Empirical Study on the Usage of BERT Models for Code Completion".

Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota

Dataset, January, 2022

Replication package for "An Empirical Study on the Usage of Transformer Models for Code Completion".

Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Antonio Mastropaolo, Emad Aghajani, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota

Dataset, January, 2022

An Empirical Study on the Usage of Transformer Models for Code Completion.

Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Antonio Mastropaolo, Emad Aghajani, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota

IEEE Trans. Software Eng., 2022

A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research.

Cody Watson, Nathan Cooper, David Nader-Palacio, Kevin Moran, Denys Poshyvanyk

ACM Trans. Softw. Eng. Methodol., 2022

Can We Automatically Fix Bugs by Learning Edit Operations?

Aidan Connor, Aaron Harris, Nathan Cooper, Denys Poshyvanyk

Proceedings of the IEEE International Conference on Software Analysis, 2022

Why Crypto-detectors Fail: A Systematic Evaluation of Cryptographic Misuse Detection Techniques.

Amit Seal Ami, Nathan Cooper, Kaushal Kafle, Kevin Moran, Denys Poshyvanyk, Adwait Nadkarni

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

2021

An Empirical Study on the Usage of BERT Models for Code Completion.

Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota

Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021

Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks.

Antonio Mastropaolo, Simone Scalabrino, Nathan Cooper, David Nader-Palacio, Denys Poshyvanyk, Rocco Oliveto, Gabriele Bavota

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

V2S: A Tool for Translating Video Recordings of Mobile App Usages into Replayable Scenarios.

Madeleine Havranek, Carlos Bernal-Cárdenas, Nathan Cooper, Oscar Chaparro, Denys Poshyvanyk, Kevin Moran

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2021

A Replication Package for It Takes Two to Tango: Combining Visual and Textual Information for Detecting Duplicate Video-Based Bug Reports.

Nathan Cooper, Carlos Bernal-Cárdenas, Oscar Chaparro, Kevin Moran, Denys Poshyvanyk

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2021

It Takes Two to TANGO: Combining Visual and Textual Information for Detecting Duplicate Video-Based Bug Reports.

Nathan Cooper, Carlos Bernal-Cárdenas, Oscar Chaparro, Kevin Moran, Denys Poshyvanyk

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020

Ultra Low-Cost Printable Folding Robots.

Saul Schaffer, Emily Wang, Nathan Cooper, Bo Li, Fatma Zeynep Temel, Ozan Akkus, Victoria A. Webster-Wood

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Translating video recordings of mobile app usages into replayable scenarios.

Carlos Bernal-Cárdenas, Nathan Cooper, Kevin Moran, Oscar Chaparro, Andrian Marcus, Denys Poshyvanyk

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

2014

A confluence of new technology and the right to water: experience and potential from South Africa's constitution and commons.

Nathan Cooper, Andrew Swan, David Townend

Ethics Inf. Technol., 2014