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)

Translating video recordings of mobile app usages into replayable scenarios. - Carlos Bernal-Cárdenas; Nathan Cooper; Kevin Moran; Oscar Chaparro; Andrian Marcus; Denys Poshyvanyk (ICSE, 2020)

Ultra Low-Cost Printable Folding Robots. - Saul Schaffer; Emily Wang; Nathan Cooper; Bo Li 148; Fatma Zeynep Temel; Ozan Akkus; Victoria A. Webster-Wood (IROS, 2020)

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 (ICSE, 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 (ICSE (Companion Volume), 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 (ICSE (Companion Volume), 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 (ICSE, 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 (MSR, 2021)

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 (SP, 2022)

Can We Automatically Fix Bugs by Learning Edit Operations? - Aidan Connor; Aaron Harris; Nathan Cooper; Denys Poshyvanyk (SANER, 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)

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)

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 (Zenodo, 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 (Zenodo, 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 (Zenodo, 2022)

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 (ESEC/SIGSOFT FSE, 2023)

Intelligent Software Tooling for Improving Software Development. - Nathan Cooper (CoRR, 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., 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., 2023)

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 (ENLSP, 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 (ICSE, 2024)

On the Generalizability of Transformer Models to Code Completions of Different Lengths. - Nathan Cooper; Rosalia Tufano; Gabriele Bavota; Denys Poshyvanyk (ICSME, 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; et al. (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)

Perplexed: Understanding When Large Language Models are Confused. - Nathan Cooper; Torsten Scholak (CoRR, 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; et al. (CoRR, 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)

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., 2024)

It is all in the [MASK]: Simple instruction-tuning enables BERT-like masked language models as generative classifiers. - Benjamin Clavié; Nathan Cooper; Benjamin Warner (Nat. Lang. Process. J., 2025)

It's All in The [MASK]: Simple Instruction-Tuning Enables BERT-like Masked Language Models As Generative Classifiers. - Benjamin Clavié; Nathan Cooper; Benjamin Warner (CoRR, 2025)