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donald-pinckney committed Feb 22, 2024
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title: Publications
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1. [Flexible and Optimal Dependency Management via Max-SMT](https://arxiv.org/abs/2203.13737). Donald Pinckney, Federico Cassano, Arjun Guha, Jonathan Bell, Massimiliano Culpo, Todd Gamblin. ICSE, 2023.
2. [A Large Scale Analysis of Semantic Versioning in NPM]({{site.baseurl}}/public/files/documents/msr23-npm.pdf). Donald Pinckney, Federico Cassano, Arjun Guha, Jonathan Bell. MSR, 2023.
3. [A Scalable and Extensible Approach to Benchmarking NL2Code for 18 Programming Languages](https://arxiv.org/abs/2208.08227). Federico Cassano, John Gouwar, Daniel Nguyen, Sydney Nguyen, Luna Phipps-Costin, Donald Pinckney, Ming-Ho Yee, Yangtian Zi, Carolyn Jane Anderson, Molly Q Feldman, Arjun Guha, Michael Greenberg, Abhinav Jangda. 2022.
4. [Wasm/k: Delimited Continuations for WebAssembly](https://arxiv.org/abs/2010.01723). Donald Pinckney, Arjun Guha, Yuriy Brun. DLS, 2020.
5. (**Distinguished Paper Award**) [Formal Foundations of Serverless Computing](https://arxiv.org/abs/1902.05870). Abhinav Jangda, Donald Pinckney, Yuriy Brun, Arjun Guha. OOPSLA, 2019.
1. **ICSE 2023** *Flexible and Optimal Dependency Management via Max-SMT*. **Donald Pinckney**, Federico Cassano, Arjun Guha, Jonathan Bell, Massimiliano Culpo, Todd Gamblin.
[[paper]](https://arxiv.org/abs/2203.13737)
[[talk]](https://youtu.be/O3eMwxRwhgI?si=TQwh39l6sT-NpaKN&t=939)
[[github]](https://github.com/donald-pinckney/pacsolve)
[[install]](https://www.npmjs.com/package/maxnpm)

1. **MSR 2023** *A Large Scale Analysis of Semantic Versioning in NPM*. **Donald Pinckney**, Federico Cassano, Arjun Guha, Jonathan Bell.
[[paper]](https://arxiv.org/abs/2304.00394)

1. **ESEC/FSE 2023 Demo Track** *npm-follower: A Complete Dataset Tracking the NPM Ecosystem*. **Donald Pinckney**, Federico Cassano, Arjun Guha, Jonathan Bell.
[[paper]](https://arxiv.org/abs/2308.12545)
[[talk]](https://2023.esec-fse.org/details/fse-2023-demonstrations/5/npm-follower-A-Complete-Dataset-Tracking-the-NPM-Ecosystem)
[[dataset]](https://dependencies.science)
[[github]](https://github.com/donald-pinckney/npm-follower)

1. **TSE 2023** *MultiPL-E: A Scalable and Polyglot Approach to Benchmarking Neural Code Generation*. Federico Cassano, John Gouwar, Daniel Nguyen, Sydney Nguyen, Luna Phipps-Costin, **Donald Pinckney**, Ming-Ho Yee, Yangtian Zi, Carolyn Jane Anderson, Molly Q Feldman, Arjun Guha, Michael Greenberg, Abhinav Jangda.
[[paper]](https://arxiv.org/abs/2208.08227)
[[talk]](https://2023.esec-fse.org/details/fse-2023-journal-first/11/MultiPL-E-A-Scalable-and-Polyglot-Approach-to-Benchmarking-Neural-Code-Generation)
[[github]](https://github.com/nuprl/MultiPL-E)
[[website]](https://nuprl.github.io/MultiPL-E/)

1. **DLS 2020** *Wasm/k: Delimited Continuations for WebAssembly*. **Donald Pinckney**, Yuriy Brun, Arjun Guha.
[[paper]](https://arxiv.org/abs/2010.01723)
[[talk]](https://youtu.be/2xp1gfYrmi0?si=uagMCYpHIO6oIIFh)
[[github]](https://github.com/donald-pinckney/WasmContinuations)
[[website]](https://wasmk.github.io)

1. **OOPSLA 2019, Distinguished Paper Award** *Formal Foundations of Serverless Computing*. Abhinav Jangda, **Donald Pinckney**, Yuriy Brun, Arjun Guha.
[[paper]](https://arxiv.org/abs/1902.05870)
[[talk]](https://youtu.be/-6jZfIvxtNI?si=Tfv5_h3R7fDC_OSP)
[[website]](https://plasma-umass.org/foundations-of-serverless/home/)


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