Andrew Wood

I am a 1st year Computer Science PhD student at Boston University, advised by Peter Chin in the Learning, Intelligence, and Signal Processing Laboratory. I am interested in Machine Intelligence, particularly in graph learning, computational neuroscience, and reinforcement learning.

I received my Masters degree in Computer Science from the University of Notre Dame in March of 2019, where I was advised by Collin McMillan. I worked at the intersection of Natural Language Processing (NLP) and Software Engineering (SE) to develop virtual assistant technology for programmers. You can download a copy of my Masters thesis here. My committee was: David Chiang, Collin McMillan, Jane Cleland-Huang.

Contact

111 Cummington Mall

Boston, MA, 02215

aewood@bu.edu

ResearchGate

Publications

• A. Wood, P. Rodeghero, A. Armaly, C. McMcillan. "Detecting Speech Act Types in Developer Question/Answer Conversations During Bug Repair". In 2018 ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), pages 491–502, Nov. 2018.

  Link

  Cite

                            
@inproceedings{Wood:2018:DSA:3236024.3236031,
 author = {Wood, Andrew and Rodeghero, Paige and Armaly, Ameer and McMillan, Collin},
 title = {Detecting Speech Act Types in Developer Question/Answer Conversations During Bug Repair},
 booktitle = {Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering},
 series = {ESEC/FSE 2018},
 year = {2018},
 isbn = {978-1-4503-5573-5},
 location = {Lake Buena Vista, FL, USA},
 pages = {491--502},
 numpages = {12},
 url = {http://doi.acm.org/10.1145/3236024.3236031},
 doi = {10.1145/3236024.3236031},
 acmid = {3236031},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {bug repair, classification, speech acts, virtual assistant},
}