The proliferation of open-source projects has led to large amounts of source code and related artifacts: arguably, the rich and open resources associated with software--including open source repositories, Q/A sites, change histories, and communications between developers--are the richest and most detailed information resource for any technical area. Recently it has been discovered that “natural”, human-produced software has many interesting statistical regularities. As a consequence code corpora, just like natural language corpora, are amenable to statistical modeling, and a number of software tasks such as coding, testing, porting, bug-patching etc are potentially enhanced by the use of these statistical models.
The workshop follows several earlier workshops on this topic at Microsoft Research, Dagstuhl event, and SIGSOFT FSE.
We gratefully acknowledge funding, from NSF, to support a limited number of US travellers to the workshop, especially students and members of under-represented groups, and researchers that might not normally attend AAAI.
Call for participation
We invite short position papers, of at most 4 pages in length. Submissions will be reviewed primarily for relevance, will not appear in ACM Digital Library, and may be published subsequently elsewhere. A few of the submissions will be invited for presentation.
- October 16, 2017
- Workshop Submissions Due (AOE time)
- November 9, 2017
- Notifications Sent to Authors
- November 21, 2017
- Final Workshop Papers Due at AAAI
|Prem Devanbu||University of California, Davis|
|William Cohen||Carnegie-Mellon University|
|Earl Barr||University College, London|
|Doug Downey||Northwestern University|
|Aditya Kanade||Indian Institute of Science|
|Ray Mooney||UT Austin|
|Graham Neubig||Carnegie-Mellon University|
|Tien Nguyen||UT Dallas|
|Charles Sutton||University of Edinburgh|
|Bogdan Vasilescu||Carnegie-Mellon University|
|Martin Vechev||ETH, Zurich|