SE 2018 - WORKSHOP ON NLP FOR SOFTWARE ENGINEERING
Topics/Call fo Papers
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.
This interdisciplinary workshop will explore issues related to the
statistical modeling of software corpora, including topics such as:
modeling repetitiveness in source code; use of language models for the
code suggestion in IDEs; using probabilistic grammars to mine
programming idioms; statistical methods for type inference in a
dynamically typed languages; statistical machine translation for
porting applications between programming languages, or
“mini-fying”Javascript; using statistical language models to find
bugs; or statistical methods for automatic code patching, code
summarization, code retrieval, code annotation, or test generation.
The workshop follows several earlier workshops on this topic at
Microsoft Research, Dagstuhl event, and SIGSOFT FSE. We are delighted
that the workshop will feature two invited speakers: Graham Neubig ,
of Carnegie-Mellon University, and Danny Tarlow , of Google Brain.
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.
Please submit your paper here:
https://easychair.org/conferences/?conf=nl4se
October 13, 2017 - Workshop Submissions Due
November 9, 2017 - Notifications Sent to Authors
November 21, 2017 - Final Workshop Papers Due at AAAI
FUNDING
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.
PROGRAM COMMITTEE
Prem Devanbu University of California, Davis (Co-chair)
William Cohen Carnegie-Mellon University (Co-chair)
Earl Barr University College, London
Jacob Devlin Google
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
For questions or comments about the workshop, please contact William
Cohen or Prem Devanbu.
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.
This interdisciplinary workshop will explore issues related to the
statistical modeling of software corpora, including topics such as:
modeling repetitiveness in source code; use of language models for the
code suggestion in IDEs; using probabilistic grammars to mine
programming idioms; statistical methods for type inference in a
dynamically typed languages; statistical machine translation for
porting applications between programming languages, or
“mini-fying”Javascript; using statistical language models to find
bugs; or statistical methods for automatic code patching, code
summarization, code retrieval, code annotation, or test generation.
The workshop follows several earlier workshops on this topic at
Microsoft Research, Dagstuhl event, and SIGSOFT FSE. We are delighted
that the workshop will feature two invited speakers: Graham Neubig ,
of Carnegie-Mellon University, and Danny Tarlow , of Google Brain.
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.
Please submit your paper here:
https://easychair.org/conferences/?conf=nl4se
October 13, 2017 - Workshop Submissions Due
November 9, 2017 - Notifications Sent to Authors
November 21, 2017 - Final Workshop Papers Due at AAAI
FUNDING
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.
PROGRAM COMMITTEE
Prem Devanbu University of California, Davis (Co-chair)
William Cohen Carnegie-Mellon University (Co-chair)
Earl Barr University College, London
Jacob Devlin Google
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
For questions or comments about the workshop, please contact William
Cohen or Prem Devanbu.
Other CFPs
- PRIVACY IN STATISTICAL DATABASES 2018 (PSD 2018)
- 11th International Conference on Science, Technology, Engineering and Management 2018
- Third International Congress on Big Data & Analytics 2018
- 9th Edition of International Conference on Alternative Medicine
- 4th International Conference on Social Sciences, Humanities & Business 2018
Last modified: 2017-10-08 13:26:52