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, SIGSOFT FSE, and AAAI.
Call for papers
Download and print our call for papers!
This interdisciplinary workshop will explore issues related to the statistical modeling of software corpora, including topics such as:
- Modeling repetitiveness ("naturalness") in source code
- Applications to code suggestion in IDEs
- Mining programming idioms
- Statistical inference of types and other annotations
- Applications of Statistical Machine Translation for porting and reverse engineering
- Statistical methods for bug localization
- Statistical methods for automatic code patching, code summarization, code retrieval, code annotation, or test generation
- Formal and informal methods for enhancing assurance via NLP techniques
We invite short position papers or early-stage research papers of at most 4 pages in length. Several submissions will be invited for presentation.
You are encouraged to use the dataset to demonstrate your technology.
We invite contributions of up to four pages in length describing early-stage research or position papers. All submissions must be previously unpublished and not submitted elsewhere, and must conform to the ACM proceedings formatting guidelines as specified by ESEC/FSE.
- August 31st, 2018
- Paper submission deadline (AoE)
- October 1st, 2018
- Author notification
- October 15th, 2018
- Camera-ready deadline (AoE)
|Yijun Yu||The Open University (UK)|
|Erik Fredericks||Oakland University|
|Prem Devanbu||University of California, Davis|
|Miltos Allamanis||Microsoft Cambridge (UK)|
|Earl Barr||Univerisity College London (UK)|
|Marc Brockschmidt||Microsoft Cambridge (UK)|
|Satish Chandra||Facebook, Inc. (USA)|
|William Cohen||Carnegie Mellon University (USA)|
|Premkumar Devanbu||University of California, Davis (USA)|
|Erik Fredericks||Oakland University (USA)|
|Reihaneh Hariri||Oakland University (USA)|
|Abram Hindle||University of Alberta (Canada)|
|Sung Kim||Hong Kong University of Science and Technology (HK)|
|Mark Marron||MSR, WA (USA)|
|Graham Neubig||Carnegie Mellon University (USA)|
|Michael Pradel||TU Darmstadt (Germany)|
|Baishakhi Ray||Virginia (USA)|
|Fayola Peters||Lero (Ireland)|
|Guangzhi Qu||Oakland University (USA)|
|Charles Sutton||University of Edinburgh (UK)|
|Thein Than Tun||Open University (UK)|
|Bogdan Vasilescu||Carnegie Mellon University (USA)|
|Martin Vechev||ETH Zurich (Switzerland)|
|Xiaoyin Wang||University of Texas St. Antonio (USA)|
|Alistair Willis||Open University (UK)|
|Yijun Yu||Open University (UK)|