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SCAM 2017 : International Working Conference on Source Code Analysis and Manipulation


Conference Series : Source Code Analysis and Manipulation
When Sep 17, 2017 - Sep 18, 2017
Where China
Submission Deadline TBD

Call For Papers

17th IEEE International Working Conference on Source Code Analysis and Manipulation
September 17-18, 2017 - Shanghai, China


Call for Research Track Papers

The 17th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2017) aims to bring together researchers and practitioners working on theory, techniques, and applications that concern analysis and/or manipulation of the source code of software systems. The term "source code" refers to any fully executable description of a software system, such as machine code, (very) high-level languages, and executable graphical representations of systems. The term "analysis" refers to any (semi-)automated procedure that yields insight into source code, while "manipulation" refers to any automated or semi-automated procedure that takes and returns source code. While much attention in the wider software engineering community is directed towards other aspects of systems development and evolution, such as specification, design, and requirements engineering, it is the source code that contains the only precise description of the behavior of a system. Hence, the analysis and manipulation of source code remains a pressing concern for which SCAM 2017 solicits high quality paper submissions.
Covered Topics and Paper Formats

We welcome submission of papers that describe original and significant work in the field of source code analysis and manipulation. Topics of interest include, but are not limited to:
static and dynamic program analysis
repository, revision and change analysis
automated testing, abstract interpretation, verification
program transformation, slicing and refactoring
software quality, energy-efficiency, and security
source-level metrics and bad smells
clone and bug detection and prediction
concern and feature localization and mining

SCAM explicitly solicits results from any theoretical or technological domain that can be applied to these and similar topics. Submitted papers should describe original, unpublished, and significant work and must not have been previously accepted for publication nor be concurrently submitted for review in another journal, book, conference, or workshop. Papers must not exceed 10 pages including all text, references, appendices and figures and must conform to the IEEE proceedings paper format guidelines and must be clearly marked as a research paper. Templates in Latex and Word are available on IEEE's website. All submissions must be in English.

The papers should be submitted electronically in PDF format via EasyChair at submission will be reviewed by at least three members of the program committee, judging the paper on its novelty, quality, importance, evaluation, and scientific rigor. If the paper is accepted, at least one author must attend the conference and present the paper.

SCAM 2017 also features an engineering paper track for papers that report on the design and implementation of tools for source code analysis and manipulation.
All accepted papers will appear in the proceedings which will be available through the IEEE Digital Library.
Special Issue
A set of the best papers from SCAM 2017 will be invited to be considered for revision, extension, and publication in a special issue of the Journal of Empirical Software Engineering (under negotiation).
Important Dates for Research Papers
Abstract Deadline: June 15, 2017
Paper Deadline: June 19, 2017
Notification: July 20, 2017
Camera Ready Deadline: August 3, 2017

Program Committee
Research Track
Coen De Roover, Vrije Universiteit Brussel
Jianjun Zhao, Kyushu University
Christoph Treude, University of Adelaide
Ralf Huuck, Synopsys/University of New South Wales
Vadim Zaytsev, Raincode
Jens Nicolay, Vrije Universiteit Brussel
Fernando Castor, Universidade Federal de Pernambuco
Cheng Zhang, Google
Michael Godfrey, University of Waterloo
Abram Hindle, University of Alberta
Bram Adams, Ecole Polytechnique de Montréal
Nicolas Anquetil, University of Lille
Xavier Blanc, Bordeaux University
Sybille Schüpp, Hamburg University of Technology
Sandro Schulze, Otto-von-Guericke Universität Magdeburg
Ina Schaefer, Technische Universität Braunschweig
Ralf Lämmel, University of Koblenz-Landau
Jochen Quante, Robert Bosch GmbH
Árpád Beszédes, University of Szeged
Mariano Ceccato, Fondazione Bruno Kessler
Massimiliano Di Penta, Università degli Studi del Sannio di Benevento
Katsuro Inoue, Osaka University
Zhenjiang Hu, National Institute of Informatics
Naoyasu Ubayashi, Kyushu University
Sukyoung Ryu, Korea Advanced Institute of Science and Technology
Leon Moonen, Simula Research Laboratory
Lei Ma, Harbin Institute of Technology
Yuting Chen, Shanghai Jiao Tong University
Dan Hao, Peking University
David Lo, Singapore Management University
Lingxiao Jiang, Singapore Management University
Gregorio Robles, Universidad Rey Juan Carlos
Gabriele Bavota, University of Lugano
Alexander Serebrenik, Eindhoven University of Technology
Mauricio Aniche, Delft University of Technology
Federica Sarro, University College London
Denys Poshyvanyk, The College of William and Mary
Dave Binkley, Loyola University Maryland
Sonia Haiduc Florida State University
Hitesh Sajnani, Microsoft
Neil A. Ernst, Carnegie Mellon University
Emily Hill, Drew University
Dawn Lawrie, Loyola University Maryland

General Co-Chairs
Zheng Li, Beijing University of Chemical Technology
Sibylle Schupp, Hamburg University of Technology
Research Track Co-Chairs
Coen De Roover, Vrije Universiteit Brussel
Jianjun Zhao, Kyushu University
Engineering Track Co-Chairs
Qianxiang Wang, Huawei Technologies
Pascal Cuoq, TrustInSoft
Proceedings Chair
Sven Mattsen, Hamburg University of Technology
Finance Chair
Dave Binkley, Loyola University
Publicity Co-Chairs
Sandro Schulze, Otto-von-Guericke Universität Magdeburg
Dan Hao, Peking University
Social Media Chair
Web Chair
Paige Rodeghero, University of Notre Dame
Local Chair
Xin Peng, Fudan University

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