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SCAM 2017 : International Working Conference on Source Code Analysis and ManipulationConference Series : Source Code Analysis and Manipulation | |||||||||||
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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 Submitted papers should describe original, unpublished, and significant work and must not have been previously accepted for publication nor be concurrently submitted for review in another journal, book, conference,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 https://easychair.org/conferences/?conf=scam2017. 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. Proceedings 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 Chairs Coen De Roover, Vrije Universiteit Brussel Jianjun Zhao, Kyushu University Members 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 TBA Web Chair Paige Rodeghero, University of Notre Dame Local Chair Xin Peng, Fudan University |
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