SCAM 2020 : IEEE International Working Conference on Source Code Analysis and Manipulation

  in Conferences   Posted on December 6, 2019

Conference Information

Submission Deadline to be confirmed Proceedings indexed by :
Conference Dates Sep 26, 2020 - Sep 27, 2020
Conference Address Adelaide, Australia
Conference & Submission Link
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Guide2Research Overall Ranking: 335
Category Rankings
Computational Theory and Mathematics 43
Databases & Information Systems 86
Software Engineering & Programming 102
Number of Editions: 20 ( since 2001 )
CORE 2018 Rating: C
DBPL Proceedings

Google Scholar H5-index:

Conference Call for Papers

The 20th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2020) 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 2020 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:

program transformation and refactoring
static and dynamic analysis
natural language analysis of source code artifacts
repository, revision, and change analysis
source level metrics
bug location and prediction
security vulnerability analysis
source-level testing and verification
clone detection
concern, concept, and feature localization and mining
program comprehension
bad smell detection
abstract interpretation
program slicing
source level optimization
energy efficient source code

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 12 pages (the last 2 pages can be used for references only) and must conform to the IEEE proceedings paper format guidelines. 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. 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.

This year, we follow a double-blind reviewing process. Submitted papers must adhere to the following rules:

Author names and affiliations must be omitted. (The track co-chairs will check compliance before reviewing begins.)
References to authors\’ own related work must be in the third person. (For example, not \”We build on our previous work…\” but rather \”We build on the work of…\”)

Please see the Double-Blind Reviewing FAQ for more information and guidance.

SCAM 2020 also features a replication and negative results paper track for soliciting reproductibility and negative results papers and an engineering paper track for papers that report on the design and implementation of tools for source code analysis and manipulation.

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