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ComSIS 2018 : Computer Science and Information Systems | |||||||||||
Link: http://www.comsis.org/ | |||||||||||
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Call For Papers | |||||||||||
Computer Science and Information Systems (ComSIS) is an international refereed journal published by the ComSIS Consortium. The objective of ComSIS is to communicate important research and development results in the areas of computer science, software engineering, and information systems.
ISSN: 1820-0214 (Print) 2406-1018 (Online) AIMS AND SCOPE ComSIS publishes original papers of lasting value covering both theoretical foundations of computer science and commercial, industrial, or educational aspects that provide new insights into design and implementation of software and information systems. ComSIS also welcomes surveys papers that contribute to the understanding of emerging and important fields of computer science. In addition to wide-scope regular issues, ComSIS also includes special issues covering specific topics in all areas of computer science and information systems. ComSIS publishes invited and regular papers in English. Papers that pass a strict reviewing procedure are accepted for publishing. ComSIS is published semiannually, with online and printed issues appearing simultaneously. IMPACT FACTOR Two-year impact factor (2016): 0.837 Five-year impact factor (2016): 0.881 INDEXING INFORMATION ComSIS is covered or selected for coverage in the following: - Science Citation Index (also known as SciSearch) and Journal Citation Reports / Science Edition by Thomson Reuters - Computer Science Bibliography, University of Trier (DBLP) - EMBASE (Elsevier) - Scopus (Elsevier) - Summon (Serials Solutions) - EBSCO bibliographic databases - IET bibliographic database Inspec - FIZ Karlsruhe bibliographic database io-port - Google Scholar - Index of Information Systems Journals (Deakin University) - Journal Bibliometric Report of the Center for Evaluation in Education and Science (CEON/CEES) in cooperation with the National Library of Serbia, for the Serbian Ministry of Education and Science - doiSerbia OPEN ACCESS POLICY ComSIS is an Open Access journal. All articles can be downloaded free of charge and used in accordance with the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. ComSIS charges a nominal fee for printed volumes only. The journal does not charge any fees at submission, reviewing, and production stages of regular articles. ComSIS reserves the right to charge a nominal fee to cover article production and printing expenses of some special sections and/or special issues. SUBMISSION GUIDELINES An electronic version (MS Word DOC or PDF) of the manuscript written in English intended for publication, along with a cover letter containing the corresponding author's details, should be submited online (https://ojs.pmf.uns.ac.rs/index.php/comsis). Authors are kindly requested to use our MS Word template or a LaTeX template (http://www.comsis.org/download.php) for preparing their manuscripts. More information for contributors is available at http://www.comsis.org/information.php PEER REVIEW PROCESS Criteria for acceptance will be appropriateness to the field of the Journal, as described in the Aims and Scope, taking into account the merit of the content and presentation. The number of pages of submitted articles is limited to 20 (using the appropriate Word or LaTeX template). Manuscripts should be clearly written. Abstracts should be self-contained and informative of what was learned from the research. Rigorous argument and presentation are expected throughout. At the explicit request from authors, a blind review process can be executed. FOR READERS Current issue: http://www.comsis.org/current.php Forthcoming articles: http://www.comsis.org/archive.php?show=lstnew Archive: http://www.comsis.org/archive.php Everyone interested in receiving e-mail notifications when new issues of ComSIS are published may now register with the Open Journal System (https://ojs.pmf.uns.ac.rs/index.php/comsis), selecting the role of "Reader". COMSIS CONSORTIUM The ComSIS Consortium is a group of leading scientific institutions from universities in Serbia and Montenegro, including the Serbian Academy of Science and Art, who jointly publish the ComSIS journal. ComSIS Journal is sponsored by the Ministry of Education, Science and Technological Development of Republic of Serbia. EDITORS Editor-in-Chief Mirjana Ivanović, University of Novi Sad Vice Editor-in-Chief Ivan Luković, University of Novi Sad CONTACT INFORMATION Email address: comsis@uns.ac.rs Web address: www.comsis.org THE LATEST ComSIS ISSUE (Volume 15, Issue 1, January 2018) Table of Contents ================= Editorial http://www.comsis.org/archive.php?show=pag1501 *** Context-sensitive Constraints for Access Control of Business Processes Gordana Milosavljević, Goran Sladić, Branko Milosavljević, Miroslav Zarić, Stevan Gostojić and Jelena Slivka http://www.comsis.org/archive.php?show=ppr597-1606 *** An Approach to Business Process Simulation using Mined Probabilistic Models Titas Savickas and Olegas Vasilecas http://www.comsis.org/archive.php?show=ppr631-1706 *** A Novel Inheritance Mechanism for Modeling Knowledge Representation Systems Marek Krótkiewicz http://www.comsis.org/archive.php?show=ppr635-1706 *** Traditionalisation of Agile Processes: Architectural Aspects Predrag Matkovic, Mirjana Maric, Pere Tumbas and Marton Sakal http://www.comsis.org/archive.php?show=ppr599-1608 *** Prevention of Cross-update Privacy Leaks on Android Beumjin Cho, Sangho Lee, Meng Xu, Sangwoo Ji, Taesoo Kim and Jong Kim http://www.comsis.org/archive.php?show=ppr641-1707 *** Evaluation of Takagi-Sugeno-Kang fuzzy method in entropy-based detection of DDoS attacks Miodrag Petkovic, Ilija Basicevic, Dragan Kukolj and Miroslav Popovic http://www.comsis.org/archive.php?show=ppr602-1609 *** CSDSM: Cognitive Switch-based DDoS Sensing and Mitigation in SDN-driven CDNi Word Nishat I Mowla, Inshil Doh and Kijoon Chae http://www.comsis.org/archive.php?show=ppr623-1703 *** HMC-ReliefF: Feature Ranking for Hierarchical Multi-label Classification Ivica Slavkov, Jana Karcheska, Dragi Kocev and Sašo Džeroski http://www.comsis.org/archive.php?show=ppr613-1701 *** Forecasting Stock Index with Multi-objective Optimization Model Based on Optimized Neural Network Architecture Avoiding Overfitting Zhou Tao, Hou Muzhou and Liu Chunhui http://www.comsis.org/archive.php?show=ppr616-1701 *** Black Box Delay Fault Models for Non-scan Sequential Circuits Eduardas Bareisa, Vacius Jusas, Kestutis Motiejunas, Liudas Motiejunas and Rimantas Seinauskas http://www.comsis.org/archive.php?show=ppr610-1611 |
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