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