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SI-SCSE 2015 : A special issue dedicated to Soft Computing in Software Engineering


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Submission Deadline Dec 30, 2015
Categories    computer science   machine learning   software engineering   soft computing

Call For Papers

A special issue dedicated to Soft Computing in Software Engineering:
Applied Soft Computing Journal (JCR Indexed, Impact Factor = 2.81)

Prospective authors are invited to submit their original unpublished research work.

The main focus of this issue is the application of Soft Computing on the following problems: software cost estimation, software defect prediction, software vulnerability prediction, categorization of applications, maintainability prediction, and quality prediction. However, the problems are not limited to this list and researchers may submit their original work for the other software engineering problems as well. We are looking for original research that has solved the technical challenges in Software Engineering using Soft Computing techniques.
Software-intensive systems are becoming more and more complex and therefore, we need more intelligent approaches to solve several challenging problems in this domain. Soft computing has many applications in Software Engineering. Researchers applied computational intelligence techniques for many challenging problems such as software cost estimation, and software defect prediction so far. Since software engineering problems have many dimensions, we need to investigate the use of soft computing on these challenging problems.
Software cost estimation studies predict the cost required to develop the software based on several uncertain inputs. Although the early cost estimation studies focused on regression analysis, recent approaches started to investigate the use of computational intelligence techniques such as genetic programming, fuzzy logic, and neural networks. This problem is an active research area in Software Engineering, and we are looking for studies that have solved some technical challenges using Soft Computing.
Software defect prediction models predict the defect-prone modules based on previous version’s software metrics and the fault labels. After the training model is built, it’s used to predict the defect-proneness labels of the current modules. Defect-prone modules are tested in detail and therefore, the limited testing resources are utilized effectively. Soft Computing may solve some specific challenges in this domain as well.
Software vulnerability prediction approaches look like similar to defect prediction, but they focus on vulnerability-prone modules. With the wide-spread use of web technologies in industry, it became crucial to eliminate the security problems, and these models contribute to solve some of these challenges. Researchers used text mining and software metrics as features of the models. This is relatively more recent problem compared to the software defect prediction, and therefore, Soft Computing may contribute to solve some challenging problems.
Software repositories keep the applications in an organized manner. The automatic categorization of software applications into domain categories is quite useful. When a company decides to build a software system, managers easily look at a specific domain to decide for the specific features. This categorization might be performed using either the source code or the byte code of the application. Recently, researchers investigated the use of machine learning on this problem and some challenges might be solved with Soft Computing approaches.
In addition to these problems, there are many problems which require the development of more intelligent approaches in Software Engineering and the following list shows some of these problems: Reusability prediction, testability prediction, software release timing, reliability prediction, size estimation, quality prediction, and maintainability prediction.
According to the recent studies, soft computing has become an important issue in the development of software engineering field. Soft Computing uses special techniques like neural networks, fuzzy logic, Support Vector Machines, Evolutionary computation to minimize the execution periods of functional tasks. The aim of this special issue is to highlight the utility of different soft computing methodologies on software engineering problems.

Topics of this special issue include (but not limited to)
Artificial Neural Networks
Support Vector Machines
Fuzzy Logic and Fuzzy Systems
Evolutionary Computation
Evolutionary Algorithms
Genetic Algorithms
Differential Evolution
Metaheuristic and Swarm Intelligence
Ant Colony Optimization
Particle Swarm Optimization
Probabilistic Reasoning
Bayesian Networks
Chaos Theory

Submission Guideline
Authors should prepare their manuscript according to the Guide for Authors available from the online submission page of the Applied Soft Computing at Authors must select “SI: SC in Software Engineering” when they reach the “Article Type” step in the submission process. All the papers will be peer-reviewed following the Applied Soft Computing reviewing procedures.
Authors should submit their journal version at Manuscript Central adhering to the formatting instructions on the journal Web page and indicate that you are submitting to the Special Issue on Soft Computing in Software Engineering on the first page and in the field "Author's Cover Letter:" in manuscript central. For additional questions please send an email to the Guest Editors.

Key deadlines/dates:
The deadline to submit is: Dec. 30, 2015
Notification: Feb 28, 2016
1st revision due: April 30, 2016
2nd revision notification: June 30, 2016
Final acceptance: August 30, 2016

Guest editors:
Cagatay CATAL (Assoc. Prof. Dr.)
Organization: Istanbul Kültür University (Turkey)
Suborganization: Department of Computer Engineering
Address: Istanbul Kultur University, Atakoy Campus E5 Highway Londra asphalt, Bakirkoy, 34156 / Istanbul, Turkey
Tel: +902124984215, Fax: + 902124658308

Coskun BAYRAK (Prof. Dr.)
Organization: University of Arkansas at Little ROCK (USA)
Suborganization: Department of Computer Science
Address: University of Arkansas at Little Rock, Dept. of Computer Science, EIT Blg. Room 577,
Tel: (501) 569-8137

Ali Bou Nassif (Assist. Prof. Dr.)
Organization: University of Sharjah
Suborganization: Department of Electrical and Computer Engineering
Address: University of Sharjah, Sharjah, UAE, POBOX: 27272

Kemal Polat (Assoc. Prof. Dr.)
Organization: Abant Izzet Baysal University (Turkey)
Suborganization: Department of Electrical and Electronics Engineering
Address: Abant Izzet Baysal University, Faculty of Eng. and Arch., Dept. of Electrical and Electronics Engineering, Bolu, 14280, Turkey
Tel: +905305619226, Fax: + 9037425 4558

Akhan Akbulut (Assist. Prof. Dr.)
Organization: Istanbul Kültür University (Turkey)
Suborganization: Department of Computer Engineering
Address: Istanbul Kultur University, Atakoy Campus E5 Highway Londra asphalt, Bakirkoy, 34156 / Istanbul, Turkey
Tel: +902124984217, Fax: + 902124658308

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