i-manager's Journal on Software Engineering (JSE)


Volume 10 Issue 3 January - March 2016 [Open Access]

Research Paper

Requirements Elicitation Approach for Cyber Security Systems

Issa Atoum*
*Assistant Professor, Information Technology, The World Islamic Sciences and Education University, Amman, Jordan.
Atoum, I. (2016). Requirements Elicitation Approach for Cyber Security Systems. i-manager’s Journal on Software Engineering, 10(3), 1-5. https://doi.org/10.26634/jse.10.3.4898

Abstract

Requirements elicitation is considered the most important step in software engineering. There are several techniques to elicit requirements, however they are limited. Most approaches are general qualitative approaches. Thus, they do not suite specific software domain, such as cyber security. This article proposes a new technique to elicit requirements from cyber security strategies. The approach is able to formally define requirements' strengths, and link them with respective analyst's expertise. Consequently, management can easily select the appropriate requirements to be implemented. The use of the proposed approach on a selected cyber security domain showed its applicability on cyber security framework implementations.

Research Paper

Leveraging Configuration Management and Product Evolution of SPLUsing Variability Aware Design Patterns

K.L.S. Soujanya* , A. Ananda Rao**
* Associate Professor, Department of Computer Science Engineering, CMRCET, JNTUH, Telangana, India.
** Professor and Director, Department of Computer Science Engineering, JNTUA, Ananthapuramu, Andhra Pradesh, India.
Soujanya, K. L. S., and Rao, A. A. (2016). Leveraging Configuration Management and Product Evolution of SPL Using Variability Aware Design Patterns. i-manager’s Journal on Software Engineering, 10(3), 6-13. https://doi.org/10.26634/jse.10.3.4899

Abstract

Software Product Line (SPL) is an emerging approach to satisfy the ever-increasing customization demands by reusing commonalities and variability's. Variability - aware design patterns can leverage SPL configuration management and evolution of new products. Design pattern is a blueprint or model solution to a frequently occurring design problem. Variability aware design patterns can address variability and help in customizing software products. Modularization of artefacts and reusability of them can be realized by using design patterns. Design patterns in SPL is relatively used in new research area. However, composite design patterns that are variability-aware can lead to the realization of high quality SPL. In this context, the configuration management and product derivation are to be conceived and handled. There are no dedicated efforts found in the literature to leverage the usage of design patterns in SPL. The authors proposed a framework and provided provision for variability-aware design patterns. They use the concept of roles and map them to variability model. Then they map design pattern roles to artefacts thus realizing variability with industry best practices. This will help in improving the dynamic reconfiguration of SPL artefacts. Their empirical evaluation shows that the approach improved performance up to 20% with respect to configuration management of SPL and product derivation. The prototype demonstrates the proof of concept.

Research Paper

Approaching Developments on Parallel Programming Models Through JAVA

Dr. Bala Dhandayuthapani* , G.M. Nasira**
* Research Scholar, Department of Information Technology, Manonmaniam Sundaranar University, Tamilnadu, India.
** Assistant Professor, Department of Computer Science, Chikkanna Govt Arts College, Tamilnadu, India.
Veerasamy, B. D., and Nasira, G. M. (2016). Approaching Developments on Parallel Programming Models Through JAVA. i-manager’s Journal on Software Engineering, 10(3), 14-19. https://doi.org/10.26634/jse.10.3.4900

Abstract

Multicore platforms allow developers to optimize applications by intelligent partitioning at different workloads on different processor cores. Currently, application programs are optimized to use multiple processor resources, resulting in faster application performance. The authors earlier research work focused on native thread for Java on windows thread, Pthread, and Intel TBB. The authors also developed Native Threads, Native Pthread, Java Native Intel TBB beneath windows 32-bit platform. This article aims to identify the future directions of native thread for Java on windows thread, Pthread, and Intel TBB through JNI beneath windows 64-bit platforms and other platform besides. Furthermore, it articulates additional opening to pursue approaching developments on parallel programming models through Java.

Review Paper

A Survey of Genetic Feature Selection for Software Defect Prediction

R. Reena* , R. Thirumalaiselvi**
* Research Scholar, Department of Computer Science, Government Arts College, Nandanam, Chennai, India.
** Assistant Professor, Department of Computer Science, Government Arts College, Nandanam, Chennai, India.
Reena, R., and Selvi, R. T. (2016). A Survey of Genetic Feature Selection for Software Defect Prediction. i-manager’s Journal on Software Engineering, 10(3), 20-26. https://doi.org/10.26634/jse.10.3.4901

Abstract

Software defect prediction is an important research topic in the software engineering field, especially to solve the inefficiency and ineffectiveness of the existing industrial approach of software testing and reviews. The software defect prediction performance decreases significantly because the data set contains noisy attributes and class imbalance. Feature selection is generally used in machine learning when the learning task involves high-dimensional and noisy attribute datasets. In this survey, a Genetic Algorithm and a bagging technique is a research topic for Software Defect Prediction. The survey of publications on this topic leads to the conclusion that the field of genetic algorithms applications is growing fast. The authors overall aim is to provide an efficient feature selection for further development of the research.

Review Paper

Literature Survey on Multimedia Data Retrieval Techniques Using Data Mining

D. Saravanan*
*Associate Professor, IFHE University, IBS Hyderabad, Telangana, India.
Saravanan, D. (2016). Literature Survey on Multimedia Data Retrieval Techniques Using Data Mining. i-manager’s Journal on Software Engineering, 10(3), 27-33. https://doi.org/10.26634/jse.10.3.4902

Abstract

Data mining is a process of extracting facts from a given huge set of data. Of the available huge data set, multimedia is one which contains diverse data such as audio, video, image, text and motion, and such video data play a vital role in the field of video data mining. For extracting information from this huge content, we need special techniques. Because of numerous devices like cell phones, tablets, and other electronic devices available today, we can upload images or video data very easily. Today information comes in the form of electronic information instead of text information. Most of the information like news, entertainment, books, healthcare and weather forecasts are in the electronic form. Among this information the acquisition and storage of video data is an easy task, but retrieval of information from video data is challenging. This paper brings some of these issues and challenges involved in image extraction using data mining techniques.

Research Paper

The Current State of Scalability: What is and What Should Be

M.E. Fayad* , Shivanshu K. Singh**, Rafael Capilla***
* Department of Computer Engineering, Charles W. Davidson College of Engineering, San Jose State University, San Jose, USA.
** Software/Data Engineering and DevOps, Athos, San Francisco, California, USA.
*** Associate Professor at the University Rey Juan Carlos of Madrid (Spain), USA.
Fayad, M. E.,Singh, S. K., and Capilla, R. (2016). The Current State of Scalability: What is and What Should Be. i-manager’s Journal on Software Engineering, 10(3), 34-39. https://doi.org/10.26634/jse.10.3.4903

Abstract

Traditional approaches of architecting software are incapable of providing all the solutions for developing scalable architectures. Uncertainty or lack of knowledge about which steps or guidelines to use, in order to obtain a good modularization of the architecture, is one of the major problems that keeps us from realizing a truly scalable architecture.