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journal engineering and applied computer science
Volume: 02, Issue: 03, March 2017
M. RAHMOUNI and S. MBARKI, “Validation of ATL Transformation to Generate a Reliable MVC2 Web Models,” International Journal of Engineering and Applied Computer Science, vol. 02, no. 03, pp. 83–91, Mar. 2017.

Abstract—Technologies are constantly evolving. In order to benefit from technological advances, it is necessary to adapt the applications to these technologies. This operation is expensive for companies because it is often necessary to rewrite the code entirely. Where there is no capitalization of application functions and development is generally based on source code, the separation of concerns appears to be the necessary solution to the problem. Thus, functional specifications and technical specifications are taken into account separately by MDA approach. In this paper we present a new method of transformation validation and then we implement a new model transformation process based on MDA approach to generate an MVC2 Web model from Struts 2. This transformation begins by the validation of different transformation rules by applying the developed method of transformation validation.
N. Pushpalatha, N. Subhash Chandra
N. Pushpalatha and N. Subhash Chandra, “An Extensible Web Mining Framework for Real Knowledge,” International Journal of Engineering and Applied Computer Science, vol. 02, no. 03, pp. 92–97, Mar. 2017.
Abstract—With the emergence of Web 2.0 applications that bestow rich user experience and convenience without time and geographical restrictions, web usage logs became a goldmine to researchers across the globe. User behavior analysis in different domains based on web logs has its utility for enterprises to have strategic decision making. Business growth of enterprises depends on customer-centric approaches that need to know the knowledge of customer behavior to succeed. The rationale behind this is that customers have alternatives and there is intense competition. Therefore business community needs business intelligence to have expert decisions besides focusing customer relationship management. Many researchers contributed towards this end. However, the need for a comprehensive framework that caters to the needs of businesses to ascertain real needs of web users. This paper presents a framework named eXtensible Web Usage Mining Framework (XWUMF) for discovering actionable knowledge from web log data. The framework employs a hybrid approach that exploits fuzzy clustering methods and methods for user behavior analysis. Moreover the framework is extensible as it can accommodate new algorithms for fuzzy clustering and user behavior analysis. We proposed an algorithm known as Sequential Web Usage Miner (SWUM) for efficient mining of web usage patterns from different datasets. We built a prototype application to validate our framework. Our empirical results revealed that the framework helps in discovering actionable knowledge.
Md. Mottahir Alam, Asif Irshad Khan, Aasim Zafar
M. M. Alam, A. I. Khan, and A. Zafar, “An Empirical Study of the Improved SPLD Framework using Expert Opinion Technique,” International Journal of Engineering and Applied Computer Science, vol. 02, no. 03, pp. 98–106, Mar. 2017.
Abstract—Due to the growing need for high-performance and low-cost software applications and the increasing competitiveness, the industry is under pressure to deliver products with low development cost, reduced delivery time and improved quality. To address these demands, researchers have proposed several development methodologies and frameworks. One of the latest methodologies is software product line (SPL) which utilizes the concepts like reusability and variability to deliver successful products with shorter time-to-market, least development and minimum maintenance cost with a high-quality product. This research paper is a validation of our proposed framework, Improved Software Product Line (ISPL), using Expert Opinion Technique. An extensive survey based on a set of questionnaires on various aspects and sub-processes of the ISPLD Framework was carried. Analysis of the empirical data concludes that ISPL shows significant improvements on several aspects of the contemporary SPL frameworks.
Samabia Tehsin, Sumaira Kausar
S. Tehsin and S. Kausar, “Anatomical Survey Based Feature Vector for Text Pattern Detection,” International Journal of Engineering and Applied Computer Science, vol. 02, no. 03, pp. 107–113, Mar. 2017.
Abstract—The vital objective of artificial intelligence is to discover and understand the human competences, one of which is the capability to distinguish several text objects within one or more images exhibited on any canvas including prints, videos or electronic displays. Multimedia data has increased rapidly in past years. Textual information present in multimedia contains important information about the image/video content. However it needs to technologically verify the commonly used human intelligence of detecting and differentiating the text within an image, for computers. Hence in this paper feature set based on anatomical study of human text detection system is proposed.
Kamalinder Kaur
K. Kaur, “An Illustrative Approach to Use SQL Functions: A Review,” International Journal of Engineering and Applied Computer Science, vol. 02, no. 03, pp. 114–122, Mar. 2017.
Abstract—This paper describes the function used in databases for performing the calculations, modifies the data items and does manipulations on data. It defines the functions, their syntax’s and errors occurred during the process. Functions are applied on oracle having SQL and are illustrated through query processing.

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