Informatics Publishing Limited

N. Poonguzhali ¹, K. Usha ¹, E. Kavitha ²

Affiliations
1 Manakula Vinayagar Institute of Technology, Pondicherry, IN
2 V.R.S. College of Engineering & Technology, Villupuram, IN

Abstract

Software development is a mentally complicated task. Different software development methodologies and quality assurance methods are used in order to attain high quality, reliable, and bug free software. extreme Programming (XP) is a software development discipline in the family of agile methodologies that contributes towards quality improvement using dozen practices. There are few important practices in the XP are Pair Programming, Refactoring and Test Driven Development. Pair or collaborative programming is a software development technique where two programmers develop software side by side at one computer. One person types in while the other reviews each line of code making it possible to create and continuously review what is being created. Refactoring which can be defined as "a change made to the internal structure of software to make it easier to understand and cheaper to modify without changing its observable behavior". Although there has been a large amount of research investigations for these concepts, but there has been little work done in quantitative approach. The main objective of the research is to develop a software development model using all these practices. The software development model proposed in such a way that all the three activities accompanies all the phases of software development. This work also shows the evaluation of effectiveness of the proposed software development model.

Keywords

Pair Programming, Refactoring, Software Development, Extreme Programming (XP),Test Driven Development.

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E. Kavitha ¹, G. Zayaraz ²

Affiliations
1 V.R.S. College of Engineering & Technology, Arasur, Villupuram, IN
2 Pondicherry Engineering College, Pondicherry University, Pondicherry, IN

Abstract

SOA is gradually replacing monolithic architecture as the premier design principle for new business applications. Service Oriented Architecture (SOA) is an approach for building distributed systems that deliver application functionality as a set of self-contained business-aligned services. It promises lower integration costs, increased reusability and improved enterprise agility and adaptability. The architecture evaluation will improve the problem understanding and it will clearly distinguish the strength and weakness of the architecture. It also performs the cost-benefits analysis for different alternatives and injects the reviewer's expertise into the project. In order to assess system's quality against the requirements of its customers, the architects and the developers need methods and tools to support them during the evaluation process. In this research work, an attempt has been made to investigate the possibility of evaluating the Service-Oriented Architecture employing a new quantitative evaluation method exclusively.

Keywords

AHP, Constant Sum Method, Evaluation Parameters, Service Customer, Service Oriented Architecture, Service Provider and WPM.

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N. Poonguzhali ¹, K. Usha ¹, E. Kavitha ²

Affiliations
1 Manakula Vinayagar Institute of Technology, Pondicherry, IN
2 V. R. S. College of Engineering & Technology, Arasur, Villupuram, IN

Abstract

Forecasting exchange rates is an important financial problem that is receiving increasing attention especially because of its difficulty and practical application. A number of techniques have emerged in the stock prediction tasks. The past researches about share forecasting usually relied on various time series models or econometric models to improve the accuracy. But, these models are limited to its linearity. Therefore, recent studies have attempted to forecast share prices using neural network models. The work combines Genetic Programming with Neural Network. It trains Neural Network with Genetic Programming and then predicts the stock price with the trained network. By learning the stock knowledge, it could find out the modes and relationship hidden in the abstract data. Exchange rates are affected by many highly correlated economic, political and even psychological factors. We propose a flexible neural tree with necessary number of hidden units and is generated initially as a flexible multi-layer feed-forward neural network evolved and also considers the approximation of sufficiently smooth multivariable function with a multilayer perceptrons. The performance of the technique is evaluated using the stock prices.Empirical results indicate that the proposed method the flexible neural tree method is better than the forecasting methods.

Keywords

Approximation, Flexible Neural Tree, Hidden Unit, Neurons, Perceptron.

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