Informatics Publishing Limited

Dhasna Rajasekaran ¹, P. Mayilvahanan ², A. Muthukumaravel ²

Affiliations
1 VELS University, Chennai–117, IN
2 Department of MCA, VELS University, Chennai–117, IN

Abstract

This paper throws light on the software testing process improvement, by recommending a standardized methodology to achieve the “quality” with minimal cost and period that every organization desire to achieve.

Keywords

Checklists, Metrics, Testing Process Model, TMMi.

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G. Subhapriya ¹, A. Muthukumaravel ²

Affiliations
1 VELS University, Chennai, IN
2 Department of MCA, School of Computing Sciences, VELS University, Chennai – 600 117, IN

Abstract

There are innumerous functional requirements for software today that selecting an optimal testing strategy is imperative, especially for small and medium software entrepreneurs, in order to produce high quality software. This research work aims at determination of an optimal testing strategy for a software product and recommend the same for the selected software product.

We identified three important criteria- effectiveness, efficiency & total cost of ownership. In a closed system, all others being equal, the above criteria determine which strategy is optimal. The determination methodology that will use the criteria mentioned above, was also created. Two strategies that are frequently used in the software industry were chosen for this purpose: The traditional testing strategy used in the waterfall model of software development and agile development testing strategy , which is widely being used now. The test subject chosen is the Apartment administration module of the Apartment Management System (herein after called as AMS in the document), a java based software product.

With the test subject, competing strategies and the method of determination in place, our research isolated the Apartment administration module of AMS, baselined the code and applied the two testing strategies in parallel to each baseline.

From the results obtained from both models, we found that the efficiencies of both the strategies seem to be the same. However, Agile model scored better in effectiveness (there was less rework) and total cost of ownership (better gain for the cost incurred).

Keywords

Agile, Effectiveness, Efficiency, Optimal Testing Strategies, Total Cost of Ownership, Waterfall.

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C. Metilda Asha ¹, S. Prasanna ², A. Muthukumaravel ³

Affiliations
1 Vels University, Chennai-117, IN
2 Department of MCA, Vels University, Chennai-117, IN
3 Department of MCA, Bharath University, Chennai-117, IN

Abstract

The purpose of image fusion is to merge information from multi-sensor and to improve abilities of information analysis and feature extraction. In this paper, a new image fusion algorithm based on multiwavelet transform to fuse multimedical images is presented. The detailed discussions are focused on the two-wavelet and two-scaling function multiwavelets. In the fusion algorithm, a feature-based fusion rule is used to combine original sub images and to form a pyramid for the fused image. It can merge information from original images adequately and improve abilities of information analysis and feature extraction. Experiment of fusing medical CT\MRI images is presented in this paper. Comparing with other image fusion methods, satisfactory result has been obtained by applying this method on both objective and subjective performance measure.

Keywords

Image Fusion, Medical Images, Multiwavelet Transform, Feature Selection, Mutual Information.

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A. Muthukumaravel ¹, S. Purushothaman ², R. Rajeswari ³

Affiliations
1 VELS University, Chennai-600117, IN
2 Udaya School of Engineering, Kanyakumari-629204, IN
3 Mother Teresa Women's University, 624101, IN

Abstract

Concurrency control is the action of synchronizing operations issued by concurrently executing programs on a shared database. Concurrency control (CC) is the key concept for proper transactions on objects to avoid any loss of data or to ensure proper updating of data in the database. This paper presents the development of Fuzzy Logic for concurrency management while modeling Bolted connection drawing using Autodesk inventor 2008. While implementing concurrency control, this work ensures that adjacent shapes in the drawing cannot be accessed by more than one person. The Fuzzy Logic learns the objects and the nature of transactions to be done based a threshold value. Learning stops once all the objects are exposed to Fuzzy Logic. We have attempted to use Fuzzy Logic for storing lock information when multi users are working on same Bolted connection drawing.

Keywords

Concurrency Control, Fuzzy Logic, Bolted Connection, Transaction Locks, Computer Aided Design Database.

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N. Sathya ¹, A. Muthukumaravel ²

Affiliations
1 Bharathiar University, Coimbatore - 41001, Tamil Nadu, IN
2 Department of MCA, Bharath University, Chennai - 600001, Tamil Nadu, IN

Abstract

The Traveling Salesman Problem (TSP) is arguably the most prominent problem in combinatorial optimization. The simple way in which the problem is defined in combination with its notorious difficulty has stimulated many efforts to find an efficient solution procedure. The TSP is a classic tour problem in which a hypothetical salesman must find the most efficient sequence of destinations in his territory, stopping only once at each, and ending up at the initial starting location. Due to the combinatorial complexity of the TSP, approximate or heuristic solution procedures are almost always employed in practice. Few prospective applications of TSP includes ruling an optimized scan chains route in integrated chip testing, parcels collection and sending in logistics companies, and transportation routing problem. There have been many algorithms introduced to grant time competent solutions for the problem, both exact and approximate. This paper is a review of the recent research work done on various algorithm like genetic algorithm ,tabu search algorithm ,ant colony algorithm available with respective attributes to find the nearest optimal solution for the traveling salesman problem. It also relates the traveling salesman problem with the available algorithms and provides the advantages in providing a solution for TSP.

Keywords

Ant Colony Algorithm, Combinatorial Optimization , Meta Heuristics, Minimum Cost GA, Tabu Search

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