please send me the ppt of the above mentioned topic ....etc

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USING THE CONCEPTUAL COHESION OF CLASSES FOR FAULT PREDICTION IN OBJECT ORIENTED SYSTEMS

Abstract: High cohesion is desirable property in software systems to achieve reusability and maintainability. In this project we are measures for cohesion in Object-Oriented (OO) software reflect particular interpretations of cohesion and capture different aspects of it. In existing approaches the cohesion is calculate from the structural information for example method attributes and references. In conceptual cohesion of classes, i.e. in our project we a ....etc

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Please post me the project documentation ....etc

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Classes and Methods
Access Modifier
Public
Private
Protected
Internal
Public
The public keyword is an access modifier for types and type members.
Public access is the most permissive access level.
There are no restrictions on accessing public members.
Protected
The protected keyword is a member access modifier.
A protected member is accessible from within the class in which it is declared, and from within any class derived from the class that declared this member.
Internal
The internal ke ....etc

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USING THE CONCEPTUAL COHESION OF CLASSES FOR FAULT PREDICTION IN OBJECT ORIENTED SYSTEMS-SOFTWARE ENGINEERING

Abstract: High cohesion is desirable property in software systems to achieve reusability and maintainability. In this project we are measures for cohesion in Object-Oriented (OO) software reflect particular interpretations of cohesion and capture different aspects of it. In existing approaches the cohesion is calculate from the structural information for example method attributes and references. In conceptual cohesion of classes, i. ....etc

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sir i want online examination result according to the classes project in .net ....etc

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Discriminative Learing and Recognition of Image set classes Using Canonical Correlation

Abstract:

Canonical angles or principle angle between the two dimensional sub-space.

Canonical angle is compared with the two main classical methods: parametric distribution based and non parametric sample based.

The classical linear discriminate analysis which we have to develop is to be maximizing the correlation with-in the class set and it has to minimize between the class-set.

Image set after transforming the discrimi ....etc

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EXECUTIVE SUMMARY
Risk comes from not knowing what you’re doing - Warren Buffet
In today’s world, customer centric policies are the need of the hour in every kind of business in order to maximize the revenues and also satisfy the customers. This is especially very important in the banking sector where the entire business revolves around enabling the customers to explore and seize rich opportunities that the world has to offer. On the other hand saving and investment form a very important part of any individual� ....etc

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Abstract”A probabilistic formulation for semantic image annotation and retrieval is proposed. Annotation and retrieval are posed as
classification problems where each class is defined as the group of database images labeled with a common semantic label. It is
shown that, by establishing this one-to-one correspondence between semantic labels and semantic classes, a minimum probability of
error annotation and retrieval are feasible with algorithms that are 1) conceptually simple, 2) computationally efficient, and 3) do not
require prior ....etc

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C# classes - CS 638 Web Programming



C# namespaces

....etc

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