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\title{Analyzing \& Identifying Saas for Development of a Project by Calculating its Reputation}
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             \author[1]{Dr. Bora Rama  Rao}

             \author[2]{satya p kumar  somayajula}

             \affil[1]{  Dr lankapalli Bullayya college of Engineering}

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\date{\small \em Received: 11 April 2012 Accepted: 30 April 2012 Published: 15 May 2012}

\maketitle


\begin{abstract}
        


Assessing the quality of external software before integrating it in to the project development is very challenging now days. As IT industry is moving towards newly evolving tool named SaaS(Software as a Service) , the risk of integrating the external software to the project development has been increased. Presently integration of external software is going on, but they use the trad itional way of collecting the feedbacks to identify whether to use that external software into the project or not, which may produce an unfair results at the end of project deployment. So in this perspective we are going to propose an automated framework to rate and select a service by identifying quality and reputation .And we mainly focused on addressing the risk in proposing external software by using quality and reputation of it.

\end{abstract}


\keywords{Software as a Service, Quality, Project development, Automation, risks.}

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\let\tabcellsep& 	 	 		 
\section[{I. INTRODUCTION}]{I. INTRODUCTION}\par
oftware Engineering can be stated in Industrial terms as the application of a quantifiable, systematic, disciplined approach to the development, process, and maintenance of software. As software industry has huge competition it has shaped a strong motivation for developing solutions to support more responsive and more competitive businesses. Even with long-standing success of COTS (commercial off-the-shelf) software as a time-effective alternative to custom "in-house" developed solutions is still being compromised by the implicated cost of ownership, installation and maintenance time, and effort. That"s the reason why software industry has started moving toward a new kind of software delivery model called SaaS(Software as a Service) and which made the things easy to install, maintenance-free, and money-spinning. In Software as a Service (SaaS) software delivery model the software is delivered on-demand and priced on-use, which made it to be widespread implementation of fast Internet access, combined with the widespread acceptance of SOA based solutions.\par
Author ? : Associate. Professor, Engineering Physics Dept, In the world of Software development using service delivery by SaaS model the quality of the software and software provider"s credibility is tough and risky. So, the addition of external software in project development is challenging. In this paper risk management has been addressed in situation of project development using external software overhaul components. Reputation must be computed on the basis of fair and objective feedbacks. Most of the works that addressed until now are on evaluating the fairness of existing Feedbacks. Work in this paper focuses instead on the process of generating objective and fair feedbacks. Feedback can be individual since it is based on consumers" "personal" expectations and opinions. Consumers may have an obstructed view of a service reputation systems are prone to attacks by malicious consumers who may give false ratings and subvert service reputation. Consumers may have little incentive to leave a feedback. In this perspective a framework an automated eminence and Reputation based scaffold for service rating and selection has been proposed as in Fig. \hyperref[fig_1]{2}. The challenges of this paper are: a) In order for a reputation mechanism to be fair and objective, it is essential to compute reputation on the basis of fair and objective feedbacks. b) The simulation results have demonstrated that the devised system has successfully met our primary objectives and can be an important component in a risk management strategy for software development with SaaS. c) A computational model is provided to objectively evaluate the delivered service based on the actual measurement of the conformance of the execution quality to the contracted SLA. A novel algorithm is also devised to automate the rating process based on the expectancy-disconfirmation theory from market science.\par
II. 
\section[{RELATED WORK}]{RELATED WORK}\par
What is the main correlation stuck between "reputation" and "trust"? The major difference between reputation and trust can be illustrated by the following statements: (a) "Because of your good reputation I trust you" (b) "I trust you despite your bad reputation." Here the reputation is a collective measure of trustworthiness and is measured based on the referrals or ratings from other members in a community. According to A .josang and R. is mail, reputation is believed about a person"s or thing"s character or standing. Hence, trust for an individual is measured from the personal reputation and combination of received referrals, as in the Fig \hyperref[fig_2]{3}.\par
In a centralized reputation management system, the synthetic rating of QoS of web services is aggregated by each rating in the community. To avoid the inapt evaluation by dishonest consumers, it need identify the reputable and disreputable members with their historical comments. Our idea is that consumer reputation is decided by the historical quality of comment, that is, more positive comments gain higher reputation, versa. In other words, lower reputations will worse his/her performance rating on QoS evaluation of web services. When consumers jointing the voting activity can raise their reputation by positive comments and avoid the negative comments. In this work, we proposed a centralized reputation measure for quantifying consumer reputation to properly select the service alternatives, as illustrated in Fig \hyperref[fig_3]{4}.  
\section[{III. ARCHITECTURE OF THE PROPOSED}]{III. ARCHITECTURE OF THE PROPOSED}\par
For selection of the service many previous works have measured the reputation and quality of the software, but the measurement has been done using some manual tools but none have considered the service rating process in the form of automation. WE introduce a framework for selecting and rating software to provide software service. The important point of the framework which is proposed is to automate both the While determining a service"s suitability to a particular user"s preferences in terms of quality and cost the service selection algorithm acts as a user-centric and reputation-aware service recommender. In order for a reputation mechanism to be fair and objective, it is essential to compute reputation on the basis of fair and objective feedbacks. Our work focuses instead on the process of generating objective and fair feedbacks, while most of the works that addressed this latter issue are on evaluating the fairness of existing feedbacks.\par
Here concentrated the calculation of the reputation on works in the area of Service Level Agreement (SLA) monitoring where a computational model is provided to neutrally assess the delivered service based on the actual measurement of the execution quality to the contracted SLA.\par
In this paper we proposed a framework which has four major modules like Consumer, SLA (Service Level Agreement), Service Providers and Reputational System. Consumer can start the selection based on the trustworthiness features. Consumer selection information will be stored inside database like reputation table. SLA maintains some of the requirements about that particular service. These requirements can be coinside with SLA requirements and for those services only the service certificate will be approved and that Certificate can be used as Trustworthiness certificate. The services which are provided by SLA can also be present in the service providers itself. User can be satisfied with certified services or trustworthy services. All the user behaviors features can be located inside the trustworthy services. To start the selection at the consumer side we should place the all the features inside that particular service. Reputation can be defined based on the frequent item selection procedure to define the utility measurement identification. Based on utility measure the feedback about that particular service will be defined. The proposed reputational framework is as shown in fig 4  {\ref .} And the functional requirements of the proposed frame work will be as Enter Consumer Details, Update Consumer Required Services, and Enter Service Provider Details, Service updated to SLA, Retrieve Services, Select Service, Utility Measure of Service, Rating Function, Retrieve Feedback, Consumer Preference Updated, Select service and Calculate Score. An empirical study of the risk factors related to the development using external software (COTS-like) components along with associated risk reduction activities has been reported in. It showed that risk reduction at software selection time is negatively correlated with occurrences of most project development-related risks. In fact, selection must be driven by quality constraints, with selection time evaluation of component quality and choice of appropriate service providers all essential to successful integration. However, in practice, the evaluation of service quality cannot be performed until the service is acquired. Consequently, quality evaluation is typically limited to the evaluation of quality offers by comparing the quality level that providers promise to the quality requirements. Compliance cannot be guaranteed at selection time, so it is essential to choose a provider that is trusted to respect its commitments 
\section[{IV. DESIGN \& IMPLEMENTATION OF THE SYSTEM a) Designing of the Framework}]{IV. DESIGN \& IMPLEMENTATION OF THE SYSTEM a) Designing of the Framework}\par
In the situation of software, design is problem solving process whose objective is to find and describe a way to find and depict the way to implement the functional requirements while respecting the constraints imposed by the non functional requirements and by adhere to general philosophy of good quality. The goal of the design process is to produce a model or representation of a system which can be used later to build that system and use this model to build the overall system.\par
Design is concerned with identifying software components specifying relationships among components. Specifying software structure and providing navy print for the document phase. Modularity is one of the advantageous properties of large systems. It implies that the system is divided into several parts. In such a manner, the interaction between parts is minimal clearly specified. Design will explain software components in detail. This will help the implementation of the system. Moreover, this will guide the further changes in the system to satisfy the future requirements.\par
Class Diagram contains the following elements: ? A class which represents entities with common characteristics or features attributes operations and associations. ? Association, which represent relationship between two or more classes where relationships have common characteristics or features like attributes and operations as in Fig. \hyperref[fig_5]{6}. Sequence Diagrams represents the interactions between classes to achieve a result such as a use case. The sequence diagram lists objects horizontally and time vertically, and models these messages in excess of time. In this paper the designing of the sequence has been done on both service provider and the consumer and they were described as in the Fig.  {\ref 7} and Fig .8  
\section[{RESULTS}]{RESULTS}\par
Obtained results of the system are displayed as screen shots in the following section.   
\section[{CONCLUSION}]{CONCLUSION}\par
In this paper we addressed the risk to incorporate third party software for project development. As we identified the integration of it is very risky we proposed an outstanding automated framework to rate and select a service by identifying quality and reputation.\par
We highlighted the framework by adding enhanced features like consumer, SLA, Service Provider and Reputation System which made as added additional advantage in rating and selecting the software to be used for integration. The proposed framework have accomplished in confining the service behaviors and translating them into probable customers choice.\begin{figure}[htbp]
\noindent\textbf{1}\includegraphics[]{image-2.png}
\caption{\label{fig_0}Fig 1 :}\end{figure}
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\noindent\textbf{2}\includegraphics[]{image-3.png}
\caption{\label{fig_1}Fig. 2 :}\end{figure}
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\noindent\textbf{3}\includegraphics[]{image-4.png}
\caption{\label{fig_2}Fig 3 :}\end{figure}
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\noindent\textbf{4}\includegraphics[]{image-5.png}
\caption{\label{fig_3}Fig 4 :}\end{figure}
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\noindent\textbf{}\includegraphics[]{image-6.png}
\caption{\label{fig_4}Global}\end{figure}
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\noindent\textbf{6}\includegraphics[]{image-7.png}
\caption{\label{fig_5}Fig 6 :}\end{figure}
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\noindent\textbf{789}\includegraphics[]{image-8.png}
\caption{\label{fig_6}Fig 7 :Fig 8 :Fig. 9 :}\end{figure}
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\noindent\textbf{10}\includegraphics[]{image-9.png}
\caption{\label{fig_7}Fig. 10 :}\end{figure}
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\noindent\textbf{1113}\includegraphics[]{image-10.png}
\caption{\label{fig_8}Fig. 11 :Fig. 13 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{}\includegraphics[]{image-11.png}
\caption{\label{figure11}}\end{figure}
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\noindent\textbf{}\includegraphics[]{image-12.png}
\caption{\label{figure12}}\end{figure}
  			\footnote{© 2012 Global Journals Inc. (US)} 			\footnote{© 2012 Global Journals Inc. (US)} 			\footnote{Analyzing \& Identifying Saas for Development of a Project by Calculating Its Reputation} 		 		\backmatter  			  				\begin{bibitemlist}{1}
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\end{document}
