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Release is the process of deployment to the production environment. The reporting system data and the calculated measures should provide a comprehensive view of the system under development and facilitate release-readiness decisions. Release readiness should be determined by tracking and assessing these multiple indicators over an extended period, evaluating their correlation, and obtaining a thorough understanding of the application s functionality and quality status. (See Figure 9.18.) In addition to the previously discussed metrics, one of the most important measures in determining release readiness is the product status con dence factor (CF). The con dence factor is a derived measure calculated as an aggregate of the individual metrics. A sample list of such metrics contributing to the value of the con dence factor is shown in Figure 9.19. Each of the indicators pi is scaled from 0 to 100 and assigned a weight, wi, which represents the indicator s signi cance. Using this notation, and assuming that there are n indicators, the con dence factor (CF) is expressed in percentile form by the following formula: CF = wi pi ,

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NET PDF Reader & PDF Editor - tightly integrates PDF technology into your ASP . NET Web Forms and ... RAD PDF - PDF Editor for ASP . NET . The ASP . NET AJAX PDF Viewer & PDF Editor . HTML Based PDF ... NET Control . Ready out of the ...

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Create, read, edit, convert PDF files in .NET applications [C#, VB.NET]
Essential PDF is a .NET PDF library to create, read, edit, & convert PDF files in Windows Forms, WPF, UWP, ASP.NET Core, ASP.NET MVC, Xamarin applications.

ga:adContent The rst line of the text for your online ad campaign. If you are using mad libs for your AdWords content, this eld displays the keywords you provided for the mad libs keyword match. ga:adGroup The ad groups that you have identi ed for your campaign keywords. ga:adSlot The position of the advertisement as it appears on the host page. For example, the online advertising position might be side or top. ga:adSlotPosition The order of the online advertisement as it appears along with other ads in the position on the page. For example, the ad might appear on the right side of the page and be the third ad from the top. ga:campaign The names of the online ad campaign you use for your Web site. ga:keyword The keywords used by visitors to reach your Web site, via both paid ads and through search engine results. ga:medium The type of referral to your Web site. For example, when referring sources to your Web site are search engines, there are a number of possible mediums that can be used from a search engine referral: from a search result (organic) and from an online ad on the search results page (cpc, ppc, cpa, cpm, cpv, and cpp). ga:referralPath The path of the referring URL. If someone places a link to your Web site on his or her Web site, this element contains the path of the page that contains the referring link. ga:source The domain (such as google.com) of the source referring the visitor to your Web site. The value for this dimension sometimes contains a port address as well.

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Perhaps you needed to earn a living or wanted to gain valuable work experience at the same time as studying. Finish your answer by talking about the positive aspects of working at the same time as studying. Having a mortgage, it was simply never an option to take three years out to study full time. But I m glad that I continued to work at the same time because it helped me to focus on why I chose this degree, which was in order to help me in my chosen career.

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Building an API-based application must begin with identifying the questions you want answered and problems you want solved by the application, not just the tactical set of data you want retrieved. Will you need to repeat the query What are date-related requirements do you need daily, weekly, monthly, quarterly, or yearly data Will needs for analysis change over time What kind of exibility for changing analysis needs should the application support The second step in building an API application begins with outlining the procedures needed to convert raw data into business intelligence. The data that comes from the API will be straightforward data. How will that data be handled, processed, analyzed, merged, or otherwise dealt with to produce the needed insights Third, we recommend using the Data Explorer tool to generate and test queries and expose the required raw data for your application. Using the Data Explorer early in the application development process will provide you with a rich understanding of how data from the API will look once exported. Another great resource to consider is the Java example library, which includes code to export query data to Google Docs spreadsheets, providing a means to simplify the prototyping of business logic and analysis processes for your application.