SDLC with ALM Development is certainly the fundamental part of application lifecycle management. Once the business case is approved, the software development lifecycle begins. If we expanded the SDLC parts of the Development line shown in the figure below, a modern process would probably show software development as a series of iterations. Each iteration would contain some requirements definition, some design, some development, and some testing. This iterative style of development isn’t always appropriate—some projects are still better done using more traditional methods—but it’s becoming the norm in many areas. Once the SDLC process for version 1 of the application is complete, the application is deployed. For most applications, however, deployment doesn’t mark the end of development. Instead, the application needs periodic updates, as shown in the figure, and perhaps one or more full SDLC efforts to create new versions, as in this example. For some applications, the...
What is MinRole? By using the new MinRole feature in SharePoint Server 2016, SharePoint farm administrators can define each server’s role in a farm topology. The role of a server is specified when you create a new farm or join a server to an existing farm. SharePoint automatically configures the services on each server based on the server's role, and the performance of the farm is optimized based on that topology. Here are six predefined server roles you can choose from in SharePoint Server 2016. Read more about the roles and their descriptions in the following table: Server role Description Front-end Service applications, services, and components that serve user requests belong on Front-end web servers. These servers are optimized for low latency. Application Service applications, services, and components that serve backend requests (such as background jobs or search crawl requests) belong on Application servers. These servers are optimized for high throug...
Regression analysis Regression Analysis a statistical tool for the investigation of relationships between variables. Usually, the investigator seeks to ascertain the causal effect of one variable upon another , the effect of a price increase upon demand, for example, or the effect of changes in the money supply upon the inflation rate. Regression Analysis with Excel In this example, Sales Qty is the predictable variable and Price and Advertising are the unpredictable variables. Using Regression Analysis we will find out the relationship between the variables. The big question is: is there a relation between Sales Qty (Output) and Price and Advertising (Input). In other words: can we predict Quantity Sold if we know Price and Advertising? Click on Data Analysis from the Data Menu from the ribbon as follows : Click on Regression as follows : Select the settings as shown below. The Input Y Range is the predicable variable and the Input X is the unpredictab...
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