Showing posts from August 18, 2013

Top-Down and Bottom Up Processes

The process of starting with world objects and modeling using entity-relationship diagrams is referred to as a top-down process. Starting with one large table and functional dependencies using normalization is referred to as bottom-up development. What are the advantages and disadvantages of each method? Are there any inherit dangers with either method? Which would you prefer to use? Is it really an either-or situation? Top-Down and Bottom Up Processes Top Down Top-Down is deductive reasoning. It can be used in conjunctions with analysis and decomposition. Breaking down a system to gain insight into different elements is the top-down approach. First a total system is developed, and then subsystems are detailed. There may be many different levels until everything is reduced to a whole. To put it in simple terms, top-down approaches start with the big picture. This concept is broken down into smaller segments for ease of understanding and learning. In business top down can be ill

Developing Accurate Cost Estimates

What is the Biggest Problem in Developing Accurate Cost Estimations? Why? Cost Estimation Methods   Developing the estimated cost of a project, can be the variance between completing projects on time and being able to complete the project on budget. Techniques for cost estimations are very important and particularly if you are the project manager. Estimating what processes cost and how they work to provide a finished product should be a part of the project proposal. Study the techniques that that you feel will give you the most accurate estimation method. Types of Cost Estimation Methods Analogous estimating is learning from precedents.  Read though past projects and determine how the cost estimating was based. Analogous estimating can provide a continuous basis for developing estimates based on past learning. Project parameters that can be estimated include costs, budget, scope, and duration. Use analogous estimation to determine the complexity plus the size of the entire pr