JSE_V1_N1_A3 Kumar Saurabh Haragopala P.V. Pamula Journal on Software Engineering 2230 – 7168 1 1 19 24 Algorithmic Cost Model, algorithmic cost estimation model, costing formula Algorithmic cost modelling uses a mathematical formula to predict project costs based on estimates of the project size, the number of software engineers, and other process and product factors. An algorithmic cost model can be built by analysing the costs and attributes of completed projects and finding the closest fit formula to actual experience. This paper reflects the use of an algorithmic cost estimation model. We should develop a range of estimates (worst, expected and best) rather than a single estimate and apply the costing formula to all of them. Estimates are most likely to be accurate when we understand the type of software that is being developed, when we have calibrated the costing model using local data, and when programming language and hardware choices are predefined. July - September 2006 Copyright © 2006 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=765