Date Added: Jun 2010
Software development effort prediction is one of the most significant activities in software project management. The literature shows several algorithmic cost estimation models such as Boehm's COCOMO, Albrecht's' Function Point Analysis, Putnam's SLIM, ESTIMACS etc, but each do have their own pros and cons in estimating development cost and effort. This is because project data, available in the initial stages of project is often incomplete, inconsistent, uncertain and unclear. The need for accurate effort prediction in software project management is a challenge till today. Fuzzy logic-based estimation models are more apt when vague and inaccurate information is to be used.