The analysis of information from large-scale software development projects has been of considerable use in the formation of theories and models for project management. Of particular relevance is the landmark work of Barry Boehm /1/; extensive use was made of case study data in the development and validation of the COCOMO model for estimation. Other studies worthy of mention include Glass /2/ an...

Algorithmic effort prediction models are limited by their inability to cope with uncertainties and imprecision present in software projects early in the development life cycle. In this paper, we present an adaptive fuzzy logic framework for software effort prediction. The training and adaptation algorithms implemented in the framework tolerates imprecision, explains prediction rationale through...