Software project management
Fuzzy logic: intelligence, control, and information
Fuzzy logic: intelligence, control, and information
ACM SIGSOFT Software Engineering Notes
Architecture-Centric Software Project Management: A Practical Guide
Architecture-Centric Software Project Management: A Practical Guide
Improved decision-making for software managers using Bayesian networks
SEA '07 Proceedings of the 11th IASTED International Conference on Software Engineering and Applications
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Software projects are failing because of the poor project planning and due to this estimation have gained interest in recent times. Estimation process reduces the risk around schedule and cost. Effective software project estimation is one of the most challenging activities in software development that software industries are facing. Proper project planning and control is not possible without a reliable estimate. Top down and bottom up are traditionally the most commonly used techniques to estimate the effort of the software project. Studies suggest that the software companies should use Bottom up approach unless they have a vast experience from the similar projects. The goal of this research work is to extend the existing bottom up approach to achieve greater precision in the estimates. This work proposes the use and concepts of fuzzy set theory to extend the Bottom up approach to Fuzzy bottom up approach. With the productivity rate generated by fuzzy bottom up, derived values such as effort of development can be more precisely determined.