Fuzzy and Mathematical Effort Estimation Models for Web Applications Development

This paper proposed an Effort Estimation Model for optimizing the deployment of Web Applications Based Fuzzy and Practical Models. This paper presented the effort estimation model that involves two levels—the first level estimates by Project Managers, and the second level estimates by Project Leaders or Developers. The model considers the classification of each task as either Low or Medium or High complexity. Efforts are estimated to design, code, and test tasks and take a new requirement as a case study, compared with the practical efforts model using historical data for the existing functionalities. The fuzzy logic model verifies the claims made in effort estimation, which proposed a new relation between data and effort value membership for actual data. It converts it into a crisp function in the range [0…1], which helps classify the task's complexity and subtask in the design, coding, and testing phases quickly, low cost, and high accuracy. The proposed effort estimation model would allow the project managers to efficiently control the project, manage the resources effectively, improve the software development process, and trade-off analyses time