Web Case Points for Early Web Size Prediction
摘要
The advent of Internet of Things (IoT) has revolutionized the way information and services are delivered via the web. The widespread popularity of web applications has seen a meteoric rise, with organizations of all sizes, both public and private, opting to make their services and operations available online. However, the development of these web-based applications has become increasingly complex, posing a challenge for organizations to manage this growing complexity within budget and timeline constraints. To address this challenge, there is a pressing need for accurate and efficient web effort estimation methods. The accuracy of such estimation has a direct and profound impact on the survival and success of development companies. This research paper proposes a novel approach to web size estimation, the Web Use Case Points (WCP) method, which takes into consideration functional and non-functional size to predict the size of a web application. The study also compares the WCP method with the widely used Function Point (FP) and Web Object (WO) methods. The results show that the size obtained through the WCP method is smaller than that obtained through the WO method, and greater than that obtained through the FP method in almost all ten web projects analyzed in this study. In conclusion, the WCP method provides a new and promising approach to web effort estimation, offering greater accuracy and efficiency for organizations looking to navigate the complex landscape of web application development.