Use Case Point Method of Software Effort Estimation: A Review

Abstract

Software project management is one of the critical activities in software development process. Many software development projects fail due to poor management of projects. The main aim of software project management team is to count what is countable, measure what is measurable and prepare measurable parameters for continuously monitor and manage a software development project. One of the very important factors in proper management of a software project is software estimation. At present most of software projects developed are using object oriented technology for the development of software projects. Researchers across the globe have used object oriented technology based method known as use case point method for estimating efforts for a software project development. This research work is an effort to review different invariants of use case point method of effort estimation. The research work also highlights the importance of continuously refining the UCP method in order to reduce the gap between the estimated and actual efforts.

Estimation Effort Pengembangan Software Inventory PT. Infinity Global Mandiri Menggunakan Metode Use Case Point

“…Penelitian sebelumnya juga pernah dilakukan oleh [13] Pendekatan lain dari poin UML menyediakan perhitungan sederhana, mudah diterapkan, dan disediakan perkiraan biaya yang masuk akal pada tahap pengembangan perangkat lunak karena memanfaatkan use case dan class diagram. Penelitian ini telah dianjurkan untuk menggunakan metode use case point sebagai metode efektif untuk estimasi usaha perangkat lunak dalam tahap awal proses pengembangan perangkat lunak.…”

Identifying and Addressing Problems in the Estimation Process: a Case Study Applying Action Research

“…However, Maxwell (2001) claims that, more than simply registering productivity, data is needed to improve the estimate process, so analysis is important to understand its influences on projects and their productivity contexts. According to Kirmani and Wahid (2015), efficiency, product delivery on time, and the desired quality level are features that influence the software development process. Therefore, collecting data through the measurements taken during the project execution, usually based on qualitative and quantitative information, is crucial.…”

Software Development Effort Estimation Techniques: A Survey

“…[7] [28] Several models for estimating software effort have been proposed [1]. Initially, estimates of software effort are made using expert judgment [46], the use case point approach [49], user stories [50], function point [51], and analogy-based estimations [48]. Later, for estimation, multiple Machine learning algorithms such as Linear regression, multiple linear regression, logistic regression, ridge regression, neural networks, lasso regression, decision tree, support vector machine, stepwise regression, Navie bayes, Elasticnet regression, random forest, and so on were used [8] [35] [44].…”