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Use case analysis has been widely adopted in modern software engineering due to its strength in capturing the functional requirements of a system. It is often done with a UML use case model that formalizes the interactions between actors and a system in the requirements elicitation iteration, and with architectural alternatives explored and user interface details specified in the following analysis...
Software cost estimates become more accurate as more information becomes available, but are needed early for business case analyses, bids, and resource management. Use Case Points satisfy the ability to make software size estimates early in the lifecycle because they only require understanding how an actor will use the system. Though Use Case Points are easy to calculate, they might over-simplify...
This paper considers problems of elicitation, documentation and validation of user requirements, and implicates the need for method that enables the stakeholders to resolve problems of incomplete, incorrect and contradictory requirements in the earliest possible phase of project. Review of research literature shows that the existing methods are primarily intended for requirement engineering and software...
This paper investigates the applicability of Use Case Point estimation model to global software project development. Nowadays, there is growing trend among leading software companies to outsource their project geographically, in countries with lower labor rate. This new trend increases competitiveness in the software market, which in turn shortens the development lifecycle time. This leads to several...
In this paper, we propose a novel Artificial Neural Network (ANN) to predict software effort from use case diagrams based on the Use Case Point (UCP) model. The inputs of this model are software size, productivity and complexity, while the output is the predicted software effort. A multiple linear regression model with three independent variables (same inputs of the ANN) and one dependent variable...
Software effort prediction is an important task in the software development life cycle. Many models including regression models, machine learning models, algorithmic models, expert judgment and estimation by analogy have been widely used to estimate software effort and cost. In this work, a Tree boost (Stochastic Gradient Boosting) model is put forward to predict software effort based on the Use Case...
Software cost estimation is a crucial element in project management. Failing to use a proper cost estimation method might lead to project failures. According to the Standish Chaos Report, 65% of software projects are delivered over budget or after the delivery deadline. Conducting software cost estimation in the early stages of the software life cycle is important and this would be helpful to project...
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