Linear Prediction Model for Effort in Programming based on User Acceptance and Revised use Case Point Method
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 11
Abstract
As long as most of the processes of verification and validation of software to grant acceptance by the customer/user, are subjective type, it is aimed to design a standard mathematical model with empirical to perform an appointment with areas or stages where development teams most fail involving large-scale software projects. This model will be based on a survey that the user must fill as going testing and validating the software, and which response curve must be linear with respect to the software development process. This paper aims to discuss the aspects surrounding the estimation of mathematical model in the validation and acceptance by a user through the revised Use Case Point Method. First, an assessment of the most recent techniques of application of the method are done, and then a simulation of the process of acceptance and validation by a standard user (Beta Test) will be taken as a practical example. For purposes of this paper, revised use case point method (Re-UCP) must have a specific weight, based on the prerequisites for the development of large-scale software. Once obtained this weighting, the user shall assess the finished product and then an approximation function will be to determine the coefficients of the final model approach, and indicating that is the efficient trend of the development team
Authors and Affiliations
Fahad H. Alshammari
A Trapezoidal Cross-Section Stacked Gate FinFET with Gate Extension for Improved Gate Control
An improved trapezoidal pile gate bulk FinFET device is implemented with an extension in the gate for enhancing the performance. The novelty in the design is trapezoidal cross-section FinFET with stacked metal gate along...
Towards Network-Aware Composition of Big Data Services in the Cloud
Several Big data services have been developed on the cloud to meet increasingly complex needs of users. Most times a single Big data service may not be capable in satisfying user requests. As a result, it has become nece...
Generation of Sokoban Stages using Recurrent Neural Networks
Puzzles and board games represent several important classes of AI problems, but also represent difficult complexity classes. In this paper, we propose a deep learning based alternative to train a neural network model to...
(AMDC) Algorithm for wireless sensor networks in the marine environment
Data compression is known today as one of the most important enabling technologies that form the foundation of the majority of data applications and networks as we know them, including wireless sensor networks and the po...
A Framework for Satellite Image Enhancement Using Quantum Genetic and Weighted IHS+Wavelet Fusion Method
This paper examined the applicability of quantum genetic algorithms to solve optimization problems posed by satellite image enhancement techniques, particularly super-resolution, and fusion. We introduce a framework star...