الفهرس Only 14 pages are availabe for public view
 |  | from | 271 |  |  |
| | | from | 271 | | |
Abstract
It is vital to obtain data so that actions can be taken to improve any computer software performance. Such improvement can be measured in terms of higher quality, increased customer satisfaction and decreased cost of quality.
Different researchers have proposed software quality models to help measure the quality of software products. These models often include metrics for this purpose. Some of the classical and recent models are discussed and analyzed in this work showing the points of strength and weakness of each model type.
To alleviate most of the problems of the previous models, a new comprehensive software quality model – FUPRIMDSO – is proposed and analyzed. The FUPRIMDSO model is not the only contribution, but, a complete solution is discussed throughout the thesis to enable an effective and efficient use of the proposed model. The goal is to help the development team in prioritizing the important metrics while developing the software products according to some inputs from the user and the objectives of the software being developed.
The solution developed is called the Quality model Analysis Program (QAP). Basically, it is a fuzzy system that weights the proposed model attributes according to certain rules.
Our solution enables software project managers to better utilize their resources and take specific actions to better improve the quality of the software produced.