پیوندهای مفید
آمار
| تعداد نشریات | 21 |
| تعداد شماره‌ها | 610 |
| تعداد مقالات | 9,028 |
| تعداد مشاهده مقاله | 67,082,873 |
| تعداد دریافت فایل اصل مقاله | 7,656,353 |
An Intelligent Model to Predict the Development Time and Budget of Software Projects | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 7، دوره 11، شماره 2، اسفند 2020، صفحه 85-102 اصل مقاله (2.97 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2020.4384 | ||
| نویسنده | ||
| Amid Khatibi Bardsiri* | ||
| Department of Computer Engineering, Bardsir Branch, Islamic Azad University, Bardsir, Iran | ||
| تاریخ دریافت: 24 شهریور 1398، تاریخ بازنگری: 19 دی 1398، تاریخ پذیرش: 29 خرداد 1399 | ||
| چکیده | ||
| Today, software projects are a major part of information and business technology. Estimating the cost and delivery time of a project is one of the most important aspects of its development process. The results of this estimate are directly related to the failure or success of the whole project. Project anomalies, high diversity, intangibility, and poor standards are obstacles that have hampered various current forecasting models. In this regard, the aim of this paper is to provide an intelligent hybrid model that is able to weigh the project features properly. The main idea of the proposed model is based on mathematical methods, soft computing and using previous estimation methods. After the complete introduction of the new model, its efficiency is evaluated using Desharnais and ISBSG databases. The results indicate higher accuracy and greater flexibility of the proposed model. Improvement rate shows in the various metrics such as MdMRE, Pred(0.25) and MMRE separately, but the average improvement rate is 31%. | ||
| کلیدواژه‌ها | ||
| Intelligent model؛ Analogy based estimation؛ Differential evolution algorithm؛ Budget and time estimation | ||
|
آمار تعداد مشاهده مقاله: 44,568 تعداد دریافت فایل اصل مقاله: 1,281 |
||