نظام ذكائي لحساب الوثوقية
Intelligent System for Computing Reliability
- الباحث
- فرح مازن محمد صابر الرمضاني
- المشرف
- نجلاء أكرم الساعاتي
- الجامعة
- جامعة الموصل
- الكلية / القسم
- كلية علوم الحاسوب والرياضيات / البرمجيات
- الشهادة
- دبلوم عالي
- السنة
- —
- لغة الرسالة
- عربي
- الكلمات المفتاحية
- وثوقية البرمجيات ; النظام الذكي ; جودة البرمجيات ; المقاييس
Abstract
Reliability is focused on the development and maintenance of software systems whose reliability can be assessed in a quantitative manner. With the intention of estimating and predicting the reliability of software systems, it is necessary to identify the most important software reliability metrics, the mechanism of their use and when to use them, as they help the development team make better decisions. Furthermore, “Software Reliability Growth Models” SRGMs are needed to track failures to analyze and estimate software reliability. Even though the reliability for software has been an active research topic for a long time, challenging ideas and enquiries are still present. Here, a reliability system was built to review and apply the most basic standards and standards related to reliability, including types of product standards, project management standards, and process standards. It also includes a section for estimating the parameters of reliability growth models based on failure data using the (BAT Algorithm). The Results was compared with other algorithm called (Particle Swarm Optimization-PSO) , The result shows that the (BAT Algorithm) was better when it comes to predicting future reliability. Reliability based on the parameters estimated by the bat algorithm. Matlab language was used for programming the system with multiple user- friendly interfaces that ensure clarity of the mechanism for entering values and reviewing the outputs, while providing an explanation for each metric.
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