ارسل ملاحظاتك

ارسل ملاحظاتك لنا







A High Abstraction Level Approach For Detecting Feature Interactions Between Telecommunication Services

المصدر: مجلة جامعة الملك سعود - علوم الحاسب والمعلومات
الناشر: جامعة الملك سعود
المؤلف الرئيسي: Chentouf, Zohair (Author)
مؤلفين آخرين: Khoumsi, Ahmed (Co-Author)
المجلد/العدد: مج25, ع1
محكمة: نعم
الدولة: السعودية
التاريخ الميلادي: 2013
الصفحات: 99 - 115
DOI: 10.33948/0584-025-001-010
ISSN: 1319-1578
رقم MD: 972887
نوع المحتوى: بحوث ومقالات
اللغة: الإنجليزية
قواعد المعلومات: science
مواضيع:
كلمات المؤلف المفتاحية:
Telecommunication Services | Feature Interaction Detection | Service Modeling | Service Management
رابط المحتوى:
صورة الغلاف QR قانون
حفظ في:
LEADER 02615nam a22002417a 4500
001 1715814
024 |3 10.33948/0584-025-001-010 
041 |a eng 
044 |b السعودية 
100 |9 524474  |a Chentouf, Zohair  |e Author 
245 |a A High Abstraction Level Approach For Detecting Feature Interactions Between Telecommunication Services 
260 |b جامعة الملك سعود  |c 2013 
300 |a 99 - 115 
336 |a بحوث ومقالات  |b Article 
520 |b When several telecommunication services are running at the same time, undesirable behaviors may arise, which are commonly called feature interactions. Several methods have been developed for detecting and resolving feature interactions. However, most of these methods are based on detailed models of services, which make them suffer from state space explosion. Moreover, different telecommunication operators cannot cooperate to manage feature interactions by exchanging detailed service models because this violates the confidentiality principle. Our work is a part of the few attempts to develop feature interaction detection methods targeting to avoid or reduce significantly state space explosion. In order to reach this objective, we first develop a so called Cause–Restrict language to model subscribers of telecommunication services at a very high abstraction level. A Cause–Restrict model of a subscriber provides information such as: what is the cause of what, and what restricts (or forbids) what, and specifies coarsely the frequency of each operation ‘‘cause’’ or ‘‘restrict’’ by ‘‘always’’ or ‘‘sometimes’’. Then, we develop a method that detects feature interactions between telecommunication services modeled in the Cause–Restrict language. We demonstrate the applicability of our approach by modeling several services and detecting several feature interactions between them. New feature interactions have been detected by our approach. 
653 |a علوم الحاسوب  |a تكنولوجيا الاتصالات  |a خدمات الاتصالات 
692 |b Telecommunication Services  |b Feature Interaction Detection  |b Service Modeling  |b Service Management 
700 |9 524475  |a Khoumsi, Ahmed  |e Co-Author 
773 |c 010  |e Journal of King Saud University (Computer and Information Sciences)  |f Maǧalaẗ ǧamʼaẗ al-malīk Saud : ùlm al-ḥasib wa al-maʼlumat  |l 001  |m مج25, ع1  |o 0584  |s مجلة جامعة الملك سعود - علوم الحاسب والمعلومات  |v 025  |x 1319-1578 
856 |u 0584-025-001-010.pdf 
930 |d y  |p y 
995 |a science 
999 |c 972887  |d 972887 

عناصر مشابهة