Self-adaptive software to unpredicted relevant events

العناوين الأخرى

التكيف التلقائي للبرمجيات مع الأحداث الخاصة الغير المتوقعة

مقدم أطروحة جامعية

al-Far, Shadha Muhammad

مشرف أطروحة جامعية

Ghul, Said

الجامعة

جامعة فيلادلفيا

الكلية

كلية تكنولوجيا المعلومات

القسم الأكاديمي

قسم علم الحاسوب

دولة الجامعة

الأردن

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2017

الملخص الإنجليزي

Self-Adaptation software has been used in software development and in lots of organizations to correspond with changing requirements and environments which has been used successfully to deal with planned and predicted problems.

Lots of selfadaptation works rely on bio-inspired approaches dealing with external behaviours but they never dealt with the internal ones.

The idea of modeling both external and internal behaviours along with the integration of predicted and unpredicted events handling is a real actual challenge.

Inspired by the natural genetics, this thesis proposes a solution to the above challenge.

It consists of a self-adaptive software framework integrating both external and internal software behaviours along with predicted and unpredicted events handling.

It models the changeability of the software during the evolutionary lifecycle from a state to another state against planned events (scheduled occurrence: like evolution event) as well as unplanned event (occurring randomly: like faults).

The obtained result, compared to the actual approaches, are valuable

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

عدد الصفحات

43

قائمة المحتويات

Table of contents.

Abstract.

Abstract in Arabic.

Chapter One : Introduction.

Chapter Two : Approaches to software feature model based reverse engineering.

Chapter Three : A methodology for software feature based reverse engineering.

Chapter Four : Conclusion and perspictives.

References.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

al-Far, Shadha Muhammad. (2017). Self-adaptive software to unpredicted relevant events. (Master's theses Theses and Dissertations Master). Philadelphia University, Jordan
https://search.emarefa.net/detail/BIM-956232

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

al-Far, Shadha Muhammad. Self-adaptive software to unpredicted relevant events. (Master's theses Theses and Dissertations Master). Philadelphia University. (2017).
https://search.emarefa.net/detail/BIM-956232

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

al-Far, Shadha Muhammad. (2017). Self-adaptive software to unpredicted relevant events. (Master's theses Theses and Dissertations Master). Philadelphia University, Jordan
https://search.emarefa.net/detail/BIM-956232

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-956232