Feature-based variability modelling in software evolution
Other Title(s)
نمذجة التنوع استنادا على الخصائص في تطور البرمجيات
Dissertant
Thesis advisor
University
Philadelphia University
Faculty
Faculty of Information Technology
Department
Department of Computer Science
University Country
Jordan
Degree
Master
Degree Date
2015
English Abstract
For many year, Software Product Lines (SPLs) have been used successfully for building software systems families.
One of the techniques that widely used to support the SPL’s variability modelling is Feature modelling.
These methods have been widely used to recognize and manage the commonalities and variability among products.
But like anything in this world, software systems families are rapidly changing, demanding for more dynamic capabilities.
One of the challenging problems in dynamic SPLs is in the feature modelling supported capabilities and their formalization.
In fact, feature modelling techniques support well elementary features but the composed ones are not yet supported nor formalized.
So, this thesis aims to deal with this challenge.
It extends the conventional elementary feature modelling concepts, with composed feature concepts.
According to a bio-inspired approach, a software configuration comes up by composing its features from elementary or others composed features.
Then this configuration may evolve through its life cycle by metamorphosing from a composed feature to another.
This software feature-based evolution variability modelling has led to introduction of a new methodology producing an extended feature model by new Meta features and relations.
The combination of two formalisms in the specification of this methodology is more powerful than a unique one.
The obtained result, compared to the actual approaches seems to be promising.
Main Subjects
Information Technology and Computer Science
No. of Pages
47
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Approaches to variability modelling in software evolution.
Chapter Three : A methodology for feature-based approch to variability modelling in software evolution.
Chapter Four : Implementation issues, evaluation and application areas.
References.
American Psychological Association (APA)
Ibrahim, Sumayyah Mahdi. (2015). Feature-based variability modelling in software evolution. (Master's theses Theses and Dissertations Master). Philadelphia University, Jordan
https://search.emarefa.net/detail/BIM-725413
Modern Language Association (MLA)
Ibrahim, Sumayyah Mahdi. Feature-based variability modelling in software evolution. (Master's theses Theses and Dissertations Master). Philadelphia University. (2015).
https://search.emarefa.net/detail/BIM-725413
American Medical Association (AMA)
Ibrahim, Sumayyah Mahdi. (2015). Feature-based variability modelling in software evolution. (Master's theses Theses and Dissertations Master). Philadelphia University, Jordan
https://search.emarefa.net/detail/BIM-725413
Language
English
Data Type
Arab Theses
Record ID
BIM-725413
