Inconsistency management in software functional requiremnts : a machine learning system
Dissertant
Thesis advisor
Comitee Members
al-Umari, Mahmud Ahmad
Kanan, Ghassan Jaddu
al-Shalabi, Riyad
University
Arab Academy for Financial and Banking Sciences
Faculty
The Faculty of Information Systems and Technology
Department
Computer information systems
University Country
Jordan
Degree
Ph.D.
Degree Date
2008
English Abstract
Indeed researchers now are emphasizing that tolerance of inconsistency is very useful and any developing of a large and complex software system involves management of inconsistencies which may arise in different stages of development.
However, there is no principled basis or general mechanism exists for detecting, diagnosing, handling and measuring the impacts and risks of inconsistencies in different development stages or during the whole development process.
In this thesis I am proposing a general integrated model which uses machine learning system for managing inconsistency in software functional requirements.
Machine learning system will provide our model for inconsistency management with greater solution accuracy, greater coverage of problems, reducing the time of accomplishing the work and making it more intelligent by using previous experiences, discovering new patterns to perform pattern analysis and transferring it to rules which will help us in managing inconsistencies more efficiently and effectively.
This proposed model provides a systematic approach for managing inconsistency from early stages till the end of development process.
All the information’s related to inconsistencies during development process are recorded in Meta Data for further using this data in analysis, reasoning, learning and even for further data mining studies.
Main Subjects
Information Technology and Computer Science
Topics
No. of Pages
177
Table of Contents
Table of contents.
Abstract.
Chapter One : Introduction.
Chapter Two : Machine learning in artificial intelligence.
Chapter Three : Inconsistencies in software engineering.
Chapter Four : Inconsistency management for software functional requirements : machine learning approach.
Chapter Five : case study.
Chapter Six : summary and conclusion.
References.
American Psychological Association (APA)
al-Khalidi, Randa Ali. (2008). Inconsistency management in software functional requiremnts : a machine learning system. (Doctoral dissertations Theses and Dissertations Master). Arab Academy for Financial and Banking Sciences, Jordan
https://search.emarefa.net/detail/BIM-306285
Modern Language Association (MLA)
al-Khalidi, Randa Ali. Inconsistency management in software functional requiremnts : a machine learning system. (Doctoral dissertations Theses and Dissertations Master). Arab Academy for Financial and Banking Sciences. (2008).
https://search.emarefa.net/detail/BIM-306285
American Medical Association (AMA)
al-Khalidi, Randa Ali. (2008). Inconsistency management in software functional requiremnts : a machine learning system. (Doctoral dissertations Theses and Dissertations Master). Arab Academy for Financial and Banking Sciences, Jordan
https://search.emarefa.net/detail/BIM-306285
Language
English
Data Type
Arab Theses
Record ID
BIM-306285
