An AI approach to activity diagram extraction
Dissertant
Thesis advisor
University
Isra University
Faculty
Faculty of Information Technology
Department
Department Software Engineering
University Country
Jordan
Degree
Master
Degree Date
2022
English Abstract
The scenarios or functional requirements constitute the first step of life cycle system that are usually vague and unclear, so a natural language processing model was created to solve this problem and to reduce time and effort spent by analysts.
In addition, to transforming these texts after processing them into a structure related to the activities diagram.
The major goal of this thesis is to develop new AI method that automatically extracts an activity diagram element from given functional requirements.
The results are evaluated by using confusion matrix, which encompasses the calculating of number of factors, in which accuracy is one among them.
The method has been manually tested, verified for validation and reliability.
The accuracy registers approximately 81% for recognizing activity diagram element.
Main Subjects
Information Technology and Computer Science
No. of Pages
81
Table of Contents
Table of contents.
Abstract.
Chapter One : Introduction.
Chapter Two : Background and related works.
Chapter Three : Software development life cycle.
Chapter Four : Artificial intelligence
Chapter Five : Natural language processing.
Chapter Six : Methodology.
Chapter Seven : Evaluation.
Conclusion.
References.
American Psychological Association (APA)
Abu Hammad, Hamzah Bassam. (2022). An AI approach to activity diagram extraction. (Master's theses Theses and Dissertations Master). Isra University, Jordan
https://search.emarefa.net/detail/BIM-1414466
Modern Language Association (MLA)
Abu Hammad, Hamzah Bassam. An AI approach to activity diagram extraction. (Master's theses Theses and Dissertations Master). Isra University. (2022).
https://search.emarefa.net/detail/BIM-1414466
American Medical Association (AMA)
Abu Hammad, Hamzah Bassam. (2022). An AI approach to activity diagram extraction. (Master's theses Theses and Dissertations Master). Isra University, Jordan
https://search.emarefa.net/detail/BIM-1414466
Language
English
Data Type
Arab Theses
Record ID
BIM-1414466
