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Introduction

In today’s fast-paced technological world, software development has become increasingly important for organizations to stay competitive and meet the ever-evolving needs of their customers. One of the key steps in the software development process is gathering requirements, which involves capturing and documenting the needs and expectations of stakeholders for a software system. However, traditional methods of requirements gathering can be time-consuming, error-prone, and inefficient.

In recent years, natural language processing (NLP) techniques have emerged as a promising approach to automate the requirements gathering process. NLP enables computers to understand, interpret, and generate human language, which can be leveraged to extract requirements from textual sources such as user stories, emails, and other documentation.

This thesis explores the use of automated software requirements gathering using natural language processing, with the aim of improving the efficiency, accuracy, and effectiveness of the requirements gathering process. By leveraging NLP techniques, organizations can streamline the requirements gathering process, reduce human errors, and ensure that the software system meets the expectations of stakeholders.

Table of Contents

Chapter 1: Introduction
1.1 Introduction
1.2 Background of Study
1.3 Problem Statement
1.4 Objectives of Study
1.5 Limitations of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter 2: Literature Review
2.1 Overview of Software Requirements Gathering
2.2 Traditional Methods of Requirements Gathering
2.3 Natural Language Processing in Software Development
2.4 Automation in Requirements Gathering
2.5 NLP Techniques for Requirements Analysis
2.6 Benefits and Challenges of Automated Requirements Gathering
2.7 Case Studies on Automated Requirements Gathering
2.8 Current Trends in NLP for Requirements Engineering
2.9 Gaps in Literature
2.10 Summary of Literature Review

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Research Variables
3.5 Sampling Technique
3.6 Research Instruments
3.7 Data Validation Methods
3.8 Ethical Considerations
3.9 Limitations of Research Methodology

Chapter 4: Discussion of Findings
4.1 Analysis of Requirements Gathering Process
4.2 Evaluation of NLP Techniques
4.3 Comparison with Traditional Methods
4.4 Implications for Software Development
4.5 Recommendations for Implementation
4.6 Future Research Directions

Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Implications for Practice
5.3 Contributions to Knowledge
5.4 Limitations and Future Research
5.5 Conclusion

This thesis aims to provide a comprehensive overview of automated software requirements gathering using natural language processing, including a review of the literature, research methodology, discussion of findings, and implications for practice. Through this research, we hope to contribute to the growing body of knowledge on NLP in software development and offer insights into how organizations can improve their requirements gathering processes.

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