Thesis Abstract

Automated Bug Detection and Fixing in Software Development is a crucial area of research in the field of computer science. This thesis explores the development of automated tools and techniques to detect and fix bugs in software, aiming to improve the efficiency and reliability of software development processes. The abstract provides an overview of the research conducted in this thesis. The introduction section of this thesis presents an overview of the research topic, highlighting the importance of automated bug detection and fixing in software development. The background of the study discusses the current challenges and limitations faced in manual bug detection and fixing processes, emphasizing the need for automated solutions. The problem statement section identifies the main issues addressed in this research, focusing on the inefficiencies and errors associated with manual bug detection and fixing. The objectives of the study outline the specific goals and aims of the research, including the development of automated tools for bug detection and fixing. The limitations of the study acknowledge the constraints and challenges faced during the research process, such as the complexity of software systems and the diversity of bugs. The scope of the study defines the boundaries and focus areas of the research, outlining the specific aspects of automated bug detection and fixing that are addressed. The significance of the study highlights the potential impact and benefits of automated bug detection and fixing tools in improving software quality and developer productivity. The structure of the thesis provides an overview of the chapters and sections included in the thesis, outlining the organization and flow of the research. The definition of terms clarifies key concepts and terminology used throughout the thesis, ensuring a clear understanding of the research context. Chapter two presents a comprehensive literature review, discussing existing research and tools related to automated bug detection and fixing in software development. The research methodology in chapter three outlines the approach and methods used in conducting the research, including data collection, analysis, and evaluation techniques. The chapter also discusses the tools and technologies utilized in developing automated bug detection and fixing solutions. Chapter four offers an in-depth discussion of the findings and results obtained from the research, presenting the effectiveness and performance of the automated bug detection and fixing tools developed. The chapter analyzes the impact of these tools on software quality and developer productivity, highlighting the strengths and limitations of the proposed solutions. Finally, chapter five presents the conclusion and summary of the project thesis, summarizing the key findings, contributions, and implications of the research. The conclusion also discusses future research directions and potential areas for further exploration in automated bug detection and fixing in software development. In conclusion, this thesis contributes to the ongoing research efforts in automated bug detection and fixing in software development, providing valuable insights and solutions to improve software quality and developer efficiency.

Thesis Overview