Citation :

Gaurav Shekhar, 2024. "The Impact of AI and Automation on Software Development: A Deep Dive" ESP International Journal of Advancements in Computational Technology (ESP-IJACT)  Volume 2, Issue 1: 162-174.

Abstract :

This is due to the fact that the technological growth, most especially in the artificial intelligence and automation system has influenced a number of fields, among them being software development. Also, in this paper, the author looks at the advancement of AI and Automation in software engineering and discusses the effect of the two key concepts in enhancing the development processes, efficiency and quality of code, as seen in the sections below. In this part, the tools and techniques involved in ASD are described, the benefits and issues are explored, and the different roles of developers are also described, especially in the context of ASD. AI’s impact at different phases of the software development life cycle, such as requirement analysis, design, coding, testing, and implementation, is analyzed. The applicability of the AI tools, examples including machine learning models and automated code generation tools, are also discussed in considerable detail. This study is divided into six sections: There is the research proposal including such sections as the definition of the problem, literature review, methodology, results, and discussion with the conclusion. The introduction only gives the background on AI, automation and their applicability to the development of software. A literature review also presents a historical perspective of the integration of AI in software engineering and major work and developments. The methodology highlights the methods which were employed in order to collect the necessary information and knowledge. In the result and discussion section, this study provides the outcome of the research. It measures the benefits of using AI in terms of coding efficiency, reliability in software, and cost-effectiveness as well. Last but not least, the conclusion explains the opportunities and threats that underlie the AI revolution to refashion the software development paradigm.

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Keywords :

Artificial Intelligence, Automation, Software Development, Machine Learning, Code Generation, Automated Testing, DevOps.