Using Chatgpt’s Ai-Powered Language Processing Technology In Software Development: A Test Module Example

Abstract

AI powered technologies have brought significant transformation to software development processes, as in many other fields in recent years. ChatGPT, developed by OpenAI, is a language model with natural language processing capabilities that supports software developers in various areas such as code generation, debugging, and optimization. In this study, the use of ChatGPT in software development processes was tested through a module. For the test, ChatGPT 4.0 was asked to write a “Data Analysis Module for a Mobile Digital Forensics Application” using Python. The command details of the module are explained in detail in the methodology section of the study. The study evaluates the effectiveness of ChatGPT through theoretical analyses and practical examples, aiming to reveal the strengths and weaknesses of the model. It examines how ChatGPT can generate code in various programming languages, evaluates the performance of these codes, and explores the model's role in debugging processes. The study highlights the model's strengths, particularly in areas such as fundamental algorithms, data processing, bug fixing, and code optimization. However, it also notes that the model carries the risk of occasionally producing incorrect or incomplete code in complex or ambiguous inputs. As a result, the study presents findings obtained through practical examples and testing of these codes. It also concludes that while ChatGPT is a valuable assistant tool in software development processes, it must be supported by human supervision and testing. This study provides theoretical analyses and practical examples to understand the effectiveness and limitations of ChatGPT, offering insights for future research.