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  Published Paper Details:

  Paper Title

Beyond Code Generation: Unveiling ChatGPT's Potential for the Software Development Workflow

  Authors

  Arpan Mukherjee,  Anurag Raj,  Nisha Rathore

  Keywords

ChatGPT, software development workflow, AI, testing, documentation, design, bias, security, education, collaboration

  Abstract


This paper explores the wide-ranging capabilities of ChatGPT, an advanced AI model, beyond its traditional role of code generation, focusing on its potential to enhance the software development workflow. ChatGPT serves as a versatile tool throughout various stages of software development, helping in ideation, debugging, explanation, and documentation. By leveraging its natural language understanding, developers can engage in interactive conversations to brainstorm ideas and refine concepts collaboratively. Moreover, ChatGPT's ability to analyse error messages and suggest troubleshooting steps streamlines the debugging process, leading to efficient issue resolution. Additionally, ChatGPT excels in providing comprehensive explanations and generating documentation for code segments and technical concepts, fostering knowledge sharing and improving code quality. Integrating ChatGPT into the software development workflow promises to revolutionize the way software is conceptualized, developed, and maintained, driving efficiency, innovation, and collaboration in the digital age

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2405511

  Paper ID - 259625

  Page Number(s) - e788-e794

  Pubished in - Volume 12 | Issue 5 | May 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Arpan Mukherjee,  Anurag Raj,  Nisha Rathore,   "Beyond Code Generation: Unveiling ChatGPT's Potential for the Software Development Workflow", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 5, pp.e788-e794, May 2024, Available at :http://www.ijcrt.org/papers/IJCRT2405511.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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