Generative Artificial Intelligence: Challenges and Opportunities for Systems Developers: A Systematic Mapping of Literature

Samira Santos Caduda; Anderson Santos Barroso

doi:doi:10.11648/j.mlr.20240902.12

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Generative Artificial Intelligence: Challenges and Opportunities for Systems Developers: A Systematic Mapping of Literature

Samira Santos Caduda

, Anderson Santos Barroso^*

Published in Machine Learning Research (Volume 9, Issue 2)

Received: 16 July 2024 Accepted: 16 August 2024 Published: 29 September 2024

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Abstract

Generative Artificial Intelligence tools have gained increasing prominence in recent years. However, the increasing use of these technologies and the functionalities they offer has sparked discussions about their impact and even raised concerns about the potential replacement of human work by automation carried out by machines. This study proposes a Systematic Literature Review to evaluate the opportunities and challenges that these technologies present to system developers in the current and future technological scenario. Aiming at state-of-the-art research to identify how Generative AIs are being applied in the context of software development and what are the latest trends and innovations in this field and how these innovations affect the opportunities and challenges for system developers. As a result, several studies were found that highlight how Generative AI has provided productivity and systems development optimized solutions in the industry, as well as promoting innovations. Studies also emphasize the need for a balance between the use of AI tools and development carried out by human participation, which must be mediated by common sense. Furthermore, the review will explore the ethical implications associated with the widespread adoption of AI technologies, addressing issues such as data privacy, decision-making transparency, and the responsibility of developers in ensuring that AI applications are used in a way that benefits society. The findings of this review will contribute to a better understanding of how generative AI is reshaping the software development landscape and provide insights for future research and development in this rapidly evolving field.

Published in	Machine Learning Research (Volume 9, Issue 2)
DOI	10.11648/j.mlr.20240902.12
Page(s)	39-47
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Generative Artificial Intelligence, System Development, Systematic Mapping

References

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Caduda, S. S., Barroso, A. S. (2024). Generative Artificial Intelligence: Challenges and Opportunities for Systems Developers: A Systematic Mapping of Literature. Machine Learning Research, 9(2), 39-47. https://doi.org/10.11648/j.mlr.20240902.12

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Caduda, S. S.; Barroso, A. S. Generative Artificial Intelligence: Challenges and Opportunities for Systems Developers: A Systematic Mapping of Literature. Mach. Learn. Res. 2024, 9(2), 39-47. doi: 10.11648/j.mlr.20240902.12

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AMA Style

Caduda SS, Barroso AS. Generative Artificial Intelligence: Challenges and Opportunities for Systems Developers: A Systematic Mapping of Literature. Mach Learn Res. 2024;9(2):39-47. doi: 10.11648/j.mlr.20240902.12

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@article{10.11648/j.mlr.20240902.12,
  author = {Samira Santos Caduda and Anderson Santos Barroso},
  title = {Generative Artificial Intelligence: Challenges and Opportunities for Systems Developers: A Systematic Mapping of Literature
},
  journal = {Machine Learning Research},
  volume = {9},
  number = {2},
  pages = {39-47},
  doi = {10.11648/j.mlr.20240902.12},
  url = {https://doi.org/10.11648/j.mlr.20240902.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mlr.20240902.12},
  abstract = {Generative Artificial Intelligence tools have gained increasing prominence in recent years. However, the increasing use of these technologies and the functionalities they offer has sparked discussions about their impact and even raised concerns about the potential replacement of human work by automation carried out by machines. This study proposes a Systematic Literature Review to evaluate the opportunities and challenges that these technologies present to system developers in the current and future technological scenario. Aiming at state-of-the-art research to identify how Generative AIs are being applied in the context of software development and what are the latest trends and innovations in this field and how these innovations affect the opportunities and challenges for system developers. As a result, several studies were found that highlight how Generative AI has provided productivity and systems development optimized solutions in the industry, as well as promoting innovations. Studies also emphasize the need for a balance between the use of AI tools and development carried out by human participation, which must be mediated by common sense. Furthermore, the review will explore the ethical implications associated with the widespread adoption of AI technologies, addressing issues such as data privacy, decision-making transparency, and the responsibility of developers in ensuring that AI applications are used in a way that benefits society. The findings of this review will contribute to a better understanding of how generative AI is reshaping the software development landscape and provide insights for future research and development in this rapidly evolving field.
},
 year = {2024}
}

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TY  - JOUR
T1  - Generative Artificial Intelligence: Challenges and Opportunities for Systems Developers: A Systematic Mapping of Literature

AU  - Samira Santos Caduda
AU  - Anderson Santos Barroso
Y1  - 2024/09/29
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DO  - 10.11648/j.mlr.20240902.12
T2  - Machine Learning Research
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AB  - Generative Artificial Intelligence tools have gained increasing prominence in recent years. However, the increasing use of these technologies and the functionalities they offer has sparked discussions about their impact and even raised concerns about the potential replacement of human work by automation carried out by machines. This study proposes a Systematic Literature Review to evaluate the opportunities and challenges that these technologies present to system developers in the current and future technological scenario. Aiming at state-of-the-art research to identify how Generative AIs are being applied in the context of software development and what are the latest trends and innovations in this field and how these innovations affect the opportunities and challenges for system developers. As a result, several studies were found that highlight how Generative AI has provided productivity and systems development optimized solutions in the industry, as well as promoting innovations. Studies also emphasize the need for a balance between the use of AI tools and development carried out by human participation, which must be mediated by common sense. Furthermore, the review will explore the ethical implications associated with the widespread adoption of AI technologies, addressing issues such as data privacy, decision-making transparency, and the responsibility of developers in ensuring that AI applications are used in a way that benefits society. The findings of this review will contribute to a better understanding of how generative AI is reshaping the software development landscape and provide insights for future research and development in this rapidly evolving field.

VL  - 9
IS  - 2
ER  -

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Author Information

Samira Santos Caduda

Department of Computing, Tiradentes University, Aracaju-SE, Brazil

http://orcid.org/0009-0001-8033-710X
Anderson Santos Barroso

Department of Computing, Tiradentes University, Aracaju-SE, Brazil

Contact Email

http://orcid.org/0000-0001-7440-1382

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APA Style

Caduda, S. S., Barroso, A. S. (2024). Generative Artificial Intelligence: Challenges and Opportunities for Systems Developers: A Systematic Mapping of Literature. Machine Learning Research, 9(2), 39-47. https://doi.org/10.11648/j.mlr.20240902.12

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ACS Style

Caduda, S. S.; Barroso, A. S. Generative Artificial Intelligence: Challenges and Opportunities for Systems Developers: A Systematic Mapping of Literature. Mach. Learn. Res. 2024, 9(2), 39-47. doi: 10.11648/j.mlr.20240902.12

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AMA Style

Caduda SS, Barroso AS. Generative Artificial Intelligence: Challenges and Opportunities for Systems Developers: A Systematic Mapping of Literature. Mach Learn Res. 2024;9(2):39-47. doi: 10.11648/j.mlr.20240902.12

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@article{10.11648/j.mlr.20240902.12,
  author = {Samira Santos Caduda and Anderson Santos Barroso},
  title = {Generative Artificial Intelligence: Challenges and Opportunities for Systems Developers: A Systematic Mapping of Literature
},
  journal = {Machine Learning Research},
  volume = {9},
  number = {2},
  pages = {39-47},
  doi = {10.11648/j.mlr.20240902.12},
  url = {https://doi.org/10.11648/j.mlr.20240902.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mlr.20240902.12},
  abstract = {Generative Artificial Intelligence tools have gained increasing prominence in recent years. However, the increasing use of these technologies and the functionalities they offer has sparked discussions about their impact and even raised concerns about the potential replacement of human work by automation carried out by machines. This study proposes a Systematic Literature Review to evaluate the opportunities and challenges that these technologies present to system developers in the current and future technological scenario. Aiming at state-of-the-art research to identify how Generative AIs are being applied in the context of software development and what are the latest trends and innovations in this field and how these innovations affect the opportunities and challenges for system developers. As a result, several studies were found that highlight how Generative AI has provided productivity and systems development optimized solutions in the industry, as well as promoting innovations. Studies also emphasize the need for a balance between the use of AI tools and development carried out by human participation, which must be mediated by common sense. Furthermore, the review will explore the ethical implications associated with the widespread adoption of AI technologies, addressing issues such as data privacy, decision-making transparency, and the responsibility of developers in ensuring that AI applications are used in a way that benefits society. The findings of this review will contribute to a better understanding of how generative AI is reshaping the software development landscape and provide insights for future research and development in this rapidly evolving field.
},
 year = {2024}
}

Copy | Download

TY  - JOUR
T1  - Generative Artificial Intelligence: Challenges and Opportunities for Systems Developers: A Systematic Mapping of Literature

AU  - Samira Santos Caduda
AU  - Anderson Santos Barroso
Y1  - 2024/09/29
PY  - 2024
N1  - https://doi.org/10.11648/j.mlr.20240902.12
DO  - 10.11648/j.mlr.20240902.12
T2  - Machine Learning Research
JF  - Machine Learning Research
JO  - Machine Learning Research
SP  - 39
EP  - 47
PB  - Science Publishing Group
SN  - 2637-5680
UR  - https://doi.org/10.11648/j.mlr.20240902.12
AB  - Generative Artificial Intelligence tools have gained increasing prominence in recent years. However, the increasing use of these technologies and the functionalities they offer has sparked discussions about their impact and even raised concerns about the potential replacement of human work by automation carried out by machines. This study proposes a Systematic Literature Review to evaluate the opportunities and challenges that these technologies present to system developers in the current and future technological scenario. Aiming at state-of-the-art research to identify how Generative AIs are being applied in the context of software development and what are the latest trends and innovations in this field and how these innovations affect the opportunities and challenges for system developers. As a result, several studies were found that highlight how Generative AI has provided productivity and systems development optimized solutions in the industry, as well as promoting innovations. Studies also emphasize the need for a balance between the use of AI tools and development carried out by human participation, which must be mediated by common sense. Furthermore, the review will explore the ethical implications associated with the widespread adoption of AI technologies, addressing issues such as data privacy, decision-making transparency, and the responsibility of developers in ensuring that AI applications are used in a way that benefits society. The findings of this review will contribute to a better understanding of how generative AI is reshaping the software development landscape and provide insights for future research and development in this rapidly evolving field.

VL  - 9
IS  - 2
ER  -

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