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Article http://dx.doi.org/10.26855/acc.2024.02.003

Analysis of Computer Application Software Automation Development Technology

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Tongwei Xie1,*, Yanchang Song2

1Kyungil University, Gyeongsan, Gyeongsangbuk-do, South Korea.

2Zhengzhou No.4 Senior High School, Zhengzhou, Henan, China.

*Corresponding author: Tongwei Xie

Published: April 8,2024

Abstract

Software development is the process of constructing an entire software system or its components tailored to the users' needs. As a virtual platform controllable by humans, computer application software proficiently executes a variety of intricate tasks, thereby enhancing work efficiency and quality. With the ongoing advancement in automatic assembly technology, the development of application software is gradually transitioning from traditional modes to automated processes. This transformation not only significantly reduces labor costs in software generation efficiency but also caters to the individual needs of users. Particularly, with the rapid evolution of Artificial Intelligence (AI), its integration into the realm of software development can effectively reshape the development process, lower the professional threshold, and enable widespread participation in the software development process. In this research, software developers should proactively adapt to this new environment. On the one hand, attention should be directed towards the development and application of automation technology, channeling more efforts into areas less susceptible to automation. On the other hand, there is a need for a shift from a singular program or platform development model to a collaborative approach where multiple software systems seamlessly integrate. In consideration of these factors and drawing on practical insights, this paper delves into the application of automatic development technology in the domain of computer application software.

References

[1] Sarker, I. H. (2022). Ai-based modeling: Techniques, applications and research issues towards automation, intelligent and smart systems. SN Computer Science, 3(2), 158.

[2] Ribeiro, J., Lima, R., Eckhardt, T., & Paiva, S. (2021). Robotic process automation and artificial intelligence in industry 4.0–a literature review. Procedia Computer Science, 181, 51-58.

[3] Anthony, A. R. V., Prasad, G. D., Randunuge, S. U., Alahakoon, S. R. A. M. P. A., Wijendra, D. R., & Krishara, J. (2020). Software Development Automation: An Approach to Automate the Processes of SDLC. International Journal of Computer Applications, 875-887.

[4] Mishra, A., & Otaiwi, Z. (2020). DevOps and software quality: A systematic mapping. Computer Science Review, 38, 100-308.

[5] Javaid, M., Haleem, A., Singh, R. P., Khan, S., & Suman, R. (2021). Blockchain technology applications for Industry 4.0: A literature-based review. Blockchain: Research and Applications, 2(4), 100-127.

[6] Kunduru, A. R. (2023). Cloud BPM Application (Appian) Robotic Process Automation Capabilities. Asian Journal of Research in Computer Science, 16(3), 267-280.

How to cite this paper

Analysis of Computer Application Software Automation Development Technology

How to cite this paper: Tongwei Xie, Yanchang Song. (2024) Analysis of Computer Application Software Automation Development Technology. Advances in Computer and Communication5(1), 20-25.

DOI: http://dx.doi.org/10.26855/acc.2024.02.003