Adviser Automation Express: CSV-Powered Multi-Recipient Messaging System

Authors

  • Suyash Ganeshkar  B.E(Computer Engineering), Savitribai Phule Pune University, Zeal College of Engineering and Research, Pune, Maharashtra, India
  • Manish Fale  B.E(Computer Engineering), Savitribai Phule Pune University, Zeal College of Engineering and Research, Pune, Maharashtra, India
  • Akhilesh Adhe  B.E(Computer Engineering), Savitribai Phule Pune University, Zeal College of Engineering and Research, Pune, Maharashtra, India
  • Sarang Dhanave  B.E(Computer Engineering), Savitribai Phule Pune University, Zeal College of Engineering and Research, Pune, Maharashtra, India
  • Prof. Arunadevi Khaple  Asst.Professor. Department of Computer Engineering, Zeal College of Engineering and Research, Pune, Maharashtra, India

DOI:

https://doi.org/10.32628/IJSRST52411141

Keywords:

Python, Selenium, Automation, Testing, Chrome WebDriver

Abstract

In the ever-evolving realm of digital advertising, the ability to effectively communicate with target audiences is a pivotal determinant of success. Advertisers continually seek innovative solutions to streamline their campaigns, reduce operational overhead, and enhance the personalization of messages to engage consumers more effectively. Manual communication methods, while functional, often fall short in meeting these demands, leading to the exploration automation as a compelling alternative. Adviser automation as a transformative tool for advertisers. Specifically, it focuses on the development and implementation of a CSV integrated message sender, a solution aimed at simplifying the intricate process of reaching audiences at scale.

References

  1. A. Bezbaruah, B. Pratap and S. B. Hake, ”Automation of Tests and Comparative Analysis between Manual and Automated testing,” 2020 IEEE Students Conference on Engineering & Systems (SCES), Prayagraj, India, 2020, pp. 1-5, doi: 10.1109/SCES50439.2020.9236748.
  2. R. M. Sharma, “Quantitative Analysis of Automation and Manual Testing,” vol. 4, no. 1, pp. 252–257, 2014. [3] R. Broer Bahaweres et al., ”Behavior-driven development (BDD) Cu cumber Katalon for Automation GUI testing case CURA and Swag Labs,” 2020 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS), Jakarta, Indonesia, 2020, pp. 87-92, doi: 10.1109/ICIMCIS51567.2020.9354325.
  3. Bertolino, A., 2007. Software testing research: Achievements, challenges, dreams. In: Future of Software Engineering. FOSE’07, IEEE, pp. 85–103. Burns, D., Smith, M., 2022. WebDriver bidi. Editor’s draft.
  4. Cáceres, M., Christiansen, K.R., Giuca, M., Gustafson, A., Murphy, D., Kosti ainen, A., 2022. Web application manifest, W3C working draft.(Online Accessed 29 May 2022). Cerioli, M., Leotta, M., Ricca, F., 2020. What 5 million job advertisements tell us about testing: a preliminary empirical investigation. In: Proceedings of the 35th Annual ACM Symposium on Applied Computing. pp. 1586–1594.
  5. Testing and Tools”, IJCSIT Volume:5(1), 908-912, 2014 Deepthi Wilson. R, Manjuprasad. B, “A Compressive Review on selenium Automation Testing Tools”, Department of Computer Science & Engineering, GSSSIETW, Mysuru, IJERT, ISSN: 2278-0181 2017
  6. Raharjana, I. K., Siahaan, D., & Fatichah, C. (2021). User Stories and Natural Language Processing: A Systematic Literature Review. IEEE Access, 9, 53811–53826. https://doi.org/10.1109/ACCESS.2021.3070606
  7. Nasiri, S., Rhazali, Y., Lahmer, M., & Adadi, A. (2021). From User Stories to UML Diagrams Driven by Ontological and Production Model. International Journal of Advanced Computer Science and Applications, 12(6), 333–340. https://doi.org/10.14569/IJACSA.2021.0120637 ZCOER, Department of Computer Engineering 2023-24 16
  8. Dwitam F., & Rusli, A. (2020). User stories collection via interactive chatbot to support requirements gathering. Telkomnika (Telecommunication Computing Electronics and Control), 18(2), 890–898. https://doi.org/10.12928/TELKOMNIKA.V18I2.14866
  9. Schön, E. M., Thomaschewski, J., & Escalona, M. J. (2017). Agile Requirements Engineering: A systematic literature review. Computer Standards & Interfaces, 49, 79– 91.

International Journal of Scientific Research in Science and Technology

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Published

2024-03-09

Issue

Volume 11, Issue 2, March-April-2024

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Suyash Ganeshkar, Manish Fale, Akhilesh Adhe, Sarang Dhanave, Prof. Arunadevi Khaple "Adviser Automation Express: CSV-Powered Multi-Recipient Messaging System" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 11, Issue 2, pp.75-82, March-April-2024. Available at doi : https://doi.org/10.32628/IJSRST52411141