POOLER: A No-Code Platform to Automatically Generate Analytical Polls

The advancements in technology and widespread internet access have revolutionized the way data collection and polling are conducted. Traditional polling methods are often hampered by significant challenges, including high operational costs, limited ability to reach a broad audience, reliance on a large workforce, and the extensive time required for data analysis. These limitations have led to inefficiencies and reduced the effectiveness of traditional approaches. In this paper, we introduce a platform designed to automate the creation of online polls, utilizing a model-driven approach and no-code development platform. This system streamlines the polling process by allowing users to easily design and deploy polls without extensive programming knowledge. The platform also includes built-in functionalities to automatically generate charts and visualizations for data analysis, reducing the need for manual data processing. By simplifying these processes, the platform makes advanced polling tools accessible to non-experts, enabling quicker, more efficient data collection and analysis in a variety of contexts.

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Publication Details

Published
2025-02-05
DOI
https://doi.org/10.1109/csicc65765.2025.10967473
Primary Topic
Soybean genetics and cultivation
Type
article
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article

POOLER: A No-Code Platform to Automatically Generate Analytical Polls

Zahra Zamani, Mohammadreza Sharbaf, Moein-Aldin AliHosseini
Soybean genetics and cultivation
article

POOLER: A No-Code Platform to Automatically Generate Analytical Polls

Zahra Zamani, Mohammadreza Sharbaf, Moein-Aldin AliHosseini
article en

Abstract

The advancements in technology and widespread internet access have revolutionized the way data collection and polling are conducted. Traditional polling methods are often hampered by significant challenges, including high operational costs, limited ability to reach a broad audience, reliance on a large workforce, and the extensive time required for data analysis. These limitations have led to inefficiencies and reduced the effectiveness of traditional approaches. In this paper, we introduce a platform designed to automate the creation of online polls, utilizing a model-driven approach and no-code development platform. This system streamlines the polling process by allowing users to easily design and deploy polls without extensive programming knowledge. The platform also includes built-in functionalities to automatically generate charts and visualizations for data analysis, reducing the need for manual data processing. By simplifying these processes, the platform makes advanced polling tools accessible to non-experts, enabling quicker, more efficient data collection and analysis in a variety of contexts.

Amirkabir University of Technology (IR), University of Isfahan (IR)
Openalex Percentile: Top 94%
Soybean genetics and cultivation
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POOLER: A No-Code Platform to Automatically Generate Analytical Polls — Zahra Zamani, Mohammadreza Sharbaf, et al. · (2025) | TGRS Research Map | TGRS