# Bottom-up strategy for data retrieval and data entry over front-end application Software

## TL;DR

This paper demonstrates that a bottom-up data retrieval and entry approach significantly reduces user input time in front-end applications, highlighting the importance of evaluating best practices for efficiency.

## Contribution

It introduces a reverse logistic method for data retrieval and entry, showing its effectiveness over traditional methods through empirical comparison.

## Key findings

- 59% reduction in user input time
- Improved efficiency in geographical data entry
- Foundation for faster string matching-based search

## Abstract

Some people implement pattern and best practices without analyzing its efficiency on their projects. Consequently, our goal in this article is to convince software developers that it is worth to make an earnest effort to evaluate the use of best practices and software patterns. For such purpose, in this study we took a concrete case system for geographical locations inputs through user interfaces. Then, we performed a comparative study on a traditional method against our approach, named reverse logistic to retrieve results, by measuring the time that a user spends to perform actions when entering data into a system. Surprisingly, we had a decrease of 59% in the amount of time spent in comparison to the time spent on the traditional method. This result lays a foundation for feeding data from the typical final step and search based on string matching algorithms, speeding up the interaction between people and computer response

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Source: https://tomesphere.com/paper/1902.08303