SEFeb 21, 2019

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

arXiv:1902.08303v1
Originality Synthesis-oriented
AI Analysis

This addresses a domain-specific issue for software developers by providing an incremental improvement in data entry efficiency.

The paper tackled the problem of inefficient data entry in front-end applications by comparing a traditional method with a reverse logistic approach for geographical location inputs, resulting in a 59% decrease in user time spent.

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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