A Machine Learning Approach for Automated Filling of Categorical Fields in Data Entry Forms - RCR Report

Hichem Belgacem; Xiaochen Li; Domenico Bianculli; Lionel Briand

doi:10.1145/3702985

A Machine Learning Approach for Automated Filling of Categorical Fields in Data Entry Forms - RCR Report

Hichem Belgacem, Xiaochen Li, Domenico Bianculli, Lionel Briand

Research output: Contribution to journal › Article › peer-review

Abstract

This article represents the Replicated Computational Results (RCR) related to our TOSEM paper "A Machine Learning Approach for Automated Filling of Categorical Fields in Data Entry Forms,"where we proposed LAFF, an approach to automatically suggest possible values of categorical fields in data entry forms, which is a common user interface feature in many software systems. In this RCR report, we provide details about our replication package. We make available the different scripts needed to fully replicate the results obtained in our paper.

Original language	English
Article number	56
Journal	ACM Transactions on Software Engineering and Methodology
Volume	34
Issue number	2
DOIs	https://doi.org/10.1145/3702985
Publication status	Published - 23 Jan 2025

Keywords

Data entry forms
Form filling
Machine learning
Software data quality
User interfaces

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10.1145/3702985

Cite this

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abstract = "This article represents the Replicated Computational Results (RCR) related to our TOSEM paper {"}A Machine Learning Approach for Automated Filling of Categorical Fields in Data Entry Forms,{"}where we proposed LAFF, an approach to automatically suggest possible values of categorical fields in data entry forms, which is a common user interface feature in many software systems. In this RCR report, we provide details about our replication package. We make available the different scripts needed to fully replicate the results obtained in our paper.",

keywords = "Data entry forms, Form filling, Machine learning, Software data quality, User interfaces",

author = "Hichem Belgacem and Xiaochen Li and Domenico Bianculli and Lionel Briand",

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AU - Bianculli, Domenico

AU - Briand, Lionel

PY - 2025/1/23

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N2 - This article represents the Replicated Computational Results (RCR) related to our TOSEM paper "A Machine Learning Approach for Automated Filling of Categorical Fields in Data Entry Forms,"where we proposed LAFF, an approach to automatically suggest possible values of categorical fields in data entry forms, which is a common user interface feature in many software systems. In this RCR report, we provide details about our replication package. We make available the different scripts needed to fully replicate the results obtained in our paper.

AB - This article represents the Replicated Computational Results (RCR) related to our TOSEM paper "A Machine Learning Approach for Automated Filling of Categorical Fields in Data Entry Forms,"where we proposed LAFF, an approach to automatically suggest possible values of categorical fields in data entry forms, which is a common user interface feature in many software systems. In this RCR report, we provide details about our replication package. We make available the different scripts needed to fully replicate the results obtained in our paper.

KW - Data entry forms

KW - Form filling

KW - Machine learning

KW - Software data quality

KW - User interfaces

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A Machine Learning Approach for Automated Filling of Categorical Fields in Data Entry Forms - RCR Report

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