TString: a tool to locate the target string’s screen based on automatic exploration

Developing localized software applications for multiple languages can significantly expand a developer’s potential consumer base, offering strong economic incentives. When targeting the global market, it is essential to adapt content to the specific region, culture, or country that the software will serve. Therefore, Localization (l10n) and Internationalization (i18n) testing are crucial for ensuring a seamless user experience, regardless of the locale settings on the application. A key task in localization testing is validating textual content (strings), which often relies heavily on the tester’s experience to locate screens containing the strings that need validation. However, the limited availability of automated tools for localization and internationalization testing results in labor-intensive, repetitive manual work. This research seeks to address these challenges by (i) introducing TString, a tool designed to assist localization and internationalization testers in identifying screens containing specific strings for validation, and (ii) conducting a preliminary evaluation to assess the usefulness of TString in an industrial context. To assess the tool’s usability, the System Usability Scale (SUS) was employed. A group of localization/internationalization testers received an overview of the tool and subsequently completed the SUS questionnaire. The tool achieved highly positive results, with scores ranging from 92.5 to 100, indicating strong acceptance and a high likelihood of meeting the testers’ needs.

Authors

Publication Details

Published
2024-09-30
DOI
https://doi.org/10.5753/sast.2024.3886
Primary Topic
Interactive and Immersive Displays
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

TString: a tool to locate the target string’s screen based on automatic exploration

Maria Couto, Breno Miranda, Lais Pereira Felipe
Interactive and Immersive Displays
article

TString: a tool to locate the target string’s screen based on automatic exploration

Maria Couto, Breno Miranda, Lais Pereira Felipe
article en

Abstract

Developing localized software applications for multiple languages can significantly expand a developer’s potential consumer base, offering strong economic incentives. When targeting the global market, it is essential to adapt content to the specific region, culture, or country that the software will serve. Therefore, Localization (l10n) and Internationalization (i18n) testing are crucial for ensuring a seamless user experience, regardless of the locale settings on the application. A key task in localization testing is validating textual content (strings), which often relies heavily on the tester’s experience to locate screens containing the strings that need validation. However, the limited availability of automated tools for localization and internationalization testing results in labor-intensive, repetitive manual work. This research seeks to address these challenges by (i) introducing TString, a tool designed to assist localization and internationalization testers in identifying screens containing specific strings for validation, and (ii) conducting a preliminary evaluation to assess the usefulness of TString in an industrial context. To assess the tool’s usability, the System Usability Scale (SUS) was employed. A group of localization/internationalization testers received an overview of the tool and subsequently completed the SUS questionnaire. The tool achieved highly positive results, with scores ranging from 92.5 to 100, indicating strong acceptance and a high likelihood of meeting the testers’ needs.

Openalex Percentile: Top 82%
Interactive and Immersive Displays
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.