Refactoring Android Source Code Smells From Android Applications

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F25%3A10256660" target="_blank" >RIV/61989100:27740/25:10256660 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/10840228" target="_blank" >https://ieeexplore.ieee.org/document/10840228</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ACCESS.2025.3529687" target="_blank" >10.1109/ACCESS.2025.3529687</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Refactoring Android Source Code Smells From Android Applications

Popis výsledku v původním jazyce

As technology advances and new features emerge, the demand for Android applications continues to grow, leading to rapid release schedules. These accelerated development timelines often push developers to make rushed changes, often resulting in suboptimal design practices, commonly known as code smells. These issues can degrade application quality, drive up maintenance costs, lead to unexpected behaviors, and complicate evolution and re-engineering efforts. While substantial research has focused on identifying Android-specific and object-oriented code smells, comparatively less attention has been devoted to their systematic refactoring and evaluation. This study introduces a web-based technique, validated through a tool specifically developed to detect 20 Android-specific code smells and automatically refactor 10 of them. Our approach surpasses traditional desktop and plugin solutions by providing easy accessibility, cross-platform compatibility, and eliminating setup requirements. When applied to six open-source and two industrial Android applications and evaluated against the ISO/IEC 25010 quality standard, our tool demonstrated considerable improvements: reducing CPU utilization by 15.39%, lowering memory consumption by 12.85%, and enhancing battery efficiency by up to 5.78%. The tool&apos;s accuracy, validated through precision, recall, and F-measure metrics, achieved averages of 91.81% precision, 97.77% recall, and a 94.67% F-measure. This study enhances the Android application development lifecycle by offering developers a feasible solution for optimizing CPU efficiency, reducing memory use, and minimizing battery consumption.

Název v anglickém jazyce

Refactoring Android Source Code Smells From Android Applications

Popis výsledku anglicky

As technology advances and new features emerge, the demand for Android applications continues to grow, leading to rapid release schedules. These accelerated development timelines often push developers to make rushed changes, often resulting in suboptimal design practices, commonly known as code smells. These issues can degrade application quality, drive up maintenance costs, lead to unexpected behaviors, and complicate evolution and re-engineering efforts. While substantial research has focused on identifying Android-specific and object-oriented code smells, comparatively less attention has been devoted to their systematic refactoring and evaluation. This study introduces a web-based technique, validated through a tool specifically developed to detect 20 Android-specific code smells and automatically refactor 10 of them. Our approach surpasses traditional desktop and plugin solutions by providing easy accessibility, cross-platform compatibility, and eliminating setup requirements. When applied to six open-source and two industrial Android applications and evaluated against the ISO/IEC 25010 quality standard, our tool demonstrated considerable improvements: reducing CPU utilization by 15.39%, lowering memory consumption by 12.85%, and enhancing battery efficiency by up to 5.78%. The tool&apos;s accuracy, validated through precision, recall, and F-measure metrics, achieved averages of 91.81% precision, 97.77% recall, and a 94.67% F-measure. This study enhances the Android application development lifecycle by offering developers a feasible solution for optimizing CPU efficiency, reducing memory use, and minimizing battery consumption.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10700 - Other natural sciences

Projekt

—

Návaznosti

O - Projekt operacniho programu

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IEEE Access

ISSN

2169-3536

e-ISSN

2169-3536

Svazek periodika

13

Číslo periodika v rámci svazku

nestránkováno

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

29

Strana od-do

14122-14150

Kód UT WoS článku

001405925700028

EID výsledku v databázi Scopus

2-s2.0-85215225955