Android source code vulnerability detection: a systematic literature review

J Senanayake, H Kalutarage, MO Al-Kadri… - ACM Computing …, 2023 - dl.acm.org
The use of mobile devices is rising daily in this technological era. A continuous and
increasing number of mobile applications are constantly offered on mobile marketplaces to …

[HTML][HTML] Android mobile malware detection using machine learning: A systematic review

J Senanayake, H Kalutarage, MO Al-Kadri - Electronics, 2021 - mdpi.com
With the increasing use of mobile devices, malware attacks are rising, especially on Android
phones, which account for 72.2% of the total market share. Hackers try to attack …

Beyond technical aspects: How do community smells influence the intensity of code smells?

F Palomba, DA Tamburri, FA Fontana… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Code smells are poor implementation choices applied by developers during software
evolution that often lead to critical flaws or failure. Much in the same way, community smells …

On the impact of code smells on the energy consumption of mobile applications

F Palomba, D Di Nucci, A Panichella, A Zaidman… - Information and …, 2019 - Elsevier
Context. The demand for green software design is steadily growing higher especially in the
context of mobile devices, where the computation is often limited by battery life. Previous …

Catalog of energy patterns for mobile applications

L Cruz, R Abreu - Empirical Software Engineering, 2019 - Springer
Software engineers make use of design patterns for reasons that range from performance to
code comprehensibility. Several design patterns capturing the body of knowledge of best …

Code smells detection and visualization: a systematic literature review

J Pereira dos Reis, F Brito e Abreu… - … Methods in Engineering, 2022 - Springer
Code smells tend to compromise software quality and also demand more effort by
developers to maintain and evolve the application throughout its life-cycle. They have long …

An empirical study on quality of Android applications written in Kotlin language

B Góis Mateus, M Martinez - Empirical Software Engineering, 2019 - Springer
Context During the last years, developers of mobile applications have the possibility to use
new paradigms and tools for develo** mobile applications. For instance, since 2017 …

Software smell detection techniques: A systematic literature review

A AbuHassan, M Alshayeb… - Journal of Software …, 2021 - Wiley Online Library
Software smells indicate design or code issues that might degrade the evolution and
maintenance of software systems. Detecting and identifying these issues are challenging …

[HTML][HTML] How far are we from reproducible research on code smell detection? A systematic literature review

T Lewowski, L Madeyski - Information and Software Technology, 2022 - Elsevier
Context: Code smells are symptoms of wrong design decisions or coding shortcuts that may
increase defect rate and decrease maintainability. Research on code smells is accelerating …

Deep learning-based model using DensNet201 for mobile user interface evaluation

M Soui, Z Haddad - International Journal of Human–Computer …, 2023 - Taylor & Francis
Human-centered AI plays a vital role in ensuring that human capabilities and ideas are
tailored to meet efficiently the data requirements. The main idea is focusing on making …