Topic modeling in software engineering research

CC Silva, M Galster, F Gilson - Empirical Software Engineering, 2021 - Springer
Topic modeling using models such as Latent Dirichlet Allocation (LDA) is a text mining
technique to extract human-readable semantic “topics”(ie, word clusters) from a corpus of …

Dynamic Security Analysis on Android: A Systematic Literature Review

T Sutter, T Kehrer, M Rennhard, B Tellenbach… - IEEE …, 2024 - ieeexplore.ieee.org
Dynamic analysis is a technique that is used to fully understand the internals of a system at
runtime. On Android, dynamic security analysis involves real-time assessment and active …

Exploring the security and privacy risks of chatbots in messaging services

J Edu, C Mulligan, F Pierazzi, J Polakis… - Proceedings of the …, 2022 - dl.acm.org
The unprecedented adoption of messaging platforms for work and recreation has made it an
attractive target for malicious actors. In this context, third-party apps (so-called chatbots) offer …

Android malware detection by correlated real permission couples using FP growth algorithm and neural networks

A Banik, JP Singh - IEEE Access, 2023 - ieeexplore.ieee.org
In the current internet era, where mobile devices are ubiquitous and often hold sensitive
personal and corporate data, Android malware analysis is crucial to protect against the …

Natural Language Processing-based Software Testing: A Systematic Literature Review

M Boukhlif, M Hanine, N Kharmoum, AR Noriega… - IEEE …, 2024 - ieeexplore.ieee.org
New approaches to software testing are required due to the rising complexity of today's
software applications and the rapid growth of software engineering practices. Among these …

Experimental comparison of features, analyses, and classifiers for Android malware detection

LK Shar, BF Demissie, M Ceccato, YN Tun… - Empirical Software …, 2023 - Springer
Android malware detection has been an active area of research. In the past decade, several
machine learning-based approaches based on different types of features that may …

Identification of mobile development issues using semantic topic modeling of stack overflow posts

F Gurcan - PeerJ Computer Science, 2023 - peerj.com
Background Increasing demands for mobile apps and services have recently led to an
intensification of mobile development activities. With the proliferation of mobile development …

DiDOTS: Knowledge Distillation from Large-Language-Models for Dementia Obfuscation in Transcribed Speech

D Woszczyk, S Demetriou - arXiv preprint arXiv:2410.04188, 2024 - arxiv.org
Dementia is a sensitive neurocognitive disorder affecting tens of millions of people
worldwide and its cases are expected to triple by 2050. Alarmingly, recent advancements in …

[PDF][PDF] Improved Opinion Mining for Unstructured Data Using Machine Learning Enabling Business Intelligence

R Sharma, P Shrinath - Journal of Advances in Information Technology, 2023 - jait.us
There has been an exponential increase in usage of social informatics in recent years. This
makes opinion mining more complex, especially for unstructured data available online …

Security analysis of menstruation cycle tracking applications using static, dynamic and machine learning techniques

M Deverashetti, K Ranjitha, KV Pradeepthi - Journal of Information Security …, 2022 - Elsevier
There have been many incidents in the past, where user's private information, health and
vitals, shared to a mobile app have been disclosed. In this paper, we consider Menstruation …