Method for Detecting Latent Vulnerabilities at the Final Stage of Software Development

A method for detecting and eliminating latent vulnerabilities in mobile applications at the final stage of development is presented. The nature of such vulnerabilities is analyzed and existing methods for their identification and neutralization are considered. The developed method is based on the analysis of the application’s state at different points in time and comparison with the reference state. Includes recording the initial state, discrete analysis of its changes, detection and identification of vulnerabilities, and their elimination. The main area of the application of the method is to ensure the security of mobile applications in the late stages of development and during final testing. The findings of the study highlight the importance of early detection of latent vulnerabilities to ensure a high level of information security of the final software product.

Authors

Institutions

Publication Details

Journal
Automatic Control and Computer Sciences
Published
2025-12-01
DOI
https://doi.org/10.3103/s014641162570083x
Primary Topic
Mathematical Control Systems and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Method for Detecting Latent Vulnerabilities at the Final Stage of Software Development

A. S. Cherevan’, A. P. Lapsar’
Automatic Control and Computer Sciences
Mathematical Control Systems and Analysis
article

Method for Detecting Latent Vulnerabilities at the Final Stage of Software Development

A. S. Cherevan’, A. P. Lapsar’
article en

Abstract

A method for detecting and eliminating latent vulnerabilities in mobile applications at the final stage of development is presented. The nature of such vulnerabilities is analyzed and existing methods for their identification and neutralization are considered. The developed method is based on the analysis of the application’s state at different points in time and comparison with the reference state. Includes recording the initial state, discrete analysis of its changes, detection and identification of vulnerabilities, and their elimination. The main area of the application of the method is to ensure the security of mobile applications in the late stages of development and during final testing. The findings of the study highlight the importance of early detection of latent vulnerabilities to ensure a high level of information security of the final software product.

Automatic Control and Computer SciencesVol. 59(8)
Rostov State University of Economics (RU)
Openalex Percentile: Top 14%
Mathematical Control Systems and Analysis
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.