5 papers
Multi-Agent LLM-based Metamorphic Testing for REST APIs
Shehroz Khan, Abdullah Mughees, Gaadha Sudheerbabu +2
As REST APIs become an increasingly significant part of software systems, their validation is becoming more critical. Hence, testing and uncovering underlying issues are of utmost…
Multi-Agent Specification-based Metamorphic Testing of FMU-Based Simulations
Ashir Kulshreshtha, Abdullah Mughees, Gaadha Sudheerbabu +4
In many industrial domains, the Functional Mock-up Interface (FMI) is used to exchange simulation models as Functional Mock-up Units (FMUs) across different partners using various…
Using Large Language Models for Black-Box Testing of FMU-Based Simulations
Abdullah Mughees, Gaadha Sudheerbabu, Tanwir Ahmad +3
We propose a human in the loop approach for black-box testing of Functional Mock-up Units (FMUs) using Large Language Models (LLMs). The goal is to reduce the manual effort in defi…
A Two-phase Metamorphic Approach for Testing Industrial Control Systems
Gaadha Sudheerbabu, Tanwir Ahmad, Filip Sebek +3
We elaborate on a metamorphic approach for testing industrial control systems. The proposed approach consists of two phases: an exploration phase in which we learn about fault patt…
Early Detection of Network Attacks Using Deep Learning
Tanwir Ahmad, Dragos Truscan, Juri Vain +1
The Internet has become a prime subject to security attacks and intrusions by attackers. These attacks can lead to system malfunction, network breakdown, data corruption or theft.…