activity
20192026
most citedModel Driven Engineering for Data Protection and Privacy: Application and Experience with GDPR

5 citations · 22 across the 33 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.SE2024★ 1 cited

Developing a Llama-Based Chatbot for CI/CD Question Answering: A Case Study at Ericsson

Daksh Chaudhary, Sri Lakshmi Vadlamani, Dimple Thomas +2

This paper presents our experience developing a Llama-based chatbot for question answering about continuous integration and continuous delivery (CI/CD) at Ericsson, a multinational…

cs.SE2024★ 2 cited

Requirements-driven Slicing of Simulink Models Using LLMs

Dipeeka Luitel, Shiva Nejati, Mehrdad Sabetzadeh

Model slicing is a useful technique for identifying a subset of a larger model that is relevant to fulfilling a given requirement. Notable applications of slicing include reducing…

cs.CR2024

Enhancing Automata Learning with Statistical Machine Learning: A Network Security Case Study

Negin Ayoughi, Shiva Nejati, Mehrdad Sabetzadeh +1

Intrusion detection systems are crucial for network security. Verification of these systems is complicated by various factors, including the heterogeneity of network platforms and…

cs.SE2024★ 3 cited

Rethinking Legal Compliance Automation: Opportunities with Large Language Models

Shabnam Hassani, Mehrdad Sabetzadeh, Daniel Amyot +1

As software-intensive systems face growing pressure to comply with laws and regulations, providing automated support for compliance analysis has become paramount. Despite advances…

cs.SE2024

A Lean Simulation Framework for Stress Testing IoT Cloud Systems

Jia Li, Behrad Moeini, Shiva Nejati +2

The Internet of Things connects a plethora of smart devices globally across various applications like smart cities, autonomous vehicles and health monitoring. Simulation plays a ke…

cs.DC2024★ 1 cited

Self-adaptive, Requirements-driven Autoscaling of Microservices

João Paulo Karol Santos Nunes, Shiva Nejati, Mehrdad Sabetzadeh +1

Microservices architecture offers various benefits, including granularity, flexibility, and scalability. A crucial feature of this architecture is the ability to autoscale microser…