activity
20162026
most citedSTaleX: A Spatiotemporal-Aware Adaptive Auto-scaling Framework for Microservices

2 citations · 2 across the 7 of their papers we have counts for

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7 papers · 1 filter

cs.SE2026

Embedding Drift in Code Vulnerability Models Under Intended Behaviour-Preserving Transformations

Hasti Ghaneshirazi, Tahsin Reza, Ladan Tahvildari

Code edits that preserve program behaviour can shift frozen code embeddings across classifier decision boundaries, causing correctly detected vulnerabilities to be predicted as ben…

cs.SE2026

FASE: Fast Adaptive Semantic Entropy for Code Quality

Shizhe Lin, Ladan Tahvildari

Multi-agent code generation offers a promising paradigm for autonomous software development by simulating the human software engineering lifecycle. However, system reliability rema…

cs.SE2025

Key Considerations for Auto-Scaling: Lessons from Benchmark Microservices

Majid Dashtbani, Ladan Tahvildari

Microservices have become the dominant architectural paradigm for building scalable and modular cloud-native systems. However, achieving effective auto-scaling in such systems rema…

cs.SE2025

Beyond the Classroom: Bridging the Gap Between Academia and Industry with a Hands-on Learning Approach

Mingyang Xu, Ryan Zheng He Liu, Mark Stoodley +1

Modern software systems require various capabilities to meet architectural and operational demands, such as the ability to scale automatically and recover from sudden failures. Sel…

cs.SE2025★ 2 cited

STaleX: A Spatiotemporal-Aware Adaptive Auto-scaling Framework for Microservices

Majid Dashtbani, Ladan Tahvildari

While cloud environments and auto-scaling solutions have been widely applied to traditional monolithic applications, they face significant limitations when it comes to microservice…

cs.SE2024

FlaKat: A Machine Learning-Based Categorization Framework for Flaky Tests

Shizhe Lin, Ryan Zheng He Liu, Ladan Tahvildari

Flaky tests can pass or fail non-deterministically, without alterations to a software system. Such tests are frequently encountered by developers and hinder the credibility of test…

cs.SE2023

Using POMDP-based Approach to Address Uncertainty-Aware Adaptation for Self-Protecting Software

Ryan Liu, Ladan Tahvildari

The threats posed by evolving cyberattacks have led to increased research related to software systems that can self-protect. One topic in this domain is Moving Target Defense (MTD)…