2 citations · 2 across the 3 of their papers we have counts for
8 papers
An LSTM-based Plagiarism Detection via Attention Mechanism and a Population-based Approach for Pre-Training Parameters with imbalanced Classes
Seyed Vahid Moravvej, Seyed Jalaleddin Mousavirad, Mahshid Helali Moghadam +1
Plagiarism is one of the leading problems in academic and industrial environments, which its goal is to find the similar items in a typical document or source code. This paper prop…
An Enhanced Differential Evolution Algorithm Using a Novel Clustering-based Mutation Operator
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin +3
Differential evolution (DE) is an effective population-based metaheuristic algorithm for solving complex optimisation problems. However, the performance of DE is sensitive to the m…
Performance Testing Using a Smart Reinforcement Learning-Driven Test Agent
Mahshid Helali Moghadam, Golrokh Hamidi, Markus Borg +4
Performance testing with the aim of generating an efficient and effective workload to identify performance issues is challenging. Many of the automated approaches mainly rely on an…
Automated Performance Testing Based on Active Deep Learning
Ali Sedaghatbaf, Mahshid Helali Moghadam, Mehrdad Saadatmand
Generating tests that can reveal performance issues in large and complex software systems within a reasonable amount of time is a challenging task. On one hand, there are numerous…
An Autonomous Performance Testing Framework using Self-Adaptive Fuzzy Reinforcement Learning
Mahshid Helali Moghadam, Mehrdad Saadatmand, Markus Borg +2
Test automation brings the potential to reduce costs and human effort, but several aspects of software testing remain challenging to automate. One such example is automated perform…
A Two-Layer Component-Based Allocation for Embedded Systems with GPUs
Gabriel Campeanu, Mehrdad Saadatmand
Component-based development is a software engineering paradigm that can facilitate the construction of embedded systems and tackle its complexities. The modern embedded systems hav…