Publications
Number of publications matching the search criterion: 26
Doctoral Thesis (1)
Intelligence-Driven Software Performance Assurance (May 2022) Mahshid Helali Moghadam
Licentiate Thesis (1)
Machine Learning-Assisted Performance Assurance (Jun 2020) Mahshid Helali Moghadam
Journal article (7)
Machine Learning Testing in an ADAS Case Study Using Simulation-Integrated Bio-Inspired Search-Based Testing (Jun 2023) Mahshid Helali Moghadam, Markus Borg , Mehrdad Saadatmand, Seyed Jalaleddin Mousavirad , Markus Bohlin, Björn Lisper Journal of Software: Evolution and Process (JSEP)
How effective are current population-based metaheuristic algorithms for variance-based multi-level image thresholding? (Apr 2023) Seyed Jalaleddin Mousavirad , Gerald Schaefer , Huiyu Zhou , Mahshid Helali Moghadam Knowledge-Based Systems (KBS)
Anomaly Detection Dataset for Industrial Control Systems (Apr 2023) Alireza Dehlaghi Ghadim, Mahshid Helali Moghadam, Ali Balador, Hans Hansson IEEE Access (IEEE Access 2023)
ICSSIM — A framework for building industrial control systems security testbeds (Mar 2023) Alireza Dehlaghi Ghadim, Ali Balador, Mahshid Helali Moghadam, Hans Hansson, Mauro Conti Computers in Industry (CompInd-Vol-123)
Towards a Verification-Driven Iterative Development of Software for Safety-Critical Cyber-Physical Systems (May 2021) Marjan Sirjani, Luciana Provenzano, Sara Abbaspour, Mahshid Helali Moghadam, Mehrdad Saadatmand Journal of Internet Services and Applications (JISA)
An Autonomous Performance Testing Framework using Self-Adaptive Fuzzy Reinforcement Learning (Mar 2021) Mahshid Helali Moghadam, Mehrdad Saadatmand, Markus Borg , Markus Bohlin, Björn Lisper Software Quality Journal (Springer) (SQJ)
Makespan reduction for dynamic workloads in cluster-based data grids using reinforcement-learning based scheduling (Jan 2018) Mahshid Helali Moghadam, Seyed Morteza Babamir Journal of Computational Science (J COMPUT SCI)
Conference/Workshop Paper (17)
Machine Learning-Driven Intrusion Detection and Identification in Industrial Control Systems Alireza Dehlaghi Ghadim, Mona Moslemzade , NIMA DHARMAPAL , Niclas Ericsson, Mahshid Helali Moghadam, Ali Balador, Hans Hansson 33rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP 2025) (PDP 2025)
Using Decision Support to Fortify Industrial Control System against Cyberattacks Alireza Dehlaghi Ghadim, Lars-Göran Magnusson , Niclas Ericsson, Mats Eriksson , Mahshid Helali Moghadam, Ali Balador, Hans Hansson IEEE International Conference on Emerging Technologies and Factory Automation 2024 (ETFA 2024)
Making Sense of Failure Logs in an Industrial DevOps Environment (Feb 2023) Muhammad Abbas Khan, Ali Hamayouni , Mahshid Helali Moghadam, Mehrdad Saadatmand, Per Erik Strandberg 20th International Conference on Information Technology : New Generations (ITNG 2023)
Efficient and Effective Generation of Test Cases for Pedestrian Detection – Search-based Software Testing of Baidu Apollo in SVL (Aug 2021) Hamid Ebadi , Mahshid Helali Moghadam, Markus Borg , Gregory Gay , Afonso Fontes , Kasper Socha The Third IEEE International Conference on Artificial Intelligence Testing (AITest'21)
A Population-Based Automatic Clustering Algorithm for Image Segmentation (Jul 2021) Seyed Jalaleddin Mousavirad , Gerald Schaefer , Mahshid Helali Moghadam, Mehrdad Saadatmand The Genetic and Evolutionary Computation Conference Companion 2021 (GECCOC 2021)
Performance Testing Using a Smart Reinforcement Learning-Driven Test Agent (Jul 2021) Mahshid Helali Moghadam, Golrokh Hamidi , Markus Borg , Mehrdad Saadatmand, Markus Bohlin, Björn Lisper, Pasqualina Potena 2021 IEEE Congress on Evolutionary Computation (IEEE CEC 2021)
Deeper at the SBST 2021 Tool Competition: ADAS Testing Using Multi-Objective Search (May 2021) Mahshid Helali Moghadam, Markus Borg , Seyed Jalaleddin Mousavirad 2021 IEEE/ACM 14th International Workshop on Search-Based Software Testing, Co-located with ICSE 2021 (SBST 2021)
Automated Performance Testing Based on Active Deep Learning (May 2021) Ali Sedaghatbaf, Mahshid Helali Moghadam, Mehrdad Saadatmand 2nd ACM/IEEE International Conference on Automation of Software Test (AST 2021)
Poster: Performance Testing Driven by Reinforcement Learning (Oct 2020) Mahshid Helali Moghadam, Mehrdad Saadatmand, Markus Borg , Markus Bohlin, Björn Lisper IEEE 13th International Conference on Software Testing, Validation and Verification (ICST2020)
From Requirements to Verifiable Executable Models using Rebeca (Sep 2020) Marjan Sirjani, Luciana Provenzano, Sara Abbaspour, Mahshid Helali Moghadam Software Engineering and Formal Methods Collocated Workshops 2020 (SEFMW 2020)
Machine Learning-Assisted Performance Testing (Aug 2019) Mahshid Helali Moghadam ESEC/FSE ACM Student Research Competition (ESEC/FSE SRC'19)
Machine Learning to Guide Performance Testing: An Autonomous Test Framework (Apr 2019) Mahshid Helali Moghadam, Mehrdad Saadatmand, Markus Borg , Markus Bohlin, Björn Lisper IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)
Adaptive Runtime Response Time Control in PLC-based Real-Time Systems using Reinforcement Learning (May 2018) Mahshid Helali Moghadam, Mehrdad Saadatmand, Markus Borg , Markus Bohlin, Björn Lisper 13th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 18)
Learning-based Response Time Analysis in Real-Time Embedded Systems: A Simulation-based Approach (May 2018) Mahshid Helali Moghadam, Mehrdad Saadatmand, Markus Borg , Markus Bohlin, Björn Lisper 1st International Workshop on Software Qualities and their Dependencies, located at the International Conference of Software Engineering (ICSE) 2018 (SQUADE'18)
Learning-Based Self-Adaptive Assurance of Timing Properties in a Real-Time Embedded System (Apr 2018) Mahshid Helali Moghadam, Mehrdad Saadatmand, Markus Borg , Markus Bohlin, Björn Lisper ICST Workshop on Testing Extra-Functional Properties and Quality Characteristics of Software Systems (ITEQS'18)
Adaptive Service Performance Control using Cooperative Fuzzy Reinforcement Learning in Virtualized Environments (Dec 2017) Olumuyiwa Ibidunmoye , Mahshid Helali Moghadam, Ewnetu Bayuh Lakew , Erik Elmroth 10th IEEE/ACM International Conference on Utility and Cloud Computing (UCC'17)
A Multi-Objective Optimization Model for Data-Intensive Workflow Scheduling in Data Grids (Nov 2016) Mahshid Helali Moghadam, Seyed Morteza Babamir , Meghdad Mirabi IEEE International LCN Workshop on Cloud-based Networks and Applications (IEEE CloudNA'16)
