My publications by year
ESEM 2023
• L. Zhang, M. Radnejad and A. Miranskyy, Identifying flakiness in quantum programs. preprint
SEKE 2023
• K. V. Kher, M. Bharat Chandra, I. Joshi, L. Zhang, and M. V. P. Rao, Automatic diagnosis of quantum software bug-fix motifs.
Information and Software Technology
• L. Zhang, A. Miranskyy, W. Rjaibi, G. Stager, M. Gray, J. Peck, Making existing software quantum safe: a case study on IBM Db2, accepted. preprint
Transactions on Software Engineering
• W. Pourmajidi, L. Zhang, J. Steinbacher, T. Erwijn and A. Miranskyy, A reference architecture for observability and compliance of cloud native applications, under review. preprint
Journal of Systems and Software
• L. Zhang, S. Howard, T. Montpool, J. Moore, K. Mahajan and A. Miranskyy, Automated data validation: an industrial case study. link preprint
ESEC/FSE 2021
• J. Baskararajah, L. Zhang, A. Miranskyy, Term interrelations and trends in software engineering, accepted. preprint
Transactions on Software Engineering
• A. Miranskyy, L. Zhang, J. Doliskani, On testing and debugging quantum software, under review. preprint
Transactions on Services Computing
• W. Pourmajidi, L. Zhang, J. Steinbacher, T. Erwin and A. Miranskyy, Immutable log storage as a service on private and public blockchains, accepted. link preprint
ICSE 2021
• M. S. Islam, W. Pourmajidi, L. Zhang, J. Steinbacher, T. Erwin and A. Miranskyy, Anomaly detection in a large-scale cloud platform, accepted, ICSE 2021. link preprint
ICSE 2020
• A. Miranskyy, L. Zhang and J. Doliskani, Is your quantum program bug-free? ICSE 2020 (Distinguished Paper Award). link preprint
Journal of IEEE Software
• L. Zhang, A.V. Miranskyy and W. Rjaibi, Quantum advantage and Y2K bug: comparison, accepted by IEEE Software, 2020. preprint
KMDDIS 2020
• W. Pourmajidi, L. Zhang, A. Miranskyy, T. Erwin, D. Godwin and J. Steinbacher, The challenging landscape of cloud-monitoring, accepted in the book of “Knowledge Management in Development of Data-Intensive Systems”, 2020.
ICSE 2019
• A. Miranskyy and L. Zhang, On testing quantum programs, ICSE 2019. link preprint
ICSE 2019—Poster
• W. Pourmajidi, L. Zhang, J. Steinbacher, T. Erwin, and A. Miranskyy, Immutable log storage as a service, ICSE 2019. link
Journal of Simulation Modelling Practice and Theory
• L. Zhang, D. Lai and A.V. Miranskyy, The impact of position errors on crowd simulation, Journal of Simulation Modelling Practice and Theory, Vol. 90, 2019. link preprint dataset
Journal of Circuits, Systems, and Computers
• L. Zhang and D.G. Down, APEM – approximate performance evaluation for multi-core computers, Journal of Circuits, Systems, and Computers, 28(1), 2019. link preprint
Book of Systems Modeling: Methodologies and Tools
• L. Zhang and D.G. Down, SMVA: a stable mean value analysis algorithm for closed systems with load-dependent queues, Chapter 2, in the book of “Systems modeling: methodologies and tools”, EAI/Springer 2018. link preprint
VALUETOOLS 2016
• L. Zhang and D.G. Down, A stable mean value analysis algorithm for closed systems with load-dependent queues, VALUETOOLS 2016. link preprint
SPECTS 2015
• L. Zhang and D.G. Down, Approximate mean value analysis for multi-core systems, SPECTS 2015. link preprint
McMaster TechReport
• L. Zhang, I. Al-Azzoni and D.G. Down, PELE – an MVA-based performance evaluation methodology for computer system migration. Technical Report CAS-13-03-DD, McMaster University, 2013. preprint
ICPE 2011
• I. Al-Azzoni, L. Zhang, and D.G. Down, Performance evaluation for software migration, WOSP/SIPEW ICPE 2011. link preprint
• W. Pourmajidi, A.V. Miranskyy, L. Zhang, A. Erwin, D. Godwin, J. Steinbacher, Feedback-Based Automatic Anomaly Detection for Cloud Platforms, IPCOM 000260742D, 2019. IP publication.