Andriy V. Miranskyy

According to our database, Andriy V. Miranskyy authored at least 75 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Prospects for Quantum Software Engineering in the Next Decade - Supplementary material.

Enrique Moguel, Juan Manuel Murillo, José García-Alonso, Johanna Barzen, Frank Leymann, Shaukat Ali, Tao Yue, Paolo Arcaini, Ricardo Pérez-Castillo, Ignacio García Rodríguez de Guzmán, Mario Piattini, Antonio Ruiz-Cortés, Antonio Brogi, Jianjun Zhao, Andriy V. Miranskyy, Manuel Wimmer

Dataset, March, 2024

Comparing Algorithms for Loading Classical Datasets into Quantum Memory.

Andriy V. Miranskyy, Mushahid Khan, Udson C. Mendes

CoRR, 2024

Challenges of Quantum Software Engineering for the Next Decade: The Road Ahead.

Juan Manuel Murillo, José García-Alonso, Enrique Moguel, Johanna Barzen, Frank Leymann, Shaukat Ali, Tao Yue, Paolo Arcaini, Ricardo Pérez, Ignacio García Rodríguez de Guzmán, Mario Piattini, Antonio Ruiz-Cortés, Antonio Brogi, Jianjun Zhao, Andriy V. Miranskyy, Manuel Wimmer

CoRR, 2024

2023

Report of the Fourth International Workshop on Quantum Software Engineering (Q-SE 2023).

Paolo Arcaini, Andriy V. Miranskyy

ACM SIGSOFT Softw. Eng. Notes, October, 2023

Immutable Log Storage as a Service on Private and Public Blockchains.

William Pourmajidi, Lei Zhang, John Steinbacher, Tony Erwin, Andriy V. Miranskyy

IEEE Trans. Serv. Comput., 2023

Automated data validation: An industrial experience report.

Lei Zhang, Sean Howard, Tom Montpool, Jessica Moore, Krittika Mahajan, Andriy V. Miranskyy

J. Syst. Softw., 2023

Making existing software quantum safe: A case study on IBM Db2.

Lei Zhang, Andriy V. Miranskyy, Walid Rjaibi, Greg Stager, Michael Gray, John Peck

Inf. Softw. Technol., 2023

On Sarcasm Detection with OpenAI GPT-based Models.

Montgomery Gole, Williams Paul Nwadiugwu, Andriy V. Miranskyy

CoRR, 2023

A Reference Architecture for Observability and Compliance of Cloud Native Applications.

William Pourmajidi, Lei Zhang, John Steinbacher, Tony Erwin, Andriy V. Miranskyy

CoRR, 2023

Identifying Flakiness in Quantum Programs.

Lei Zhang, Mahsa Radnejad, Andriy V. Miranskyy

Proceedings of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2023

2022

EP-PQM: Efficient Parametric Probabilistic Quantum Memory with Fewer Qubits and Gates.

Mushahid Khan, Jean Paul Latyr Faye, Udson C. Mendes, Andriy V. Miranskyy

CoRR, 2022

Quantum computing for software engineering: prospects.

Andriy V. Miranskyy, Mushahid Khan, Jean Paul Latyr Faye, Udson C. Mendes

Proceedings of the 1st International Workshop on Quantum Programming for Software Engineering, 2022

Using Quantum computers to speed up dynamic testing of software.

Andriy V. Miranskyy

Proceedings of the 1st International Workshop on Quantum Programming for Software Engineering, 2022

2021

Quantum Advantage and the Y2K Bug: A Comparison.

Lei Zhang, Andriy V. Miranskyy, Walid Rjaibi

IEEE Softw., 2021

The 8th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering.

Shin Yoo, Aldeida Aleti, Burak Turhan, Leandro L. Minku, Andriy V. Miranskyy, Çetin Meriçli

ACM SIGSOFT Softw. Eng. Notes, 2021

Making Existing Software Quantum Safe: Lessons Learned.

Lei Zhang, Andriy V. Miranskyy, Walid Rjaibi, Greg Stager, Michael Gray, John Peck

CoRR, 2021

String Comparison on a Quantum Computer Using Hamming Distance.

Mushahid Khan, Andriy V. Miranskyy

CoRR, 2021

On Testing and Debugging Quantum Software.

Andriy V. Miranskyy, Lei Zhang, Javad Doliskani

CoRR, 2021

Term interrelations and trends in software engineering.

Janusan Baskararajah, Lei Zhang, Andriy V. Miranskyy

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

On Automatic Parsing of Log Records.

Jared Rand, Andriy V. Miranskyy

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Results, 2021

Anomaly Detection in a Large-Scale Cloud Platform.

Mohammad Saiful Islam, William Pourmajidi, Lei Zhang, John Steinbacher, Tony Erwin, Andriy V. Miranskyy

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2021

2020

Is your quantum program bug-free?

Andriy V. Miranskyy, Lei Zhang, Javad Doliskani

Proceedings of the ICSE-NIER 2020: 42nd International Conference on Software Engineering, New Ideas and Emerging Results, Seoul, South Korea, 27 June, 2020

Anomaly Detection in Cloud Components.

Mohammad Saiful Islam, Andriy V. Miranskyy

Proceedings of the 13th IEEE International Conference on Cloud Computing, 2020

2019

The impact of position errors on crowd simulation.

Lei Zhang, Diego Lai, Andriy V. Miranskyy

Simul. Model. Pract. Theory, 2019

Dogfooding: use IBM Cloud services to monitor IBM Cloud infrastructure.

William Pourmajidi, Andriy V. Miranskyy, John Steinbacher, Tony Erwin, David Godwin

CoRR, 2019

RESTORE: Automated Regression Testing for Datasets.

Lei Zhang, Sean Howard, Tom Montpool, Jessica Moore, Krittika Mahajan, Andriy V. Miranskyy

CoRR, 2019

On Usefulness of the Deep-Learning-Based Bug Localization Models to Practitioners.

Sravya Polisetty, Andriy V. Miranskyy, Ayse Basar

Proceedings of the Fifteenth International Conference on Predictive Models and Data Analytics in Software Engineering, 2019

Immutable log storage as a service.

William Pourmajidi, Lei Zhang, John Steinbacher, Tony Erwin, Andriy V. Miranskyy

Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings, 2019

On testing quantum programs.

Andriy V. Miranskyy, Lei Zhang

Proceedings of the 41st International Conference on Software Engineering: New Ideas and Emerging Results, 2019

Dogfooding: using IBM cloud services to monitor IBM cloud infrastructure.

William Pourmajidi, Andriy V. Miranskyy, John Steinbacher, Tony Erwin, David Godwin

Proceedings of the 29th Annual International Conference on Computer Science and Software Engineering, 2019

Taming services for IBM cloud.

Nazim H. Madhavji, John Steinbacher, Andriy V. Miranskyy, Tony Erwin, Ahmed Ibrahim, Priyanka P. Naikade, William Pourmajidi, Lei Zhang, Yasmen Wahba

Proceedings of the 29th Annual International Conference on Computer Science and Software Engineering, 2019

2018

On the Use of Hidden Markov Model to Predict the Time to Fix Bugs.

Mayy Habayeb, Syed Shariyar Murtaza, Andriy V. Miranskyy, Ayse Basar Bener

IEEE Trans. Software Eng., 2018

Database engines: Evolution of greenness.

Andriy V. Miranskyy, Zainab Al-zanbouri, David Godwin, Ayse Basar Bener

J. Softw. Evol. Process., 2018

Editorial: Special Section on Best Papers of PROMISE 2016.

Hongyu Zhang, Andriy V. Miranskyy, Ayse Basar Bener

Inf. Softw. Technol., 2018

Ordering stakeholder viewpoint concerns for holistic enterprise architecture: the W6H framework.

Mujahid Sultan, Andriy V. Miranskyy

Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

An Empirical Evaluation of Database Software Features on Energy Consumption.

Sedef Akinli Koçak, Gülfem Isiklar Alptekin, Andriy V. Miranskyy, Ayse Bener, Enzo Cialini

Proceedings of the 5th International Conference on Information and Communication Technology for Sustainability, 2018

Online and Offline Analysis of Streaming Data.

Sheik Hoque, Andriy V. Miranskyy

Proceedings of the 2018 IEEE International Conference on Software Architecture Companion, 2018

Architecture for Analysis of Streaming Data.

Sheik Hoque, Andriy V. Miranskyy

Proceedings of the 2018 IEEE International Conference on Cloud Engineering, 2018

Logchain: Blockchain-Assisted Log Storage.

William Pourmajidi, Andriy V. Miranskyy

Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2017

Rediscovery datasets: connecting duplicate reports.

Mefta Sadat, Ayse Basar Bener, Andriy V. Miranskyy

Proceedings of the 14th International Conference on Mining Software Repositories, 2017

Building Usage Profiles Using Deep Neural Nets.

Domenic Curro, Konstantinos G. Derpanis, Andriy V. Miranskyy

Proceedings of the 39th IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Technologies Results Track, 2017

On Challenges of Cloud Monitoring.

William Pourmajidi, John Steinbacher, Tony Erwin, Andriy V. Miranskyy

Proceedings of the 27th Annual International Conference on Computer Science and Software Engineering, 2017

A probabilistic approach for modelling user preferences in recommender systems: a case study on IBM watson analytics.

Parisa Lak, Can Kavaklioglu, Mefta Sadat, Martin Petitclerc, Graham J. Wills, Andriy V. Miranskyy, Ayse Basar Bener

Proceedings of the 27th Annual International Conference on Computer Science and Software Engineering, 2017

2016

Operational-Log Analysis for Big Data Systems: Challenges and Solutions.

Andriy V. Miranskyy, Abdelwahab Hamou-Lhadj, Enzo Cialini, Alf Larsson

IEEE Softw., 2016

Towards Automated Performance Bug Identification in Python.

Sokratis Tsakiltsidis, Andriy V. Miranskyy, Elie Mazzawi

CoRR, 2016

On Automatic Detection of Performance Bugs.

Sokratis Tsakiltsidis, Andriy V. Miranskyy, Elie Mazzawi

Proceedings of the 2016 IEEE International Symposium on Software Reliability Engineering Workshops, 2016

A metric suite proposal for logical dependency.

Shirin Akbarinasaji, Behjat Soltanifar, Bora Çaglayan, Ayse Basar Bener, Andriy V. Miranskyy, Asli Filiz, Bryan M. Kramer, Ayse Tosun

Proceedings of the 7th International Workshop on Emerging Trends in Software Metrics, 2016

Preliminary investigation on user interaction with IBM watson analytics.

Parisa Lak, Mefta Sadat, Carl Julien Barrelet, Martin Petitclerc, Andriy V. Miranskyy, Craig Statchuk, Ayse Basar Bener

Proceedings of the 26th Annual International Conference on Computer Science and Software Engineering, 2016

Privacy Preserving Predictive Analytics with Smart Meters.

Biruk K. Habtemariam, Andriy V. Miranskyy, Ali Miri, Saeed Samet, Matthew Davison

Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016

2015

Predicting defective modules in different test phases.

Bora Caglayan, Ayse Tosun Misirli, Ayse Basar Bener, Andriy V. Miranskyy

Softw. Qual. J., 2015

Ordering stakeholder viewpoint concerns for holistic and incremental Enterprise Architecture: the W6H framework.

Mujahid Sultan, Andriy V. Miranskyy

CoRR, 2015

Ordering interrogative questions for effective requirements engineering: The W6H pattern.

Mujahid Sultan, Andriy V. Miranskyy

Proceedings of the Fifth IEEE International Workshop on Requirements Patterns, 2015

The Firefox Temporal Defect Dataset.

Mayy Habayeb, Andriy V. Miranskyy, Syed Shariyar Murtaza, Leotis Buchanan, Ayse Bener

Proceedings of the 12th IEEE/ACM Working Conference on Mining Software Repositories, 2015

4th International Workshop on Realizing AI Synergies in Software Engineering (RAISE 2015).

Burak Turhan, Ayse Basar Bener, Rachel Harrison, Andriy V. Miranskyy, Çetin Meriçli, Leandro L. Minku

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

Big Picture of Big Data Software Engineering: With Example Research Challenges.

Nazim H. Madhavji, Andriy V. Miranskyy, Kostas Kontogiannis

Proceedings of the 1st IEEE/ACM International Workshop on Big Data Software Engineering, 2015

Merits of Organizational Metrics in Defect Prediction: An Industrial Replication.

Bora Caglayan, Burak Turhan, Ayse Basar Bener, Mayy Habayeb, Andriy V. Miranskyy, Enzo Cialini

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

Taming a Tiger: software engineering in the era of big data & continuous development.

Craig Statchuk, Nazim H. Madhavji, Andriy V. Miranskyy, Frank Dehne

Proceedings of 25th Annual International Conference on Computer Science and Software Engineering, 2015

2014

Deploying and Provisioning Green Software.

Ayse Basar Bener, Andriy V. Miranskyy, Steve Raspudic

IEEE Softw., 2014

Green Software.

Ayse Basar Bener, Maurizio Morisio, Andriy V. Miranskyy

IEEE Softw., 2014

Factors affecting team evolution during software projects.

Bora Çaglayan, Ayse Basar Bener, Andriy V. Miranskyy

Proceedings of the 7th International Workshop on Cooperative and Human Aspects of Software Engineering, 2014

Effect of temporal collaboration network, maintenance activity, and experience on defect exposure.

Andriy V. Miranskyy, Bora Caglayan, Ayse Bener, Enzo Cialini

Proceedings of the 2014 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement, 2014

2013

Emergence of developer teams in the collaboration network.

Bora Caglayan, Ayse Basar Bener, Andriy V. Miranskyy

Proceedings of the 6th International Workshop on Cooperative and Human Aspects of Software Engineering, 2013

2012

Using entropy measures for comparison of software traces.

Andriy V. Miranskyy, Matthew Davison, R. Mark Reesor, Syed Shariyar Murtaza

Inf. Sci., 2012

Factors characterizing reopened issues: a case study.

Bora Caglayan, Ayse Tosun Misirli, Andriy V. Miranskyy, Burak Turhan, Ayse Bener

Proceedings of the 8th International Conference on Predictive Models in Software Engineering, 2012

2011

Characteristics of multiple-component defects and architectural hotspots: a large system case study.

Zude Li, Nazim H. Madhavji, Syed Shariyar Murtaza, Mechelle Gittens, Andriy V. Miranskyy, David Godwin, Enzo Cialini

Empir. Softw. Eng., 2011

Metrics of Risk Associated with Defects Rediscovery

Andriy V. Miranskyy, Matthew Davison, Mark Reesor

CoRR, 2011

Request-implementation ratio as an indicator for requirements prioritisation imbalance.

Colin A. Taylor, Andriy V. Miranskyy, Nazim H. Madhavji

Proceedings of the 5th International Workshop on Software Product Management, 2011

Different strokes for different folks: a case study on software metrics for different defect categories.

Ayse Tosun Misirli, Bora Çaglayan, Andriy V. Miranskyy, Ayse Bener, Nuzio Ruffolo

Proceedings of the 2nd International Workshop on Emerging Trends in Software Metrics, 2011

2010

Usage of multiple prediction models based on defect categories.

Bora Caglayan, Ayse Tosun, Andriy V. Miranskyy, Ayse Basar Bener, Nuzio Ruffolo

Proceedings of the 6th International Conference on Predictive Models in Software Engineering, 2010

2009

Selection of customers for operational and usage profiling.

Andriy V. Miranskyy, Enzo Cialini, David Godwin

Proceedings of the 2nd International Workshop on Testing Database Systems, 2009

Analysis of pervasive multiple-component defects in a large software system.

Zude Li, Mechelle Gittens, Syed Shariyar Murtaza, Nazim H. Madhavji, Andriy V. Miranskyy, David Godwin, Enzo Cialini

Proceedings of the 25th IEEE International Conference on Software Maintenance (ICSM 2009), 2009

2008

A case study in database reliability: component types, usage profiles, and testing.

Colin A. Taylor, Mechelle Gittens, Andriy V. Miranskyy

Proceedings of the 1st International Workshop on Testing Database Systems, 2008

SIFT: a scalable iterative-unfolding technique for filtering execution traces.

Andriy V. Miranskyy, Nazim H. Madhavji, Mechelle Gittens, Matthew Davison, Mark Wilding, David Godwin, Colin A. Taylor

Proceedings of the 2008 conference of the Centre for Advanced Studies on Collaborative Research, 2008

2007

An iterative, multi-level, and scalable approach to comparing execution traces.

Andriy V. Miranskyy, Nazim H. Madhavji, Mechelle Gittens, Matthew Davison, Mark Wilding, David Godwin

Proceedings of the 6th joint meeting of the European Software Engineering Conference and the ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2007

2005

Modelling Assumptions and Requirements in the Context of Project Risk.

Andriy V. Miranskyy, Nazim H. Madhavji, Matthew Davison, Mark Reesor

Proceedings of the 13th IEEE International Conference on Requirements Engineering (RE 2005), 29 August, 2005