Andriy V. Miranskyy

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 70

Top Topics

Software Engineering

Anomaly Detection

Top Venues

Publications

Andriy V. Miranskyy, Mushahid Khan, Udson C. Mendes
Comparing Algorithms for Loading Classical Datasets into Quantum Memory. CoRR (2024)
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
Challenges of Quantum Software Engineering for the Next Decade: The Road Ahead. CoRR (2024)
Lei Zhang, Sean Howard, Tom Montpool, Jessica Moore, Krittika Mahajan, Andriy V. Miranskyy
Automated data validation: An industrial experience report. J. Syst. Softw. 197 (2023)
Lei Zhang, Andriy V. Miranskyy, Walid Rjaibi, Greg Stager, Michael Gray, John Peck
Making existing software quantum safe: A case study on IBM Db2. Inf. Softw. Technol. 161 (2023)
Montgomery Gole, Williams Paul Nwadiugwu, Andriy V. Miranskyy
On Sarcasm Detection with OpenAI GPT-based Models. CoRR (2023)
Paolo Arcaini, Andriy V. Miranskyy
Report of the Fourth International Workshop on Quantum Software Engineering (Q-SE 2023). ACM SIGSOFT Softw. Eng. Notes 48 (4) (2023)
Lei Zhang, Mahsa Radnejad, Andriy V. Miranskyy
Identifying Flakiness in Quantum Programs. ESEM (2023)
William Pourmajidi, Lei Zhang, John Steinbacher, Tony Erwin, Andriy V. Miranskyy
Immutable Log Storage as a Service on Private and Public Blockchains. IEEE Trans. Serv. Comput. 16 (1) (2023)
Lei Zhang, Mahsa Radnejad, Andriy V. Miranskyy
Identifying Flakiness in Quantum Programs. CoRR (2023)
William Pourmajidi, Lei Zhang, John Steinbacher, Tony Erwin, Andriy V. Miranskyy
A Reference Architecture for Observability and Compliance of Cloud Native Applications. CoRR (2023)
Andriy V. Miranskyy, Mushahid Khan, Jean Paul Latyr Faye, Udson C. Mendes
Quantum computing for software engineering: prospects. QP4SE@ESEC/SIGSOFT FSE (2022)
Andriy V. Miranskyy
Using Quantum Computers to Speed Up Dynamic Testing of Software. CoRR (2022)
Andriy V. Miranskyy, Mushahid Khan, Jean Paul Latyr Faye, Udson C. Mendes
Quantum Computing for Software Engineering: Prospects. CoRR (2022)
Andriy V. Miranskyy
Using Quantum computers to speed up dynamic testing of software. QP4SE@ESEC/SIGSOFT FSE (2022)
Mushahid Khan, Jean Paul Latyr Faye, Udson C. Mendes, Andriy V. Miranskyy
EP-PQM: Efficient Parametric Probabilistic Quantum Memory with Fewer Qubits and Gates. CoRR (2022)
Jared Rand, Andriy V. Miranskyy
On Automatic Parsing of Log Records. CoRR (2021)
Shin Yoo, Aldeida Aleti, Burak Turhan, Leandro L. Minku, Andriy V. Miranskyy, Çetin Meriçli
The 8th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering. ACM SIGSOFT Softw. Eng. Notes 46 (1) (2021)
Lei Zhang, Andriy V. Miranskyy, Walid Rjaibi, Greg Stager, Michael Gray, John Peck
Making Existing Software Quantum Safe: Lessons Learned. CoRR (2021)
Andriy V. Miranskyy, Lei Zhang, Javad Doliskani
On Testing and Debugging Quantum Software. CoRR (2021)
Mushahid Khan, Andriy V. Miranskyy
String Comparison on a Quantum Computer Using Hamming Distance. CoRR (2021)
Lei Zhang, Andriy V. Miranskyy, Walid Rjaibi
Quantum Advantage and the Y2K Bug: A Comparison. IEEE Softw. 38 (2) (2021)
Jared Rand, Andriy V. Miranskyy
On Automatic Parsing of Log Records. ICSE (NIER) (2021)
Janusan Baskararajah, Lei Zhang, Andriy V. Miranskyy
Term Interrelations and Trends in Software Engineering. CoRR (2021)
Janusan Baskararajah, Lei Zhang, Andriy V. Miranskyy
Term interrelations and trends in software engineering. ESEC/SIGSOFT FSE (2021)
Mohammad Saiful Islam, William Pourmajidi, Lei Zhang, John Steinbacher, Tony Erwin, Andriy V. Miranskyy
Anomaly Detection in a Large-Scale Cloud Platform. ICSE (SEIP) (2021)
Mohammad Saiful Islam, Andriy V. Miranskyy
Anomaly Detection in Cloud Components. CLOUD (2020)
Mohammad Saiful Islam, Andriy V. Miranskyy
Anomaly Detection in Cloud Components. CoRR (2020)
Andriy V. Miranskyy, Lei Zhang, Javad Doliskani
Is Your Quantum Program Bug-Free? CoRR (2020)
Andriy V. Miranskyy, Lei Zhang, Javad Doliskani
Is your quantum program bug-free? ICSE (NIER) (2020)
William Pourmajidi, Lei Zhang, John Steinbacher, Tony Erwin, Andriy V. Miranskyy
Immutable Log Storage as a Service on Private and Public Blockchains. CoRR (2020)
Mohammad Saiful Islam, William Pourmajidi, Lei Zhang, John Steinbacher, Tony Erwin, Andriy V. Miranskyy
Anomaly Detection in a Large-scale Cloud Platform. CoRR (2020)
William Pourmajidi, Andriy V. Miranskyy, John Steinbacher, Tony Erwin, David Godwin
Dogfooding: use IBM Cloud services to monitor IBM Cloud infrastructure. CoRR (2019)
William Pourmajidi, Andriy V. Miranskyy, John Steinbacher, Tony Erwin, David Godwin
Dogfooding: using IBM cloud services to monitor IBM cloud infrastructure. CASCON (2019)
William Pourmajidi, Lei Zhang, John Steinbacher, Tony Erwin, Andriy V. Miranskyy
Immutable Log Storage as a Service. CoRR (2019)
Andriy V. Miranskyy, Lei Zhang
On testing quantum programs. ICSE (NIER) (2019)
William Pourmajidi, Lei Zhang, John Steinbacher, Tony Erwin, Andriy V. Miranskyy
Immutable log storage as a service. ICSE (Companion Volume) (2019)
Sravya Polisetty, Andriy V. Miranskyy, Ayse Bener
On Usefulness of the Deep-Learning-Based Bug Localization Models to Practitioners. CoRR (2019)
Nazim H. Madhavji, John Steinbacher, Andriy V. Miranskyy, Tony Erwin, Ahmed Ibrahim, Priyanka P. Naikade, William Pourmajidi, Lei Zhang, Yasmen Wahba
Taming services for IBM cloud. CASCON (2019)
Lei Zhang, Sean Howard, Tom Montpool, Jessica Moore, Krittika Mahajan, Andriy V. Miranskyy
RESTORE: Automated Regression Testing for Datasets. CoRR (2019)
Lei Zhang, Andriy V. Miranskyy, Walid Rjaibi
Quantum Advantage and Y2K Bug: Comparison. CoRR (2019)
Lei Zhang, Diego Lai, Andriy V. Miranskyy
The impact of position errors on crowd simulation. Simul. Model. Pract. Theory 90 (2019)
Sravya Polisetty, Andriy V. Miranskyy, Ayse Basar
On Usefulness of the Deep-Learning-Based Bug Localization Models to Practitioners. PROMISE (2019)
Mayy Habayeb, Syed Shariyar Murtaza, Andriy V. Miranskyy, Ayse Basar Bener
On the Use of Hidden Markov Model to Predict the Time to Fix Bugs. IEEE Trans. Software Eng. 44 (12) (2018)
William Pourmajidi, Andriy V. Miranskyy
Logchain: Blockchain-Assisted Log Storage. IEEE CLOUD (2018)
Sheik Hoque, Andriy V. Miranskyy
Architecture for Analysis of Streaming Data. CoRR (2018)
Mayy Habayeb, Syed Shariyar Murtaza, Andriy V. Miranskyy, Ayse Basar Bener
On the use of hidden Markov model to predict the time to fix bugs. ICSE (2018)
William Pourmajidi, John Steinbacher, Tony Erwin, Andriy V. Miranskyy
On Challenges of Cloud Monitoring. CoRR (2018)
Sedef Akinli Koçak, Gülfem Isiklar Alptekin, Andriy V. Miranskyy, Ayse Bener, Enzo Cialini
An Empirical Evaluation of Database Software Features on Energy Consumption. ICT4S (2018)
Sheik Hoque, Andriy V. Miranskyy
Online and Offline Analysis of Streaming Data. CoRR (2018)
Hongyu Zhang, Andriy V. Miranskyy, Ayse Basar Bener
Editorial: Special Section on Best Papers of PROMISE 2016. Inf. Softw. Technol. 95 (2018)
Andriy V. Miranskyy, Zainab Al-zanbouri, David Godwin, Ayse Basar Bener
Database engines: Evolution of greenness. J. Softw. Evol. Process. 30 (4) (2018)
Sheik Hoque, Andriy V. Miranskyy
Online and Offline Analysis of Streaming Data. ICSA Companion (2018)
William Pourmajidi, Andriy V. Miranskyy
Logchain: Blockchain-assisted Log Storage. CoRR (2018)
Andriy V. Miranskyy, Lei Zhang
On Testing Quantum Programs. CoRR (2018)
Mujahid Sultan, Andriy V. Miranskyy
Ordering stakeholder viewpoint concerns for holistic enterprise architecture: the W6H framework. SAC (2018)
Sheik Hoque, Andriy V. Miranskyy
Architecture for Analysis of Streaming Data. IC2E (2018)
Lei Zhang, Diego Lai, Andriy V. Miranskyy
The Impact of Position Errors on Crowd Simulation. CoRR (2018)
Mefta Sadat, Ayse Basar Bener, Andriy V. Miranskyy
Rediscovery datasets: connecting duplicate reports. MSR (2017)
William Pourmajidi, John Steinbacher, Tony Erwin, Andriy V. Miranskyy
On Challenges of Cloud Monitoring. CASCON (2017)
Parisa Lak, Can Kavaklioglu, Mefta Sadat, Martin Petitclerc, Graham Wills, Andriy V. Miranskyy, Ayse Basar Bener
A probabilistic approach for modelling user preferences in recommender systems: a case study on IBM watson analytics. CASCON (2017)
Domenic Curro, Konstantinos G. Derpanis, Andriy V. Miranskyy
Building Usage Profiles Using Deep Neural Nets. CoRR (2017)
Andriy V. Miranskyy, Zainab Al-zanbouri, David Godwin, Ayse Basar Bener
Database Engines: Evolution of Greenness. CoRR (2017)
Domenic Curro, Konstantinos G. Derpanis, Andriy V. Miranskyy
Building Usage Profiles Using Deep Neural Nets. ICSE-NIER (2017)
Mefta Sadat, Ayse Basar Bener, Andriy V. Miranskyy
Rediscovery Datasets: Connecting Duplicate Reports. CoRR (2017)
Sokratis Tsakiltsidis, Andriy V. Miranskyy, Elie Mazzawi
Towards Automated Performance Bug Identification in Python. CoRR (2016)
Sokratis Tsakiltsidis, Andriy V. Miranskyy, Elie Mazzawi
On Automatic Detection of Performance Bugs. ISSRE Workshops (2016)
Andriy V. Miranskyy, Abdelwahab Hamou-Lhadj, Enzo Cialini, Alf Larsson
Operational-Log Analysis for Big Data Systems: Challenges and Solutions. IEEE Softw. 33 (2) (2016)
Shirin Akbarinasaji, Behjat Soltanifar, Bora Çaglayan, Ayse Basar Bener, Andriy V. Miranskyy, Asli Filiz, Bryan M. Kramer, Ayse Tosun
A metric suite proposal for logical dependency. WETSoM@ICSE (2016)
Biruk K. Habtemariam, Andriy V. Miranskyy, Ali Miri, Saeed Samet, Matthew Davison
Privacy Preserving Predictive Analytics with Smart Meters. BigData Congress (2016)
Parisa Lak, Mefta Sadat, Carl Julien Barrelet, Martin Petitclerc, Andriy V. Miranskyy, Craig Statchuk, Ayse Basar Bener
Preliminary investigation on user interaction with IBM watson analytics. CASCON (2016)
Nazim H. Madhavji, Andriy V. Miranskyy, Kostas Kontogiannis
Big Picture of Big Data Software Engineering: With Example Research Challenges. BIGDSE@ICSE (2015)
Mujahid Sultan, Andriy V. Miranskyy
Ordering interrogative questions for effective requirements engineering: The W6H pattern. RePa@RE (2015)
Craig Statchuk, Nazim H. Madhavji, Andriy V. Miranskyy, Frank Dehne
Taming a Tiger: software engineering in the era of big data & continuous development. CASCON (2015)
Mayy Habayeb, Andriy V. Miranskyy, Syed Shariyar Murtaza, Leotis Buchanan, Ayse Bener
The Firefox Temporal Defect Dataset. MSR (2015)
Mujahid Sultan, Andriy V. Miranskyy
Ordering Interrogative Questions for Effective Requirements Engineering: The W6H Pattern. CoRR (2015)
Bora Caglayan, Burak Turhan, Ayse Basar Bener, Mayy Habayeb, Andriy V. Miranskyy, Enzo Cialini
Merits of Organizational Metrics in Defect Prediction: An Industrial Replication. ICSE (2) (2015)
Burak Turhan, Ayse Basar Bener, Rachel Harrison, Andriy V. Miranskyy, Çetin Meriçli, Leandro L. Minku
4th International Workshop on Realizing AI Synergies in Software Engineering (RAISE 2015). ICSE (2) (2015)
Bora Caglayan, Ayse Tosun Misirli, Ayse Basar Bener, Andriy V. Miranskyy
Predicting defective modules in different test phases. Softw. Qual. J. 23 (2) (2015)
Mujahid Sultan, Andriy V. Miranskyy
Ordering stakeholder viewpoint concerns for holistic and incremental Enterprise Architecture: the W6H framework. CoRR (2015)
Ayse Basar Bener, Andriy V. Miranskyy, Steve Raspudic
Deploying and Provisioning Green Software. IEEE Softw. 31 (3) (2014)
Andriy V. Miranskyy, Bora Caglayan, Ayse Bener, Enzo Cialini
Effect of temporal collaboration network, maintenance activity, and experience on defect exposure. ESEM (2014)
Bora Çaglayan, Ayse Basar Bener, Andriy V. Miranskyy
Factors affecting team evolution during software projects. CHASE (2014)
Ayse Basar Bener, Maurizio Morisio, Andriy V. Miranskyy
Green Software. IEEE Softw. 31 (3) (2014)
Bora Caglayan, Ayse Basar Bener, Andriy V. Miranskyy
Emergence of developer teams in the collaboration network. CHASE@ICSE (2013)
Andriy V. Miranskyy, Matthew Davison, R. Mark Reesor, Syed Shariyar Murtaza
Using entropy measures for comparison of software traces. Inf. Sci. 203 (2012)
Bora Caglayan, Ayse Tosun Misirli, Andriy V. Miranskyy, Burak Turhan, Ayse Bener
Factors characterizing reopened issues: a case study. PROMISE (2012)
Zude Li, Nazim H. Madhavji, Syed Shariyar Murtaza, Mechelle Gittens, Andriy V. Miranskyy, David Godwin, Enzo Cialini
Characteristics of multiple-component defects and architectural hotspots: a large system case study. Empir. Softw. Eng. 16 (5) (2011)
Ayse Tosun Misirli, Bora Çaglayan, Andriy V. Miranskyy, Ayse Bener, Nuzio Ruffolo
Different strokes for different folks: a case study on software metrics for different defect categories. WETSoM (2011)
Colin A. Taylor, Andriy V. Miranskyy, Nazim H. Madhavji
Request-implementation ratio as an indicator for requirements prioritisation imbalance. IWSPM (2011)
Andriy V. Miranskyy, Matthew Davison, Mark Reesor
Metrics of Risk Associated with Defects Rediscovery CoRR (2011)
Andriy V. Miranskyy, Matthew Davison, Mark Reesor, Syed Shariyar Murtaza
Using entropy measures for comparison of software traces CoRR (2010)
Bora Caglayan, Ayse Tosun, Andriy V. Miranskyy, Ayse Basar Bener, Nuzio Ruffolo
Usage of multiple prediction models based on defect categories. PROMISE (2010)
Andriy V. Miranskyy, Enzo Cialini, David Godwin
Selection of customers for operational and usage profiling. DBTest (2009)
Zude Li, Mechelle Gittens, Syed Shariyar Murtaza, Nazim H. Madhavji, Andriy V. Miranskyy, David Godwin, Enzo Cialini
Analysis of pervasive multiple-component defects in a large software system. ICSM (2009)
Colin A. Taylor, Mechelle Gittens, Andriy V. Miranskyy
A case study in database reliability: component types, usage profiles, and testing. DBTest (2008)
Andriy V. Miranskyy, Nazim H. Madhavji, Mechelle Gittens, Matthew Davison, Mark Wilding, David Godwin, Colin A. Taylor
SIFT: a scalable iterative-unfolding technique for filtering execution traces. CASCON (2008)
Andriy V. Miranskyy, Nazim H. Madhavji, Mechelle Gittens, Matthew Davison, Mark Wilding, David Godwin
An iterative, multi-level, and scalable approach to comparing execution traces. ESEC/SIGSOFT FSE (2007)
Nazim H. Madhavji, Mechelle Gittens, David Godwin, Andriy V. Miranskyy, Mark Wilding, Matthew Davison
An iterative, multi-level, and scalable approach to comparing execution traces. ESEC/SIGSOFT FSE (Companion) (2007)
Andriy V. Miranskyy, Nazim H. Madhavji, Matthew Davison, Mark Reesor
Modelling Assumptions and Requirements in the Context of Project Risk. RE (2005)