Andriy V. Miranskyy

126 papers A* 1A 5B 3Misc 3Journal 73Unranked 39

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Course on the Introduction to Quantum Software Engineering: Experience Report. CoRR Andriy V. Miranskyy
2026	J	`jnl`	Automating Detection and Root-Cause Analysis of Flaky Tests in Quantum Software. CoRR Janakan Sivaloganathan, Ainaz Jamshidi, Andriy V. Miranskyy, Lei Zhang
2026	J	`jnl`	Benchmarking Anomaly Detection Across Heterogeneous Cloud Telemetry Datasets. CoRR Mohammad Saiful Islam, Andriy V. Miranskyy
2026	J	`jnl`	On Sequence-to-Sequence Models for Automated Log Parsing. CoRR Adam Sorrenti, Andriy V. Miranskyy
2026	J	`jnl`	Software Testing in the Quantum World. Computer Rui Abreu, Shaukat Ali, Paolo Arcaini, José Campos, Michael Felderer, Claude Gravel, Fuyuki Ishikawa, Stefan Klikovits, Andriy V. Miranskyy, Anila Mjeda, Mohammad Reza Mousavi, Masaomi Yamaguchi, Lei Zhang, Jianjun Zhao
2025	J	`jnl`	A Reference Architecture for Governance of Cloud Native Applications. IEEE Trans. Cloud Comput. William Pourmajidi, Lei Zhang, John Steinbacher, Tony Erwin, Andriy V. Miranskyy
2025	—	`conf`	Anomaly Detection in Large-Scale Cloud Systems: An Industry Case and Dataset. SEIP@ICSE Mohammad Saiful Islam, Mohamed Sami Rakha, William Pourmajidi, Janakan Sivaloganathan, John Steinbacher, Andriy V. Miranskyy
2025	J	`jnl`	Assessing how hyperparameters impact Large Language Models' sarcasm detection performance. CoRR Montgomery Gole, Andriy V. Miranskyy
2025	—	`conf`	CloudHeatMap: Heatmap-Based Monitoring for Large-Scale Cloud Systems. SIGSOFT FSE Companion Sarah Sohana, William Pourmajidi, John Steinbacher, Andriy V. Miranskyy
2025	J	`jnl`	Contrasting the Hyperparameter Tuning Impact Across Software Defect Prediction Scenarios. CoRR Mohamed Sami Rakha, Andriy V. Miranskyy, Daniel Alencar da Costa
2025	J	`jnl`	Contrasting the Hyperparameter Tuning Impact Across Software Defect Prediction Scenarios. IEEE Trans. Software Eng. Mohamed Sami Rakha, Andriy V. Miranskyy, Daniel Alencar da Costa
2025	J	`jnl`	Detecting Flaky Tests in Quantum Software: A Dynamic Approach. CoRR Dongchan Kim, Hamidreza Khoramrokh, Lei Zhang, Andriy V. Miranskyy
2025	J	`jnl`	Introduction to the Special Section on software engineering for hybrid quantum computing systems. J. Syst. Softw. Paolo Arcaini, Andriy V. Miranskyy, Hausi A. Müller
2025	J	`jnl`	Lock Prediction for Zero-Downtime Database Encryption. CoRR Mohamed Sami Rakha, Adam Sorrenti, Greg Stager, Walid Rjaibi, Andriy V. Miranskyy
2025	J	`jnl`	On the Feasibility of Quantum Unit Testing. CoRR Andriy V. Miranskyy, José Campos, Anila Mjeda, Lei Zhang, Ignacio García Rodríguez de Guzmán
2025	—	`conf`	QSpark : Towards Reliable Qiskit Code Generation. AIQxQIA@ECAI Kiana Kheiri, Aamna Aamir, Andriy V. Miranskyy, Chen Ding
2025	J	`jnl`	QSpark: Towards Reliable Qiskit Code Generation. CoRR Kiana Kheiri, Aamna Aamir, Andriy V. Miranskyy, Chen Ding
2025	J	`jnl`	Quantum Software Engineering: Roadmap and Challenges Ahead. ACM Trans. Softw. Eng. Methodol. Juan Manuel Murillo, José García-Alonso, Enrique Moguel, 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
2025	J	`jnl`	The Cost of Certainty: Shot Budgets in Quantum Program Testing. CoRR Andriy V. Miranskyy
2024	J	`jnl`	Anomaly Detection in Large-Scale Cloud Systems: An Industry Case and Dataset. CoRR Mohammad Saiful Islam, Mohamed Sami Rakha, William Pourmajidi, Janakan Sivaloganathan, John Steinbacher, Andriy V. Miranskyy
2024	Misc	`conf`	Automated Flakiness Detection in Quantum Software Bug Reports. QCE Lei Zhang, Andriy V. Miranskyy
2024	J	`jnl`	Automated flakiness detection in quantum software bug reports. CoRR Lei Zhang, Andriy V. Miranskyy
2024	J	`jnl`	Automating Quantum Software Maintenance: Flakiness Detection and Root Cause Analysis. CoRR Janakan Sivaloganathan, Ainaz Jamshidi, Andriy V. Miranskyy, Lei Zhang
2024	J	`jnl`	Challenges of Quantum Software Engineering for the Next Decade: The Road Ahead. CoRR Juan Manuel Murillo, José García-Alonso, Enrique Moguel, 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
2024	J	`jnl`	CloudHeatMap: Heatmap-Based Monitoring for Large-Scale Cloud Systems. CoRR Sarah Sohana, William Pourmajidi, John Steinbacher, Andriy V. Miranskyy
2024	Misc	`conf`	Comparing Algorithms for Loading Classical Datasets into Quantum Memory. QCE Andriy V. Miranskyy, Mushahid Khan, Udson C. Mendes
2024	J	`jnl`	Comparing Algorithms for Loading Classical Datasets into Quantum Memory. CoRR Andriy V. Miranskyy, Mushahid Khan, Udson C. Mendes
2024	J	`jnl`	On Using Quasirandom Sequences in Machine Learning for Model Weight Initialization. CoRR Andriy V. Miranskyy, Adam Sorrenti, Viral Thakar
2023	J	`jnl`	A Reference Architecture for Observability and Compliance of Cloud Native Applications. CoRR William Pourmajidi, Lei Zhang, John Steinbacher, Tony Erwin, Andriy V. Miranskyy
2023	J	`jnl`	Automated data validation: An industrial experience report. J. Syst. Softw. Lei Zhang, Sean Howard, Tom Montpool, Jessica Moore, Krittika Mahajan, Andriy V. Miranskyy
2023	A	`conf`	Identifying Flakiness in Quantum Programs. ESEM Lei Zhang, Mahsa Radnejad, Andriy V. Miranskyy
2023	J	`jnl`	Identifying Flakiness in Quantum Programs. CoRR Lei Zhang, Mahsa Radnejad, Andriy V. Miranskyy
2023	J	`jnl`	Immutable Log Storage as a Service on Private and Public Blockchains. IEEE Trans. Serv. Comput. William Pourmajidi, Lei Zhang, John Steinbacher, Tony Erwin, Andriy V. Miranskyy
2023	J	`jnl`	Making existing software quantum safe: A case study on IBM Db2. Inf. Softw. Technol. Lei Zhang, Andriy V. Miranskyy, Walid Rjaibi, Greg Stager, Michael Gray, John Peck
2023	J	`jnl`	On Sarcasm Detection with OpenAI GPT-based Models. CoRR Montgomery Gole, Williams Paul Nwadiugwu, Andriy V. Miranskyy
2023	J	`jnl`	Report of the Fourth International Workshop on Quantum Software Engineering (Q-SE 2023). ACM SIGSOFT Softw. Eng. Notes Paolo Arcaini, Andriy V. Miranskyy
2022	J	`jnl`	EP-PQM: Efficient Parametric Probabilistic Quantum Memory with Fewer Qubits and Gates. CoRR Mushahid Khan, Jean Paul Latyr Faye, Udson C. Mendes, Andriy V. Miranskyy
2022	J	`jnl`	Quantum Computing for Software Engineering: Prospects. CoRR Andriy V. Miranskyy, Mushahid Khan, Jean Paul Latyr Faye, Udson C. Mendes
2022	—	`conf`	Quantum computing for software engineering: prospects. QP4SE@ESEC/SIGSOFT FSE Andriy V. Miranskyy, Mushahid Khan, Jean Paul Latyr Faye, Udson C. Mendes
2022	J	`jnl`	Using Quantum Computers to Speed Up Dynamic Testing of Software. CoRR Andriy V. Miranskyy
2022	—	`conf`	Using Quantum computers to speed up dynamic testing of software. QP4SE@ESEC/SIGSOFT FSE Andriy V. Miranskyy
2021	—	`conf`	Anomaly Detection in a Large-Scale Cloud Platform. ICSE (SEIP) Mohammad Saiful Islam, William Pourmajidi, Lei Zhang, John Steinbacher, Tony Erwin, Andriy V. Miranskyy
2021	J	`jnl`	Making Existing Software Quantum Safe: Lessons Learned. CoRR Lei Zhang, Andriy V. Miranskyy, Walid Rjaibi, Greg Stager, Michael Gray, John Peck
2021	—	`conf`	On Automatic Parsing of Log Records. ICSE (NIER) Jared Rand, Andriy V. Miranskyy
2021	J	`jnl`	On Automatic Parsing of Log Records. CoRR Jared Rand, Andriy V. Miranskyy
2021	J	`jnl`	On Testing and Debugging Quantum Software. CoRR Andriy V. Miranskyy, Lei Zhang, Javad Doliskani
2021	J	`jnl`	Quantum Advantage and the Y2K Bug: A Comparison. IEEE Softw. Lei Zhang, Andriy V. Miranskyy, Walid Rjaibi
2021	J	`jnl`	String Comparison on a Quantum Computer Using Hamming Distance. CoRR Mushahid Khan, Andriy V. Miranskyy
2021	J	`jnl`	Term Interrelations and Trends in Software Engineering. CoRR Janusan Baskararajah, Lei Zhang, Andriy V. Miranskyy
2021	—	`conf`	Term interrelations and trends in software engineering. ESEC/SIGSOFT FSE Janusan Baskararajah, Lei Zhang, Andriy V. Miranskyy
2021	J	`jnl`	The 8th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering. ACM SIGSOFT Softw. Eng. Notes Shin Yoo, Aldeida Aleti, Burak Turhan, Leandro L. Minku, Andriy V. Miranskyy, Çetin Meriçli
2020	B	`conf`	Anomaly Detection in Cloud Components. CLOUD Mohammad Saiful Islam, Andriy V. Miranskyy
2020	J	`jnl`	Anomaly Detection in Cloud Components. CoRR Mohammad Saiful Islam, Andriy V. Miranskyy
2020	J	`jnl`	Anomaly Detection in a Large-scale Cloud Platform. CoRR Mohammad Saiful Islam, William Pourmajidi, Lei Zhang, John Steinbacher, Tony Erwin, Andriy V. Miranskyy
2020	J	`jnl`	Immutable Log Storage as a Service on Private and Public Blockchains. CoRR William Pourmajidi, Lei Zhang, John Steinbacher, Tony Erwin, Andriy V. Miranskyy
2020	J	`jnl`	Is Your Quantum Program Bug-Free? CoRR Andriy V. Miranskyy, Lei Zhang, Javad Doliskani
2020	—	`conf`	Is your quantum program bug-free? ICSE (NIER) Andriy V. Miranskyy, Lei Zhang, Javad Doliskani
2019	J	`jnl`	Dogfooding: use IBM Cloud services to monitor IBM Cloud infrastructure. CoRR William Pourmajidi, Andriy V. Miranskyy, John Steinbacher, Tony Erwin, David Godwin
2019	—	`conf`	Dogfooding: using IBM cloud services to monitor IBM cloud infrastructure. CASCON William Pourmajidi, Andriy V. Miranskyy, John Steinbacher, Tony Erwin, David Godwin
2019	J	`jnl`	Immutable Log Storage as a Service. CoRR William Pourmajidi, Lei Zhang, John Steinbacher, Tony Erwin, Andriy V. Miranskyy
2019	—	`conf`	Immutable log storage as a service. ICSE (Companion Volume) William Pourmajidi, Lei Zhang, John Steinbacher, Tony Erwin, Andriy V. Miranskyy
2019	—	`conf`	On Usefulness of the Deep-Learning-Based Bug Localization Models to Practitioners. PROMISE Sravya Polisetty, Andriy V. Miranskyy, Ayse Basar
2019	J	`jnl`	On Usefulness of the Deep-Learning-Based Bug Localization Models to Practitioners. CoRR Sravya Polisetty, Andriy V. Miranskyy, Ayse Bener
2019	—	`conf`	On testing quantum programs. ICSE (NIER) Andriy V. Miranskyy, Lei Zhang
2019	J	`jnl`	Quantum Advantage and Y2K Bug: Comparison. CoRR Lei Zhang, Andriy V. Miranskyy, Walid Rjaibi
2019	J	`jnl`	RESTORE: Automated Regression Testing for Datasets. CoRR Lei Zhang, Sean Howard, Tom Montpool, Jessica Moore, Krittika Mahajan, Andriy V. Miranskyy
2019	—	`conf`	Taming services for IBM cloud. CASCON Nazim H. Madhavji, John Steinbacher, Andriy V. Miranskyy, Tony Erwin, Ahmed Ibrahim, Priyanka P. Naikade, William Pourmajidi, Lei Zhang, Yasmen Wahba
2019	J	`jnl`	The impact of position errors on crowd simulation. Simul. Model. Pract. Theory Lei Zhang, Diego Lai, Andriy V. Miranskyy
2018	—	`conf`	An Empirical Evaluation of Database Software Features on Energy Consumption. ICT4S Sedef Akinli Koçak, Gülfem Isiklar Alptekin, Andriy V. Miranskyy, Ayse Bener, Enzo Cialini
2018	B	`conf`	Architecture for Analysis of Streaming Data. IC2E Sheik Hoque, Andriy V. Miranskyy
2018	J	`jnl`	Architecture for Analysis of Streaming Data. CoRR Sheik Hoque, Andriy V. Miranskyy
2018	J	`jnl`	Database engines: Evolution of greenness. J. Softw. Evol. Process. Andriy V. Miranskyy, Zainab Al-Zanbouri, David Godwin, Ayse Basar Bener
2018	J	`jnl`	Editorial: Special Section on Best Papers of PROMISE 2016. Inf. Softw. Technol. Hongyu Zhang, Andriy V. Miranskyy, Ayse Basar Bener
2018	—	`conf`	Logchain: Blockchain-Assisted Log Storage. IEEE CLOUD William Pourmajidi, Andriy V. Miranskyy
2018	J	`jnl`	Logchain: Blockchain-assisted Log Storage. CoRR William Pourmajidi, Andriy V. Miranskyy
2018	J	`jnl`	On Challenges of Cloud Monitoring. CoRR William Pourmajidi, John Steinbacher, Tony Erwin, Andriy V. Miranskyy
2018	J	`jnl`	On Testing Quantum Programs. CoRR Andriy V. Miranskyy, Lei Zhang
2018	J	`jnl`	On the Use of Hidden Markov Model to Predict the Time to Fix Bugs. IEEE Trans. Software Eng. Mayy Habayeb, Syed Shariyar Murtaza, Andriy V. Miranskyy, Ayse Basar Bener
2018	A*	`conf`	On the use of hidden Markov model to predict the time to fix bugs. ICSE Mayy Habayeb, Syed Shariyar Murtaza, Andriy V. Miranskyy, Ayse Basar Bener
2018	—	`conf`	Online and Offline Analysis of Streaming Data. ICSA Companion Sheik Hoque, Andriy V. Miranskyy
2018	J	`jnl`	Online and Offline Analysis of Streaming Data. CoRR Sheik Hoque, Andriy V. Miranskyy
2018	Misc	`conf`	Ordering stakeholder viewpoint concerns for holistic enterprise architecture: the W6H framework. SAC Mujahid Sultan, Andriy V. Miranskyy
2018	J	`jnl`	The Impact of Position Errors on Crowd Simulation. CoRR Lei Zhang, Diego Lai, Andriy V. Miranskyy
2017	—	`conf`	A probabilistic approach for modelling user preferences in recommender systems: a case study on IBM watson analytics. CASCON Parisa Lak, Can Kavaklioglu, Mefta Sadat, Martin Petitclerc, Graham J. Wills, Andriy V. Miranskyy, Ayse Basar Bener
2017	—	`conf`	Building Usage Profiles Using Deep Neural Nets. ICSE-NIER Domenic Curro, Konstantinos G. Derpanis, Andriy V. Miranskyy
2017	J	`jnl`	Building Usage Profiles Using Deep Neural Nets. CoRR Domenic Curro, Konstantinos G. Derpanis, Andriy V. Miranskyy
2017	J	`jnl`	Database Engines: Evolution of Greenness. CoRR Andriy V. Miranskyy, Zainab Al-Zanbouri, David Godwin, Ayse Basar Bener
2017	—	`conf`	On Challenges of Cloud Monitoring. CASCON William Pourmajidi, John Steinbacher, Tony Erwin, Andriy V. Miranskyy
2017	J	`jnl`	Rediscovery Datasets: Connecting Duplicate Reports. CoRR Mefta Sadat, Ayse Basar Bener, Andriy V. Miranskyy
2017	A	`conf`	Rediscovery datasets: connecting duplicate reports. MSR Mefta Sadat, Ayse Basar Bener, Andriy V. Miranskyy
2016	—	`conf`	A metric suite proposal for logical dependency. WETSoM@ICSE Shirin Akbarinasaji, Behjat Soltanifar, Bora Çaglayan, Ayse Basar Bener, Andriy V. Miranskyy, Asli Filiz, Bryan M. Kramer, Ayse Tosun
2016	—	`conf`	On Automatic Detection of Performance Bugs. ISSRE Workshops Sokratis Tsakiltsidis, Andriy V. Miranskyy, Elie Mazzawi
2016	J	`jnl`	Operational-Log Analysis for Big Data Systems: Challenges and Solutions. IEEE Softw. Andriy V. Miranskyy, Abdelwahab Hamou-Lhadj, Enzo Cialini, Alf Larsson
2016	—	`conf`	Preliminary investigation on user interaction with IBM watson analytics. CASCON Parisa Lak, Mefta Sadat, Carl Julien Barrelet, Martin Petitclerc, Andriy V. Miranskyy, Craig Statchuk, Ayse Basar Bener
2016	—	`conf`	Privacy Preserving Predictive Analytics with Smart Meters. BigData Congress Biruk K. Habtemariam, Andriy V. Miranskyy, Ali Miri, Saeed Samet, Matthew Davison
2016	J	`jnl`	Towards Automated Performance Bug Identification in Python. CoRR Sokratis Tsakiltsidis, Andriy V. Miranskyy, Elie Mazzawi
2015	—	`conf`	4th International Workshop on Realizing AI Synergies in Software Engineering (RAISE 2015). ICSE (2) Burak Turhan, Ayse Basar Bener, Rachel Harrison, Andriy V. Miranskyy, Çetin Meriçli, Leandro L. Minku
2015	—	`conf`	Big Picture of Big Data Software Engineering: With Example Research Challenges. BIGDSE@ICSE Nazim H. Madhavji, Andriy V. Miranskyy, Kostas Kontogiannis
2015	—	`conf`	Merits of Organizational Metrics in Defect Prediction: An Industrial Replication. ICSE (2) Bora Caglayan, Burak Turhan, Ayse Basar Bener, Mayy Habayeb, Andriy V. Miranskyy, Enzo Cialini
2015	J	`jnl`	Ordering Interrogative Questions for Effective Requirements Engineering: The W6H Pattern. CoRR Mujahid Sultan, Andriy V. Miranskyy
2015	—	`conf`	Ordering interrogative questions for effective requirements engineering: The W6H pattern. RePa@RE Mujahid Sultan, Andriy V. Miranskyy
2015	J	`jnl`	Ordering stakeholder viewpoint concerns for holistic and incremental Enterprise Architecture: the W6H framework. CoRR Mujahid Sultan, Andriy V. Miranskyy
2015	J	`jnl`	Predicting defective modules in different test phases. Softw. Qual. J. Bora Caglayan, Ayse Tosun Misirli, Ayse Basar Bener, Andriy V. Miranskyy
2015	—	`conf`	Taming a Tiger: software engineering in the era of big data & continuous development. CASCON Craig Statchuk, Nazim H. Madhavji, Andriy V. Miranskyy, Frank Dehne
2015	A	`conf`	The Firefox Temporal Defect Dataset. MSR Mayy Habayeb, Andriy V. Miranskyy, Syed Shariyar Murtaza, Leotis Buchanan, Ayse Bener
2014	—	`ed.`	3rd International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, RAISE 2014, Hyderabad, India, June 3, 2014 RAISE Burak Turhan, Ayse Basar Bener, Çetin Meriçli, Andriy V. Miranskyy, Leandro L. Minku
2014	J	`jnl`	Deploying and Provisioning Green Software. IEEE Softw. Ayse Basar Bener, Andriy V. Miranskyy, Steve Raspudic
2014	A	`conf`	Effect of temporal collaboration network, maintenance activity, and experience on defect exposure. ESEM Andriy V. Miranskyy, Bora Caglayan, Ayse Bener, Enzo Cialini
2014	B	`conf`	Factors affecting team evolution during software projects. CHASE Bora Çaglayan, Ayse Basar Bener, Andriy V. Miranskyy
2014	J	`jnl`	Green Software. IEEE Softw. Ayse Basar Bener, Maurizio Morisio, Andriy V. Miranskyy
2014	—	`ed.`	Proceedings of the 2nd International Workshop on Conducting Empirical Studies in Industry, CESI 2014, Hyderabad, India, June 2, 2014 CESI Xavier Franch, Nazim H. Madhavji, P. C. Anitha, Andriy V. Miranskyy
2013	—	`conf`	Emergence of developer teams in the collaboration network. CHASE@ICSE Bora Caglayan, Ayse Basar Bener, Andriy V. Miranskyy
2012	—	`conf`	Factors characterizing reopened issues: a case study. PROMISE Bora Caglayan, Ayse Tosun Misirli, Andriy V. Miranskyy, Burak Turhan, Ayse Bener
2012	J	`jnl`	Using entropy measures for comparison of software traces. Inf. Sci. Andriy V. Miranskyy, Matthew Davison, R. Mark Reesor, Syed Shariyar Murtaza
2011	J	`jnl`	Characteristics of multiple-component defects and architectural hotspots: a large system case study. Empir. Softw. Eng. Zude Li, Nazim H. Madhavji, Syed Shariyar Murtaza, Mechelle Gittens, Andriy V. Miranskyy, David Godwin, Enzo Cialini
2011	—	`conf`	Different strokes for different folks: a case study on software metrics for different defect categories. WETSoM Ayse Tosun Misirli, Bora Çaglayan, Andriy V. Miranskyy, Ayse Bener, Nuzio Ruffolo
2011	J	`jnl`	Metrics of Risk Associated with Defects Rediscovery CoRR Andriy V. Miranskyy, Matthew Davison, Mark Reesor
2011	—	`conf`	Request-implementation ratio as an indicator for requirements prioritisation imbalance. IWSPM Colin A. Taylor, Andriy V. Miranskyy, Nazim H. Madhavji
2010	—	`conf`	Usage of multiple prediction models based on defect categories. PROMISE Bora Caglayan, Ayse Tosun, Andriy V. Miranskyy, Ayse Basar Bener, Nuzio Ruffolo
2010	J	`jnl`	Using entropy measures for comparison of software traces CoRR Andriy V. Miranskyy, Matthew Davison, Mark Reesor, Syed Shariyar Murtaza
2009	—	`conf`	Analysis of pervasive multiple-component defects in a large software system. ICSM Zude Li, Mechelle Gittens, Syed Shariyar Murtaza, Nazim H. Madhavji, Andriy V. Miranskyy, David Godwin, Enzo Cialini
2009	—	`conf`	Selection of customers for operational and usage profiling. DBTest Andriy V. Miranskyy, Enzo Cialini, David Godwin
2008	—	`conf`	A case study in database reliability: component types, usage profiles, and testing. DBTest Colin A. Taylor, Mechelle Gittens, Andriy V. Miranskyy
2008	—	`conf`	SIFT: a scalable iterative-unfolding technique for filtering execution traces. CASCON Andriy V. Miranskyy, Nazim H. Madhavji, Mechelle Gittens, Matthew Davison, Mark Wilding, David Godwin, Colin A. Taylor
2007	—	`conf`	An iterative, multi-level, and scalable approach to comparing execution traces. ESEC/SIGSOFT FSE Andriy V. Miranskyy, Nazim H. Madhavji, Mechelle Gittens, Matthew Davison, Mark Wilding, David Godwin
2005	A	`conf`	Modelling Assumptions and Requirements in the Context of Project Risk. RE Andriy V. Miranskyy, Nazim H. Madhavji, Matthew Davison, Mark Reesor