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Semantic ScholarAndriy V. Miranskyy
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2010 – today
- 2019
[j10]Lei Zhang
, Diego Lai, Andriy V. Miranskyy:
The impact of position errors on crowd simulation. Simulation Modelling Practice and Theory 90: 45-63 (2019)- [c37]Andriy V. Miranskyy, Lei Zhang:
On testing quantum programs. ICSE (NIER) 2019: 57-60 - [c36]William Pourmajidi, Lei Zhang, John Steinbacher, Tony Erwin, Andriy V. Miranskyy:
Immutable log storage as a service. ICSE (Companion Volume) 2019: 280-281 - [c35]Sravya Polisetty, Andriy V. Miranskyy, Ayse Basar:
On Usefulness of the Deep-Learning-Based Bug Localization Models to Practitioners. PROMISE 2019: 16-25 - [i19]Lei Zhang, Sean Howard, Tom Montpool, Jessica Moore, Krittika Mahajan, Andriy V. Miranskyy:
RESTORE: Automated Regression Testing for Datasets. CoRR abs/1903.03676 (2019) - [i18]William Pourmajidi, Andriy V. Miranskyy, John Steinbacher, Tony Erwin, David Godwin:
Dogfooding: use IBM Cloud services to monitor IBM Cloud infrastructure. CoRR abs/1907.06094 (2019) - [i17]Sravya Polisetty, Andriy V. Miranskyy, Ayse Bener:
On Usefulness of the Deep-Learning-Based Bug Localization Models to Practitioners. CoRR abs/1907.08588 (2019) - [i16]Lei Zhang, Andriy V. Miranskyy, Walid Rjaibi:
Quantum Advantage and Y2K Bug: Comparison. CoRR abs/1907.10454 (2019) - [i15]William Pourmajidi, Lei Zhang, John Steinbacher, Tony Erwin, Andriy V. Miranskyy:
Immutable Log Storage as a Service. CoRR abs/1908.10944 (2019) - 2018
- [j9]Hongyu Zhang, Andriy V. Miranskyy, Ayse Basar Bener:
Editorial: Special Section on Best Papers of PROMISE 2016. Information & Software Technology 95: 295 (2018) - [j8]Andriy V. Miranskyy, Zainab Al-zanbouri, David Godwin, Ayse Basar Bener:
Database engines: Evolution of greenness. Journal of Software: Evolution and Process 30(4) (2018) - [j7]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): 1224-1244 (2018) - [c34]William Pourmajidi, Andriy V. Miranskyy:
Logchain: Blockchain-Assisted Log Storage. IEEE CLOUD 2018: 978-982 - [c33]Sheik Hoque, Andriy V. Miranskyy:
Architecture for Analysis of Streaming Data. IC2E 2018: 263-269 - [c32]Sheik Hoque, Andriy V. Miranskyy:
Online and Offline Analysis of Streaming Data. ICSA Companion 2018: 68-71 - [c31]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: 700 - [c30]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: 1-19 - [c29]Mujahid Sultan, Andriy V. Miranskyy:
Ordering stakeholder viewpoint concerns for holistic enterprise architecture: the W6H framework. SAC 2018: 78-85 - [i14]Sheik Hoque, Andriy V. Miranskyy:
Online and Offline Analysis of Streaming Data. CoRR abs/1805.01021 (2018) - [i13]Sheik Hoque, Andriy V. Miranskyy:
Architecture for Analysis of Streaming Data. CoRR abs/1805.01025 (2018) - [i12]William Pourmajidi, Andriy V. Miranskyy:
Logchain: Blockchain-assisted Log Storage. CoRR abs/1805.08868 (2018) - [i11]William Pourmajidi, John Steinbacher, Tony Erwin, Andriy V. Miranskyy:
On Challenges of Cloud Monitoring. CoRR abs/1806.05914 (2018) - [i10]Lei Zhang, Diego Lai, Andriy V. Miranskyy:
The Impact of Position Errors on Crowd Simulation. CoRR abs/1810.11131 (2018) - [i9]Andriy V. Miranskyy, Lei Zhang:
On Testing Quantum Programs. CoRR abs/1812.09261 (2018) - 2017
- [c28]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: 38-47 - [c27]William Pourmajidi, John Steinbacher, Tony Erwin, Andriy V. Miranskyy:
On Challenges of Cloud Monitoring. CASCON 2017: 259-265 - [c26]Domenic Curro, Konstantinos G. Derpanis, Andriy V. Miranskyy:
Building Usage Profiles Using Deep Neural Nets. ICSE-NIER 2017: 43-46 - [c25]Mefta Sadat, Ayse Basar Bener, Andriy V. Miranskyy:
Rediscovery datasets: connecting duplicate reports. MSR 2017: 527-530 - [i8]Andriy V. Miranskyy, Zainab Al-zanbouri, David Godwin, Ayse Basar Bener:
Database Engines: Evolution of Greenness. CoRR abs/1701.02344 (2017) - [i7]Domenic Curro, Konstantinos G. Derpanis, Andriy V. Miranskyy:
Building Usage Profiles Using Deep Neural Nets. CoRR abs/1702.07424 (2017) - [i6]Mefta Sadat, Ayse Basar Bener, Andriy V. Miranskyy:
Rediscovery Datasets: Connecting Duplicate Reports. CoRR abs/1703.06337 (2017) - 2016
- [j6]Andriy V. Miranskyy, Abdelwahab Hamou-Lhadj, Enzo Cialini, Alf Larsson:
Operational-Log Analysis for Big Data Systems: Challenges and Solutions. IEEE Software 33(2): 52-59 (2016) - [c24]Biruk K. Habtemariam, Andriy V. Miranskyy, Ali Miri, Saeed Samet, Matthew Davison:
Privacy Preserving Predictive Analytics with Smart Meters. BigData Congress 2016: 190-197 - [c23]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: 218-225 - [c22]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: 57-63 - [c21]Sokratis Tsakiltsidis, Andriy V. Miranskyy, Elie Mazzawi:
On Automatic Detection of Performance Bugs. ISSRE Workshops 2016: 132-139 - [i5]Sokratis Tsakiltsidis, Andriy V. Miranskyy, Elie Mazzawi:
Towards Automated Performance Bug Identification in Python. CoRR abs/1607.08506 (2016) - 2015
- [j5]Bora Caglayan, Ayse Tosun Misirli, Ayse Basar Bener, Andriy V. Miranskyy:
Predicting defective modules in different test phases. Software Quality Journal 23(2): 205-227 (2015) - [c20]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: 303-306 - [c19]Nazim H. Madhavji, Andriy V. Miranskyy, Kostas Kontogiannis:
Big Picture of Big Data Software Engineering: With Example Research Challenges. BIGDSE@ICSE 2015: 11-14 - [c18]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: 89-98 - [c17]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: 991-992 - [c16]Mayy Habayeb, Andriy V. Miranskyy, Syed Shariyar Murtaza, Leotis Buchanan, Ayse Bener:
The Firefox Temporal Defect Dataset. MSR 2015: 498-501 - [c15]Mujahid Sultan, Andriy V. Miranskyy:
Ordering interrogative questions for effective requirements engineering: The W6H pattern. RePa@RE 2015: 1-8 - [i4]Mujahid Sultan, Andriy V. Miranskyy:
Ordering Interrogative Questions for Effective Requirements Engineering: The W6H Pattern. CoRR abs/1508.01954 (2015) - [i3]Mujahid Sultan, Andriy V. Miranskyy:
Ordering stakeholder viewpoint concerns for holistic and incremental Enterprise Architecture: the W6H framework. CoRR abs/1509.07360 (2015) - 2014
- [j4]Ayse Basar Bener, Maurizio Morisio, Andriy V. Miranskyy:
Green Software. IEEE Software 31(3): 36-39 (2014) - [j3]Ayse Basar Bener, Andriy V. Miranskyy, Steve Raspudic:
Deploying and Provisioning Green Software. IEEE Software 31(3): 76-78 (2014) - [c14]Andriy V. Miranskyy, Bora Caglayan, Ayse Bener, Enzo Cialini:
Effect of temporal collaboration network, maintenance activity, and experience on defect exposure. ESEM 2014: 27:1-27:8 - [c13]Bora Çaglayan, Ayse Basar Bener, Andriy V. Miranskyy:
Factors affecting team evolution during software projects. CHASE 2014: 16-23 - [e2]Xavier Franch, Nazim H. Madhavji, P. C. Anitha, Andriy V. Miranskyy:
Proceedings of the 2nd International Workshop on Conducting Empirical Studies in Industry, CESI 2014, Hyderabad, India, June 2, 2014. ACM 2014, ISBN 978-1-4503-2843-2 [contents] - [e1]Burak Turhan, Ayse Basar Bener, Çetin Meriçli, Andriy V. Miranskyy, Leandro L. Minku:
3rd International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, RAISE 2014, Hyderabad, India, June 3, 2014. ACM 2014, ISBN 978-1-4503-2846-3 [contents] - 2013
- [c12]Bora Caglayan, Ayse Basar Bener, Andriy V. Miranskyy:
Emergence of developer teams in the collaboration network. CHASE@ICSE 2013: 33-40 - 2012
- [j2]Andriy V. Miranskyy, Matthew Davison, R. Mark Reesor, Syed Shariyar Murtaza:
Using entropy measures for comparison of software traces. Inf. Sci. 203: 59-72 (2012) - [c11]Bora Caglayan, Ayse Tosun Misirli, Andriy V. Miranskyy, Burak Turhan, Ayse Bener:
Factors characterizing reopened issues: a case study. PROMISE 2012: 1-10 - 2011
- [j1]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. Empirical Software Engineering 16(5): 667-702 (2011) - [c10]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: 45-51 - [c9]Colin A. Taylor, Andriy V. Miranskyy, Nazim H. Madhavji:
Request-implementation ratio as an indicator for requirements prioritisation imbalance. IWSPM 2011: 3-6 - [i2]Andriy V. Miranskyy, Matthew Davison, Mark Reesor:
Metrics of Risk Associated with Defects Rediscovery. CoRR abs/1107.4016 (2011) - 2010
- [c8]Bora Caglayan, Ayse Tosun, Andriy V. Miranskyy, Ayse Basar Bener, Nuzio Ruffolo:
Usage of multiple prediction models based on defect categories. PROMISE 2010: 8 - [i1]Andriy V. Miranskyy, Matthew Davison, Mark Reesor, Syed Shariyar Murtaza:
Using entropy measures for comparison of software traces. CoRR abs/1010.5537 (2010)
2000 – 2009
- 2009
- [c7]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: 265-273 - [c6]Andriy V. Miranskyy, Enzo Cialini, David Godwin:
Selection of customers for operational and usage profiling. DBTest 2009 - 2008
- [c5]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: 21 - [c4]Colin A. Taylor, Mechelle Gittens, Andriy V. Miranskyy:
A case study in database reliability: component types, usage profiles, and testing. DBTest 2008: 11 - 2007
- [c3]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: 537-540 - [c2]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 (Companion) 2007: 537-540 - 2005
- [c1]Andriy V. Miranskyy, Nazim H. Madhavji, Matthew Davison, Mark Reesor:
Modelling Assumptions and Requirements in the Context of Project Risk. RE 2005: 471-472
Coauthor Index
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