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Assistant Professor
Department of Computer Science
Ryerson University

LinkedIn : profile

Announcements

Important I am currently taking on graduate students with interests or expertise in my research areas. If you would like to work with me, please make an appropriate note in your application to the graduate school; see Yeates School of Graduate Studies web site for detailed information about the application process. In addition, please contact me directly. Note that funding is available to exceptionally qualified candidates.

Research Interests

My main research interest lies in the area of quantifying and mitigating risks (in the broadest sense) associated with the Software Engineering process. Examples of risks are numerous:

  • Related to very large databases for Big Data been tested improperly, resulting in defect escapes and unplanned outages;

  • Tied to non-scalable algorithms for which it is impossible to determine root cause of system failure fast enough to preclude prolonged outages and customer dissatisfaction;

  • Connected with requirements creeping in late in the development cycle, overrunning original budget and schedule;

  • Linked to spikes in the number of defects rediscovered by clients, overloading support and maintenance personnel.

My current research activities involve three inter-related Software Engineering disciplines: Quality Assurance, Green (Energy Efficient) Software, and Requirements Engineering.

Research Partners & Funding Agencies

Selected Publications

  • A.V. Miranskyy, W. Hamou-Lhadj, E. Cialini, and A. Larsson, Operational Data Analysis for Big Data Systems: Challenges and Solutions, IEEE Software (to appear)

  • N.H. Madhavji, A. Miranskyy, and K. Kontogiannis, Big Picture of Big Data Software Engineering, in Proceedings of the 1st International Workshop on Big Data Software Engineering (BIGDSE), 2015 : link, preprint

  • M. Sultan and A.V. Miranskyy, Ordering Interrogative Questions for Effective Requirements Engineering: The W6H Pattern, In Proceedings of the 5th International Workshop on Requirements Patterns (RePa’15), 2015 (to appear), preprint

  • M. Habayeb, A. Miranskyy, S.S. Murtaza, L. Buchanan, and A. Bener, The Firefox Temporal Defect Dataset, in Proceedings of the 12th Working Conference on Mining Software Repositories (MSR’15), 2015, : link, preprint

  • B. Caglayan, B. Turhan, A. Bener, M. Habayeb, A. Miranskyy, and E. Cialini, Merits of Organizational Metrics in Defect Prediction: An Industrial Replication, in Proceedings of the International Conference on Software Engineering (ICSE’15), 2015 : link, preprint

  • A.B. Bener, M. Morisio, and A. Miranskyy, Green Software: Guest Editors’ Introduction, IEEE Software, 31, 3, (2014), 36-39 : link

  • B. Caglayan, A. Bener, and A. Miranskyy, Emergence of Developer Teams In The Collaboration Network, in Proceedings of the Sixth International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE 2013) : link

  • A.V. Miranskyy, S.A. Kocak, E. Cialini, and A.B. Bener, DB2 Data Compression Feature: Energy Saver, IBM developerWorks (2013) : link

  • S.A. Kocak, A.V. Miranskyy, G.I. Alptekin, A.B. Bener, and E. Cialini, The Impact of Improving Software Functionality on Environmental Sustainability, in Proceedings of the First International Conference on Information and Communication Technologies for Sustainability (ICT4S), (2012), 95-100 : link

  • B. Caglayan, A.T. Misirli, A. Miranskyy, B. Turhan, and A. Bener. Factors characterizing reopened issues: a case study, in Proceedings of the 8th International Conference on Predictive Models in Software Engineering (PROMISE '12), (2012), 1-10 : link

  • A.V. Miranskyy, M. Davison, M. Reesor, and S.S. Murtaza: Using entropy measures for comparison of software traces, Information Sciences, 203, no. 25, (2012), 59-72 : link

  • E. Cialini and A.V. Miranskyy, Scaling of DB2 for Linux, UNIX, and Windows memory-related configuration parameters on a test system, IBM developerWorks (2011): link

  • C. Taylor, A.V. Miranskyy and N.H. Madhavji, Request implementation ratio as an indicator for prioritization bias, in Proceedings of Fifth International Workshop on Software Product Management (IWSPM), 2011, 3-6 : link

  • B. Caglayan, A. Tosun, A.V. Miranskyy, A. Bener, and N. Ruffolo. Usage of multiple prediction models based on defect categories. In Proceedings of the 6th International Conference on Predictive Models in Software Engineering (PROMISE '10). Article 8, (2010), 9 pages : link

  • A.V. Miranskyy, E. Cialini, and D. Godwin. Selection of customers for operational and usage profiling, in Proceedings of the Second International Workshop on Testing Database Systems (DBTest '09). Article 7, (2009), 6 pages : link

  • A.V. Miranskyy, N.H. Madhavji, M.S. Gittens, M. Davison, M. Wilding, and D. Godwin, C.A. Taylor, SIFT: A Scalable Iterative-Unfolding Technique for Filtering Execution Traces, in Proceedings of the 2008 Conference of the Center For Advanced Studies on Collaborative Research: Meeting of Minds (CASCON '08), (2008), 15 pages : link

Please see my complete list of publications : pdf

Patents & IP

  • A.V. Miranskyy and E. Cialini, Calculation of the amount of changes made to a software source code at the function and block level of granularity, IPCOM 000225653D, (2013) (IP publication) : link

  • A.V. Miranskyy, E. Cialini, and D. Godwin, Selection of Customers for Operational and Usage Profiling, IPCOM 000203574D, (2011) (IP publication) : link

  • A.V. Miranskyy, D. Godwin, E. Cialini, A technique for estimation of confidence interval for probability of defect rediscovery, United States Patent & Trademark Office’s Patent # 8392763, (2009) : link

  • A.V. Miranskyy and D. Godwin, Trend change analysis using inflection points detection, IPCOM 000177081D, (2008) (IP publication) : link

  • M. Davison, M.S. Gittens, D. Godwin, N.H. Madhavji, A. Miranskyy, and M. Wilding, Computer Software Test Coverage Analysis, United States Patent & Trademark Office’s Patent # 7793267, (2006) : link

Dissertations

  • Models, Techniques, and Metrics for Managing Risk in Software Engineering, Ph.D. Dissertation, Applied Mathematics, Scientific Computing, University of Western Ontario, London, Canada, 2011 : pdf

  • Pricing Defaultable Bonds and Options in a CIR Risk & Default Framework, M.Sc. Dissertation, Applied Mathematics, Quantitative Finance, University of Western Ontario, London, Canada, 2004

People

Current Students

  • Sedef Akinli Kocak, PhD candidate

  • Jorge Lopez, MSc candidate

  • Mefta Sadat, MSc candidate

  • Mujahid Sultan, PhD candidate

  • Sokratis Tsakiltsidis, MSc candidate

Alumni

  • Zainab Al-zanbouri, MSc (CS), 2015

    • Thesis Title: Database Engines: Evolution of Greenness

  • Mayy Habayeb, MEng (MIE), 2015

    • Thesis Title: On the Use of Hidden Markov Model to Predict the Time to Fix Bugs

Teaching

  • CPS406 - Introduction to Software Engineering

  • CPS731 - Software Engineering I

  • CPS888 - Software Engineering

  • CP8102 & CP9102 - Computer Science Seminar

  • CP8302 - Software Metrics

Contact me

  • Email : avm <at> scs.ryerson.ca

  • LinkedIn : profile

  • Phone : +1 (416) 979-5000 ext. 7208

  • Mail :
    Department of Computer Science
    Ryerson University
    350 Victoria St.
    Toronto, Ontario, M5B 2K3
    Canada