Arvutiteaduse instituut
  1. Kursused
  2. 2019/20 kevad
  3. Ettevõtte tarkvara seminar (MTAT.03.270)
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Ettevõtte tarkvara seminar 2019/20 kevad

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Seminars

  • Introductory Seminar 1 (Kuldar Taveter): 19 February 2020
    • Slides
  • Introductory Seminar 2 (Kuldar Taveter): 26 February 2020
    • Slides
  • Examples of systematic literature reviews
    • Example 1
    • Example 2
  • 3 March - deadline for identifying topic and presentation time slot (over Slack channel #topic-registration)
  • Presentations 2: 18 March (with submission 16 March)
    • #6: Hanna Tagen, Passenger interaction with autonomous ride-hailing vehicles
    • #7: Magnar Aruoja, Quo vadis entrepreneurial hackathons?
    • #8: Ahmed Imam, Turning predictions into actions with uplift modeling
    • #9: Robert Sepp, GDPR Process Compliance in the Internet of Things Systems (thesis topic)
    • #10: Ketevani Kvirikashvili, Digital Detox through Twitter
  • Presentations 3: 1 April (with submission 27 March)
    • #11: Vlad Bondarenko, Privacy-preserving process mining
    • #12: Alar Kirikal, The dark side of hackathons - diversity and technical solutions
    • #13: Mubashar Shahzad, Chronic Liver Disease Detection using Association Rule Mining
    • #14: Muhammad Zubair, Analysing Server Logs for predicting Job Failures
    • #15: Toomas Veromann, Frontend Microservices
  • Presentations 4: 8 April (with submission 3 April)
    • #16: Vladyslav Umerenko, Demand forecasting methods for the retail sector
    • #17: Shefali Sharma, Identifying Fake News using Linked Data and Network Science Approaches
    • #18: Zohaib Ahmed Butt, Automatic Test Case Generation
    • #19: Miras Kenzhegaliyev, Comparative Analyses on potential models for EEG-based BCI Applications
    • #20: Sophio Japharidze, Bias and polarization in online media
  • Presentations 5: 22 April (with submission 17 April)
    • #21: Kert Prink, Data Mining for technical debt analysis
    • #22: Octanty Mulianingtyas, Techniques for measuring software energy consumption: A comparative analysis
    • #23: Chingiz Mammadli, Evaluating the impact of refactoring code smells on the power consumption of android apps
    • #24: Gunel Ismayilova, Microservice Design Patterns and Smells
    • #25: Märt Häkkinen, Information System Security Risk Management in the Autonomous Driving Vehicles (thesis topic)
  • Presentations 6: 29 April (with submission 24 April)
    • #26: Miron Storožev, How to attack the oracle problem with metamorphic testing?
    • #27: Gaukhar Dauzhan, Evaluation of Sentiment analysis tools for Feature-based sentiment analysis on App Reviews
    • #28: Hariti Sanchaniya, Architectural Principles for Scalable Web applications
    • #29: Jazib Sawar, Function-as-a-Service Architectures
    • #30: Abdul Wahab, Presentation Topic: Future, Challenges, Trend of EEG-based Brain Computer Interface (BCI) Applications
  • Presentations 7: 6 May (with submission 1 May)
    • #31: Janar Ojalaid, The power of stars: An empirical analysis of successful and flop movies
    • #32: Amit Kumar Singh, Presentation Topic: Risk-based Testing Approach for Test Case Prioritization
    • #33: Lekso Migriauli, Analysis, formalization, critique and application of Ross’ Business Rules Diagrams
    • #34: Mirlind Murati, Automatic extraction of app features from App Reviews: Evaluation on a benchmark dataset
    • #35: Ramazan, Interaction Aware Collision Avoidance for Autonomous Cars
  • Presentations 8: 13 May (with submission 8 May)
    • #36: Harald Astok, Elasticsearch in Pipedrive
    • #37: Ibrahim Mahdy, Mining resource availability for data driven business process simulation
    • #38: Solagbade Enitilo, Transfer Learning Based Explainable AI method for detecting tweets related to drug use (thesis topic)
    • #39: Enlik, Goal modelling for Xatkit
    • #40: Toomas Treikelder, How to speed up mutation testing?
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