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Кластеризация фейлов: чему машина может научить человека

Кластеризация фейлов: чему машина может научить человека

Мурад Мамедов
AI Researcher, Exactpro

14 мая 2020
Online Data Science Meetup

Мурад расскажет о том, как в рамках проекта Sailfish проходила кластеризация тестовых фейлов по типам и источникам, и к каким выводам удалось прийти в процессе.
Доклад будет вам полезен, если вы хотите начать применять машинное обучение в своей сфере.

Видео: https://youtu.be/zHDqVG4wPjU

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May 14, 2020
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  1. Build Software to Test Software exactpro.com Failure Clustering: What a

    Machine Can Teach Us Murad Mamedov, AI Researcher DS Meetup, May 2020
  2. 2 Build Software to Test Software exactpro.com A specialist firm

    focused on functional and non-functional testing of exchanges, clearing houses, depositories, trade repositories and other financial market infrastructures. About Exactpro Headquartered in the UK with operations in the US and Eastern Europe. The clients are regulated by the FCA, Bank of England and their counterparts from other countries. Exactpro provides software testing services for mission critical technology that underpins global financial markets. The firm is experienced with trading and clearing and settlement platforms, market data systems, collateral management and risk management systems, central data warehouses, regulatory reporting, etc. Incorporated in 2009 with 10 people, Exactpro is now employing over 580 specialists. Part of the London Stock Exchange Group (LSEG) from May 2015 until January 2018, when the Exactpro management proceeded through the buyout of the company from LSEG.
  3. 5 Build Software to Test Software exactpro.com How it works

    exactpro.com/test-tools/sailfish github.com/Exactpro/sailfish-core
  4. 6 Build Software to Test Software exactpro.com Web Binary FIX

    Market Data Database How Sailfish Works
  5. 7 Build Software to Test Software exactpro.com • Detailed Analytics

    and Recommendations ⬆ Understanding of each failure ⬆ Failures Source Detection ⬆ Relevant Message Recognition Task Decomposition
  6. 8 Build Software to Test Software exactpro.com Relevant Message Recognition

    Automated Analysis of Testing Reports using Machine Learning Techniques Building a Classification System for Failed Test Runs: Industrial Report 2019.secrus.org ieeeaitests.com
  7. 9 Build Software to Test Software exactpro.com • Detailed Analytics

    and Recommendations ⬆ Understanding of each failure ⬆ Failures Source Detection ⬆ Relevant Message Recognition Task Decomposition
  8. 18 Build Software to Test Software exactpro.com Two Approaches to

    Use ML Default way - Train an algorithm - Release it into production Supportive way - Train algorithm and extract certain determined rules - Then adopt the rules in production
  9. 19 Build Software to Test Software exactpro.com 3:44 7:21 5:37

    watch on Youtube watch on Youtube watch on Youtube