=Paper= {{Paper |id=Vol-1687/inv1 |storemode=property |title=None |pdfUrl=https://ceur-ws.org/Vol-1687/inv1.pdf |volume=Vol-1687 }} ==None== https://ceur-ws.org/Vol-1687/inv1.pdf
 Using Intelligent Systems and Structural
Analysis to Assure Orderly Operations of the
 Modern Trading and Exchange Platforms

                   Olga Moskaleva and Anna Gromova

                              Exactpro company



  Abstract. Maintaining orderly operations of its markets is the London
  Stock Exchange Group’s (LSEG) utmost priority. As a regulated entity,
  LSEG has a legal responsibility to ensure correct and stable behavior of
  its platforms and monitor its markets.
  This represents two major dimensions of Exactpro work. Technical sta-
  bility and search for possible software defects. Fraud detection to prevent
  market manipulation, money laundering and other illegal activities.
  Market fraud detection can be carried out by monitoring and analyzing
  all market events. Market surveillance systems ensure this monitoring.
  Defect management is an essential part of improving the technical stabil-
  ity of software by using test tools. Identifying and correcting defects saves
  software costs. Additionally, the prediction of testing metrics should give
  project managers a better picture of risks associated with a particular
  software defect.
  We demonstrate how intelligent systems and structural analysis could
  solve such tasks.

  Keywords: fraud detection, surveillance systems, technical stability,
  defect management, intelligent systems, Data Mining