Trace, Log, Text, Narrative: An Analysis Pattern Reference for Data Mining, Diagnostics, Anomaly Detection, Fourth Edition

New! The Fourth Edition is now available in PDF format from Software Diagnostics Services.

The fourth edition links:

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The first edition is also available for SkillSoft Books24x7 subscribers

General trace and log analysis patterns allow the application of uniform diagnostics and anomaly detection across diverse software environments. This pattern language covers any execution artifact from a small debugging trace to a distributed log with billions of messages from hundreds of computers, thousands of software components, threads, and processes. Pattern-oriented trace and log analysis is applicable to troubleshooting and debugging Windows, Mac OS X, Linux, FreeBSD, Android, iOS, z/OS, and any other possible computer platform, including networking and IoT. Its pattern catalog is a part of pattern-oriented software data analysis, diagnostics, anomaly detection, forensics, prognostics, root cause analysis, and debugging developed by Software Diagnostics Institute<. Also, the scope of applicability of such analysis patterns is much wider than just software execution artifacts or temporal data and now includes general data, narratives, text, and image analysis (space-like narratology). This reference reprints with corrections almost 200 patterns originally published in Memory Dump Analysis Anthology volumes 3 - 13 and Software Diagnostics Library. It also includes additional 5 analysis patterns from the forthcoming volume 14 bringing the total analysis pattern count to 201. Full-color diagrams accompany almost all pattern descriptions. The fourth edition includes 24 more patterns, updated classification, the bibliography, and the list of narratological and mathematical influences.

Product information:

  • Title: Trace, Log, Text, Narrative: An Analysis Pattern Reference for Data Mining, Diagnostics, Anomaly Detection, Fourth Edition
  • Authors: Dmitry Vostokov, Software Diagnostics Institute
  • Language: English
  • Product Dimensions: 21.6 x 14.0
  • Paperback: 348 pages
  • Publisher: OpenTask (September 2020)
  • ISBN-13: 978-1912636327

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