Software Construction Brick by Brick, Increment 1: Using LEGO(R) to Teach Software Architecture, Design, Implementation, Internals, Diagnostics, Debugging, Testing, Integration, and Security

T�tulo: Software Construction Brick by Brick, Increment 1: Using LEGO(R) to Teach Software Architecture, Design, Implementation, Internals, Diagnostics, Debugging, Testing, Integration, and Security
Editor: Opentask
Idioma: Ingl�s
ISBN 10: 1912636700
ISBN 13: 9781912636709
Encuadernaci�n: Encuadernaci�n de tapa blanda
Estado: New

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Sinopsis

The first increment covers memory, memory addresses, pointers, program loading, kernel and user spaces, virtual process space, memory isolation, virtual and physical memory, memory paging, memory dump types.

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Dmitry Vostokov is an internationally recognized expert, speaker, educator, scientist, and author. He is the founder of pattern-oriented software diagnostics, forensics and prognostics discipline, and Software Diagnostics Institute. Vostokov has also authored more than 50 books on software diagnostics, anomaly detection and analysis, software and memory forensics, root cause analysis and problem solving, memory dump analysis, debugging, software trace and log analysis, reverse engineering, and malware analysis. He has more than 25 years of experience in software architecture, design, development, and maintenance in a variety of industries including leadership, technical and people management roles. Dmitry also founded Syndromatix, Anolog.io, BriteTrace, DiaThings, Logtellect, OpenTask Iterative and Incremental Publishing, and Software Diagnostics Technology and Services (former Memory Dump Analysis Services) and Software Prognostics. In his spare time, he presents various topics on Debugging TV and explores Software Narratology, its further development as Narratology of Things and Diagnostics of Things (DoT), Software Pathology, and Quantum Software Diagnostics. His current areas of interest are theoretical software diagnostics and its mathematical and computer science foundations, application of formal logic, artificial intelligence, machine learning and data mining to diagnostics and anomaly detection, software diagnostics engineering and diagnostics-driven development, diagnostics workflow and interaction. Recent interest areas also include cloud native computing, security, automation, functional programming, and applications of category theory to software development and big data.

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