Category theory software diagnostics (32 résultats)

Paperback or Softback. Etat : New. Category Theory for Software Diagnostics, Observability, and Debugging: Applied Category Theory for Runtime Evidence, Invariants, and Root-Cause Analy. Book.

Etat : New.

Paperback. Etat : Brand New. 160 pages. 8.50x0.42x11.00 inches. In Stock.

paperback. Etat : Very Good.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

Paperback. Etat : Brand New. 234 pages. 11.00x8.50x0.61 inches. In Stock.

Paperback. Etat : Brand New. 330 pages. 8.50x0.86x11.00 inches. In Stock.

Taschenbuch. Etat : Neu. Neuware - The book contains the full transcript of Software Diagnostics Services training with 10 hands-on exercises on various topics related to Windows API.Knowledge of Windows API is necessary for: - Development- Malware analysis- Vulnerability analysis and exploitation- Reversing- Diagnostics- Debugging- Memory forensics- Crash and hang analysis- Secure coding- Static code analysis- Trace and log analysisThe training uses a unique and innovative pattern-oriented analysis approach and provides: - Overview- Classification- Patterns- Internals- Development examples- Analysis examplesThe second edition includes the relevant x64 disassembly overview and additional topics. …

Taschenbuch. Etat : Neu. Neuware - This book is AI-synthesized from our published work, including bits and pieces of CT applied to software diagnostics and debugging from 10-15 years ago.Software diagnostics usually involves analyzing and transforming several execution artifacts. We filter and join logs, reconstruct call stacks from memory dumps, compare traces, and combine observations from different tools. Such operations preserve some information and may discard relationships needed for diagnosis.In this book, we develop an Applied Category Theory approach to software diagnostics, observability, and debugging. We consider software behavior, execution artifacts, analysis patterns, and diagnostic hypotheses as related structures. Categories, functors, natural transformations, presheaves, and sheaves help us describe these relationships and specify what should be preserved. For example, two different analysis paths may be expected to produce the same result. A discrepancy then becomes a diagnostic indicator that requires further investigation.The book develops our earlier work on pattern-oriented software diagnostics, Software Codiagnostics, and trace and log analysis patterns. We introduce the Categorical Invariant Violation analysis pattern and connect categorical constructions to practical checks for distributed systems, memory analysis, observability drift, and agentic AI workflows. Worked examples include the analysis of a real HTTP log artifact. We also consider diagnostic applications of toposes and explain the relationship between established mathematics and our proposed constructions.Separate appendices introduce the mathematical prerequisites and category theory, assuming only school mathematics, and review established categorical applications. The book includes references, a glossary, and an index, and is intended for software developers, support engineers, SREs, software diagnosticians, and researchers.…

Paperback. Etat : new. Paperback. This book is AI-synthesized from our published work, including bits and pieces of CT applied to software diagnostics and debugging from 10-15 years ago.Software diagnostics usually involves analyzing and transforming several execution artifacts. We filter and join logs, reconstruct call stacks from memory dumps, compare traces, and combine observations from different tools. Such operations preserve some information and may discard relationships needed for diagnosis.In this book, we develop an Applied Category Theory approach to software diagnostics, observability, and debugging. We consider software behavior, execution artifacts, analysis patterns, and diagnostic hypotheses as related structures. Categories, functors, natural transformations, presheaves, and sheaves help us describe these relationships and specify what should be preserved. For example, two different analysis paths may be expected to produce the same result. A discrepancy then becomes a diagnostic indicator that requires further investigation.The book develops our earlier work on pattern-oriented software diagnostics, Software Codiagnostics, and trace and log analysis patterns. We introduce the Categorical Invariant Violation analysis pattern and connect categorical constructions to practical checks for distributed systems, memory analysis, observability drift, and agentic AI workflows. Worked examples include the analysis of a real HTTP log artifact. We also consider diagnostic applications of toposes and explain the relationship between established mathematics and our proposed constructions.Separate appendices introduce the mathematical prerequisites and category theory, assuming only school mathematics, and review established categorical applications. The book includes references, a glossary, and an index, and is intended for software developers, support engineers, SREs, software diagnosticians, and researchers. We apply category theory to software diagnostics, observability, and debugging, connecting execution artifacts and analysis patterns with practical checks. Worked examples and appendices explain the math, assuming only school-level knowledge. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Etat : new. Paperback. This book is AI-synthesized from our published work, including bits and pieces of CT applied to software diagnostics and debugging from 10-15 years ago.Software diagnostics usually involves analyzing and transforming several execution artifacts. We filter and join logs, reconstruct call stacks from memory dumps, compare traces, and combine observations from different tools. Such operations preserve some information and may discard relationships needed for diagnosis.In this book, we develop an Applied Category Theory approach to software diagnostics, observability, and debugging. We consider software behavior, execution artifacts, analysis patterns, and diagnostic hypotheses as related structures. Categories, functors, natural transformations, presheaves, and sheaves help us describe these relationships and specify what should be preserved. For example, two different analysis paths may be expected to produce the same result. A discrepancy then becomes a diagnostic indicator that requires further investigation.The book develops our earlier work on pattern-oriented software diagnostics, Software Codiagnostics, and trace and log analysis patterns. We introduce the Categorical Invariant Violation analysis pattern and connect categorical constructions to practical checks for distributed systems, memory analysis, observability drift, and agentic AI workflows. Worked examples include the analysis of a real HTTP log artifact. We also consider diagnostic applications of toposes and explain the relationship between established mathematics and our proposed constructions.Separate appendices introduce the mathematical prerequisites and category theory, assuming only school mathematics, and review established categorical applications. The book includes references, a glossary, and an index, and is intended for software developers, support engineers, SREs, software diagnosticians, and researchers. We apply category theory to software diagnostics, observability, and debugging, connecting execution artifacts and analysis patterns with practical checks. Worked examples and appendices explain the math, assuming only school-level knowledge. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Paperback. Etat : new. Paperback. This book is AI-synthesized from our published work, including bits and pieces of CT applied to software diagnostics and debugging from 10-15 years ago.Software diagnostics usually involves analyzing and transforming several execution artifacts. We filter and join logs, reconstruct call stacks from memory dumps, compare traces, and combine observations from different tools. Such operations preserve some information and may discard relationships needed for diagnosis.In this book, we develop an Applied Category Theory approach to software diagnostics, observability, and debugging. We consider software behavior, execution artifacts, analysis patterns, and diagnostic hypotheses as related structures. Categories, functors, natural transformations, presheaves, and sheaves help us describe these relationships and specify what should be preserved. For example, two different analysis paths may be expected to produce the same result. A discrepancy then becomes a diagnostic indicator that requires further investigation.The book develops our earlier work on pattern-oriented software diagnostics, Software Codiagnostics, and trace and log analysis patterns. We introduce the Categorical Invariant Violation analysis pattern and connect categorical constructions to practical checks for distributed systems, memory analysis, observability drift, and agentic AI workflows. Worked examples include the analysis of a real HTTP log artifact. We also consider diagnostic applications of toposes and explain the relationship between established mathematics and our proposed constructions.Separate appendices introduce the mathematical prerequisites and category theory, assuming only school mathematics, and review established categorical applications. The book includes references, a glossary, and an index, and is intended for software developers, support engineers, SREs, software diagnosticians, and researchers. We apply category theory to software diagnostics, observability, and debugging, connecting execution artifacts and analysis patterns with practical checks. Worked examples and appendices explain the math, assuming only school-level knowledge. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Etat : New. Print on Demand.

Etat : New. Print on Demand 2nd ed. edition NO-PA16APR2015-KAP.

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Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.