ISBN: 9781919135038 - mathematical concepts in software diagnostics and software data analysis: three levels of explanation, with terminology and practical value (2 Ergebnisse)

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  • Sprache: Englisch

    Verlag: Opentask, 2026

    1919135030 / 9781919135038

    • Softcover

    Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books

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    Zustand: Neu

    EUR 82,96

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    Paperback. Zustand: Brand New. 216 pages. 8.50x0.56x11.00 inches. In Stock.

  • Sprache: Englisch

    Verlag: Opentask Sep 2026, 2026

    1919135030 / 9781919135038

    • Softcover

    Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

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    Taschenbuch. Zustand: Neu. Neuware - Mathematical concepts provide additional viewpoints for software diagnostics and software data analysis. We can consider a trace as a sequence of messages, a collection of activities, or a structure of relationships. Changing the viewpoint allows us to ask different questions about the same software evidence.In Mathematical Concepts in Software Diagnostics and Software Data Analysis, we introduce 85 concepts and explore their diagnostic interpretations. These range from graphs, equivalence relations, and partially ordered sets to sheaves, category theory, and ideas from mathematical physics. We consider how such concepts help us describe software behavior, compare execution structures, organize observations, and reason about incomplete evidence.Each concept is explained at three levels: an intuitive explanation requiring no mathematical knowledge, an undergraduate treatment, and a graduate perspective. Every two-page entry includes an illustration, explanations of terminology, readings of formulas in ordinary language, and a discussion of practical value and applicability. Readers can begin with a concrete software example and return to the mathematical details as their understanding develops.The concepts are arranged alphabetically for reference. Appendices provide mathematical foundations, classify the concepts, and connect them to their origins in analysis patterns and theoretical software diagnostics. Throughout the book, we distinguish formal constructions, structural analogies, and heuristic metaphors.This guide is intended for software diagnosticians, developers, and researchers who want to extend their mathematical vocabulary and explore its use in pattern-oriented software data analysis.…