1.

Record Nr.

UNINA9910796686603321

Autore

Sahinoglu Mehmet <1951->

Titolo

Cyber-risk informatics : engineering evaluation with data sciencef / / Mehmet Sahinoglu, PhD

Pubbl/distr/stampa

Hoboken, New Jersey : , : Wiley, , 2016

2016

ISBN

1-119-08752-X

1-119-08753-8

Descrizione fisica

1 online resource (745 p.)

Collana

New York Academy of Sciences

Classificazione

007.1

005.8

Disciplina

005.8

Soggetti

Cyber intelligence (Computer security)

Computer systems - Reliability

Computer software - Reliability

Computer networks - Security measures - Data processing

Risk assessment - Statistical methods

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

"with website"--Cover

Includes bibliographical references and index

Nota di bibliografia

Includes bibliographical references at the end of each chapters and index.

Nota di contenuto

Metrics, statistical quality control and basic reliability in cyber-risk -- Complex network reliability evaluation and estimation in cyber-risk -- Stopping rules for reliability and security tests in cyber-risk -- Security assessment and management in cyber-risk -- Game-theoretic computing in cyber-risk -- Modeling and simulation in cyber-risk -- Cloud computing in cyber-risk -- Software reliability modeling and metrics in cyber-risk -- Metrics for software reliability failure-count models in cyber-risk -- Practical hands-on lab topics in cyber-risk.



2.

Record Nr.

UNIORUON00025257

Autore

MISHIMA Yukio

Titolo

Colori proibiti / Yukio Mishima ; traduzione di Lydia Origlia , prefazione di Gian Carlo Calza

Pubbl/distr/stampa

Milano, : Mondadori, 1994

Titolo uniforme

Kinjiki / Yukio Mishima

ISBN

88-04-32090-7

Descrizione fisica

ix, 433 p. ; 19 c

Classificazione

GIA VI BA

Soggetti

LETTERATURA GIAPPONESE - NARRATIVA - SEC. XX

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Titolo originale : Kinjiki



3.

Record Nr.

UNINA9910254748903321

Autore

Mukherjee Sudipta

Titolo

Source Code Analytics With Roslyn and JavaScript Data Visualization / / by Sudipta Mukherjee

Pubbl/distr/stampa

Berkeley, CA : , : Apress : , : Imprint : Apress, , 2016

ISBN

9781484219256

1484219252

Edizione

[1st ed. 2016.]

Descrizione fisica

1 online resource (XXI, 170 p. 129 illus., 122 illus. in color.)

Disciplina

005.11

Soggetti

Computer programming

Software engineering

Programming languages (Electronic computers)

Programming Techniques

Software Engineering

Programming Languages, Compilers, Interpreters

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Chapter 1 Meet Roslyn Syntax -- Chapter 2 Code Quality Metrics -- Chapter 3 Design Quality Metrics -- Chapter 4 Code Performance Metrics -- Chapter 5 Code Mining -- Chapter 6 Code Forensics -- Chapter 7 Code Visualization.

Sommario/riassunto

Learn how to build an interactive source code analytics system using Roslyn and JavaScript. This concise 150 page book will help you create and use practical code analysis tools utilizing the new features of Microsoft’s Roslyn compiler to understand the health of your code and identify parts of the code for refactoring. Source code is one of the biggest assets of a software company. However if not maintained well, it can become a big liability. As source code becomes larger. more complex and accessed via the cloud, maintaining code quality becomes even more challenging. The author provides straightforward tools and advice on how to manage code quality in this new environment. Roslyn exposes a set of APIs which allow developers to parse their C# and VB.NET code and drastically lower the barrier to entry for Meta programming in .NET. Roslyn has a dedicated set of APIs for creating



custom refactoring for integrating with Visual Studio. This title will show readers how to use Roslyn along with industry standard JavaScript visualization APIs like HighCharts, D3.js etc to create a scalable and highly responsive source code analytics system. .