SPARK 2014 User's Guide PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download SPARK 2014 User's Guide PDF full book. Access full book title SPARK 2014 User's Guide by Adacore. Download full books in PDF and EPUB format.

SPARK 2014 User's Guide

SPARK 2014 User's Guide PDF Author: Adacore
Publisher:
ISBN: 9781680921793
Category :
Languages : en
Pages : 326

Get Book

Book Description
SPARK 2014 is a programming language and a set of verification tools designed to meet the needs of high-assurance software development. SPARK 2014 is based on Ada 2012, both subsetting the language to remove features that defy verification, but also extending the system of contracts and aspects to support modular, formal verification. This manual is available online for free at adacore.com. This manual is printed in grayscale.

SPARK 2014 User's Guide

SPARK 2014 User's Guide PDF Author: Adacore
Publisher:
ISBN: 9781680921793
Category :
Languages : en
Pages : 326

View

Book Description
SPARK 2014 is a programming language and a set of verification tools designed to meet the needs of high-assurance software development. SPARK 2014 is based on Ada 2012, both subsetting the language to remove features that defy verification, but also extending the system of contracts and aspects to support modular, formal verification. This manual is available online for free at adacore.com. This manual is printed in grayscale.

Building High Integrity Applications with SPARK

Building High Integrity Applications with SPARK PDF Author: John W. McCormick
Publisher: Cambridge University Press
ISBN: 1316368386
Category : Computers
Languages : en
Pages :

View

Book Description
Software is pervasive in our lives. We are accustomed to dealing with the failures of much of that software - restarting an application is a very familiar solution. Such solutions are unacceptable when the software controls our cars, airplanes and medical devices or manages our private information. These applications must run without error. SPARK provides a means, based on mathematical proof, to guarantee that a program has no errors. SPARK is a formally defined programming language and a set of verification tools specifically designed to support the development of software used in high integrity applications. Using SPARK, developers can formally verify properties of their code such as information flow, freedom from runtime errors, functional correctness, security properties and safety properties. Written by two SPARK experts, this is the first introduction to the just-released 2014 version. It will help students and developers alike master the basic concepts for building systems with SPARK.

Formal Methods Teaching

Formal Methods Teaching PDF Author: Brijesh Dongol
Publisher: Springer Nature
ISBN: 3030324419
Category : Mathematics
Languages : en
Pages : 245

View

Book Description
This book constitutes the refereed proceedings of the Third International Workshop and Tutorial, FMTea 2019, Held as Part of the Third World Congress on Formal Methods, FM 2019, Porto, Portugal, October 2019. The 14 full papers presented together with 3 abstract papers were carefully reviewed and selected from 22 submissions. The papers are organized in topical sections named: Tutorial lectures; Teaching Program Verification; Teaching Program Development; and Effective Teaching Techniques.

Spark 2014 User's Guide

Spark 2014 User's Guide PDF Author: Adacore Team
Publisher: Samurai Media Limited
ISBN: 9789888407163
Category : Computers
Languages : en
Pages : 312

View

Book Description
SPARK 2014 is a programming language and a set of verification tools designed to meet the needs of high-assurance software development. SPARK 2014 is based on Ada 2012, both subsetting the language to remove features that defy verification, but also extending the system of contracts and aspects to support modular, formal verification. The new aspects support abstraction and refinement and facilitate deep static analysis to be performed including flow analysis and formal verification of an implementation against a specification. SPARK 2014 is a much larger and more flexible language than its predecessor SPARK 2005. The language can be configured to suit a number of application domains and standards, from server-class high-assurance systems (such as air-traffic management applications), to embedded, hard real-time, critical systems (such as avionic systems complying with DO-178C Level A). A major feature of SPARK 2014 is the support for a mixture of proof and other verification methods such as testing, which facilitates in particular the use of unit proof in place of unit testing; an approach now formalized in DO-178C and the DO-333 formal methods supplement. Certain units may be formally proven and other units validated through testing.

2014 Chevrolet Spark OEM Owners Manual Compatible with OEM Owners Manual, Factory Glovebox Book

2014 Chevrolet Spark OEM Owners Manual Compatible with OEM Owners Manual, Factory Glovebox Book PDF Author: Helming
Publisher:
ISBN: 9781648441578
Category :
Languages : en
Pages :

View

Book Description


Learning Bayesian Models with R

Learning Bayesian Models with R PDF Author: Dr. Hari M. Koduvely
Publisher: Packt Publishing Ltd
ISBN: 1783987618
Category : Computers
Languages : en
Pages : 168

View

Book Description
Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problems About This Book Understand the principles of Bayesian Inference with less mathematical equations Learn state-of-the art Machine Learning methods Familiarize yourself with the recent advances in Deep Learning and Big Data frameworks with this step-by-step guide Who This Book Is For This book is for statisticians, analysts, and data scientists who want to build a Bayes-based system with R and implement it in their day-to-day models and projects. It is mainly intended for Data Scientists and Software Engineers who are involved in the development of Advanced Analytics applications. To understand this book, it would be useful if you have basic knowledge of probability theory and analytics and some familiarity with the programming language R. What You Will Learn Set up the R environment Create a classification model to predict and explore discrete variables Get acquainted with Probability Theory to analyze random events Build Linear Regression models Use Bayesian networks to infer the probability distribution of decision variables in a problem Model a problem using Bayesian Linear Regression approach with the R package BLR Use Bayesian Logistic Regression model to classify numerical data Perform Bayesian Inference on massively large data sets using the MapReduce programs in R and Cloud computing In Detail Bayesian Inference provides a unified framework to deal with all sorts of uncertainties when learning patterns form data using machine learning models and use it for predicting future observations. However, learning and implementing Bayesian models is not easy for data science practitioners due to the level of mathematical treatment involved. Also, applying Bayesian methods to real-world problems requires high computational resources. With the recent advances in computation and several open sources packages available in R, Bayesian modeling has become more feasible to use for practical applications today. Therefore, it would be advantageous for all data scientists and engineers to understand Bayesian methods and apply them in their projects to achieve better results. Learning Bayesian Models with R starts by giving you a comprehensive coverage of the Bayesian Machine Learning models and the R packages that implement them. It begins with an introduction to the fundamentals of probability theory and R programming for those who are new to the subject. Then the book covers some of the important machine learning methods, both supervised and unsupervised learning, implemented using Bayesian Inference and R. Every chapter begins with a theoretical description of the method explained in a very simple manner. Then, relevant R packages are discussed and some illustrations using data sets from the UCI Machine Learning repository are given. Each chapter ends with some simple exercises for you to get hands-on experience of the concepts and R packages discussed in the chapter. The last chapters are devoted to the latest development in the field, specifically Deep Learning, which uses a class of Neural Network models that are currently at the frontier of Artificial Intelligence. The book concludes with the application of Bayesian methods on Big Data using the Hadoop and Spark frameworks. Style and approach The book first gives you a theoretical description of the Bayesian models in simple language, followed by details of its implementation in the R package. Each chapter has illustrations for the use of Bayesian model and the corresponding R package, using data sets from the UCI Machine Learning repository. Each chapter also contains sufficient exercises for you to get more hands-on practice.

Best STEM Resources for NextGen Scientists: The Essential Selection and User's Guide

Best STEM Resources for NextGen Scientists: The Essential Selection and User's Guide PDF Author: Jennifer L. Hopwood
Publisher: ABC-CLIO
ISBN: 1610697227
Category : Language Arts & Disciplines
Languages : en
Pages : 279

View

Book Description
Intended to support the national initiative to strengthen learning in areas of science, technology, engineering, and mathematics, this book helps librarians who work with youth in school and public libraries to build better collections and more effectively use these collections through readers' advisory and programming. • Introduces more than 500 STEM resource suggestions for toddlers to young adults • Highlights more than 25 detailed library program or activity suggestions to be paired with STEM book titles • Provides resource suggestions for professional development • Contains bonus sections on STEM-related graphic novels, apps, and other media

Trends in Maritime Technology and Engineering

Trends in Maritime Technology and Engineering PDF Author: C. Guedes Soares
Publisher: CRC Press
ISBN: 1000683311
Category : Technology & Engineering
Languages : en
Pages : 652

View

Book Description
Trends in Maritime Technology and Engineering comprises the papers presented at the 6th International Conference on Maritime Technology and Engineering (MARTECH 2022) that was held in Lisbon, Portugal, from 24-26 May 2022. The Conference has evolved from the series of biennial national conferences in Portugal, which have become an international event, and which reflect the internationalization of the maritime sector and its activities. MARTECH 2022 is the sixth of this new series of biennial conferences. The book covers all aspects of maritime activity, including in Volume 1: Structures, Hydrodynamics, Machinery, Control and Design. In Volume 2: Maritime Transportation and Ports, Maritime Traffic, Safety, Environmental Conditions, Renewable Energy, Oil & Gas, and Fisheries and Aquaculture. Trends in Maritime Technology and Engineering aims at academics and professionals in the above mentioned fields.

Tools and Algorithms for the Construction and Analysis of Systems

Tools and Algorithms for the Construction and Analysis of Systems PDF Author: Marsha Chechik
Publisher: Springer
ISBN: 3662496747
Category : Computers
Languages : en
Pages : 961

View

Book Description
This book constitutes the proceedings of the 22nd International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2016, which took place in Eindhoven, The Netherlands, in April 2016, held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2016. The 44 full papers presented in this volume were carefully reviewed and selected from 175 submissions. They were organized in topical sections named: abstraction and verification; probabilistic and stochastic systems; synthesis; tool papers; concurrency; tool demos; languages and automata; security; optimization; and competition on software verification – SV-COMP.

Words: A User's Guide

Words: A User's Guide PDF Author: Graham Pointon
Publisher: Routledge
ISBN: 131786428X
Category : Language Arts & Disciplines
Languages : en
Pages : 456

View

Book Description
Words: A User's Guide is an accessible and invaluable reference that is ideal for students, business people and advanced learners of English. The book is structured in groups of words that may be confused because they sound alike, look alike or seem to have similar meanings, and this approach makes it much more intuitive and easy to use than a dictionary. Contrasting over 5000 words (such as habitable and inhabitable, precipitation and rainfall, reigns and reins), Words: a User’s Guide provides examples of usage adapted from large national databases of contemporary English, and illustrates each headword in typical contexts and phrases. This book gives you straightforward answers, and helps with pronunciation, spelling, style and levels of formality. For those working internationally it presents international standards and compares usage in Britain and the USA. Words: A User’s Guide is an excellent resource for anyone who wants to communicate well in written and spoken English. "At last! A book about the use of words that clarifies and de-mystifies in an eminently usable way. I would recommend it to anyone who wants to write well. It is a book to keep." Sandy Gilkes, Head of the Centre for Academic Practice, University of Northampton "Rigorous, fresh, intriguing and downright useful, it deserves a place on every properly stocked reference shelf." Brian Cathcart, Professor of Journalism, Kingston University "From the pedantic to the permissive, everyone who’s interested in the English language and the way we speak and write it will want a copy of this practical, entertaining book." Wynford Hicks (author of Quite Literally and The Basics of English Usage)