Testing Ios Apps With Hadoopunit

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Testing iOS Apps with HadoopUnit

Scott Tilley,Krissada Dechokul
Testing iOS Apps with HadoopUnit Book PDF

Author : Scott Tilley,Krissada Dechokul
Publisher : Springer Nature
Page : 83 pages
File Size : 49,6 Mb
Release : 2022-05-31
Category : Technology & Engineering
ISBN : 9783031025488

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Testing iOS Apps with HadoopUnit by Scott Tilley,Krissada Dechokul Pdf

Smartphone users have come to expect high-quality apps. This has increased the importance of software testing in mobile software development. Unfortunately, testing apps—particularly the GUI—can be very time-consuming. Exercising every user interface element and verifying transitions between different views of the app under test quickly becomes problematic. For example, execution of iOS GUI test suites using Apple’s UI Automation framework can take an hour or more if the app’s interface is complicated. The longer it takes to run a test, the less frequently the test can be run, which in turn reduces software quality. This book describes how to accelerate the testing process for iOS apps using HadoopUnit, a distributed test execution environment that leverages the parallelism inherent in the Hadoop platform. HadoopUnit was previously used to run unit and system tests in the cloud. It has been modified to perform GUI testing of iOS apps on a small-scale cluster—a modest computing infrastructure available to almost every developer. Experimental results have shown that distributed test execution with HadoopUnit can significantly outperform the test execution on a single machine, even if the size of the cluster used for the execution is as small as two nodes. This means that the approach described in this book could be adopted without a huge investment in IT resources. HadoopUnit is a cost-effective solution for reducing lengthy test execution times of system-level GUI testing of iOS apps.

Symbolic Execution and Quantitative Reasoning

Corina S. Păsăreanu
Symbolic Execution and Quantitative Reasoning Book PDF

Author : Corina S. Păsăreanu
Publisher : Springer Nature
Page : 65 pages
File Size : 40,6 Mb
Release : 2022-05-31
Category : Technology & Engineering
ISBN : 9783031025518

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Symbolic Execution and Quantitative Reasoning by Corina S. Păsăreanu Pdf

This book reviews recent advances in symbolic execution and its probabilistic variant and discusses how they can be used to ensure the safety and security of software systems. Symbolic execution is a systematic program analysis technique which explores multiple program behaviors all at once by collecting and solving symbolic constraints collected from the branching conditions in the program. The obtained solutions can be used as test inputs that execute feasible program paths. Symbolic execution has found many applications in various domains, such as security, smartphone applications, operating systems, databases, and more recently deep neural networks, uncovering subtle errors and unknown vulnerabilities. We review here the technique has also been extended to reason about algorithmic complexity and resource consumption. Furthermore, symbolic execution has been recently extended with probabilistic reasoning, allowing one to reason about quantitative properties of software systems. The approach computes the conditions to reach target program events of interest and uses model counting to quantify the fraction of the input domain satisfying these conditions thus computing the probability of event occurrence. This probabilistic information can be used for example to compute the reliability of an aircraft controller under different wind conditions (modeled probabilistically) or to quantify the leakage of sensitive data in a software system, using information theory metrics such as Shannon entropy. This book is intended for students and software engineers who are interested in advanced techniques for testing and verifying software systems.

Model-Driven Software Engineering in Practice, Second Edition

Marco Brambilla,Jordi Cabot,Manuel Wimmer
Model Driven Software Engineering in Practice Second Edition Book PDF

Author : Marco Brambilla,Jordi Cabot,Manuel Wimmer
Publisher : Springer Nature
Page : 191 pages
File Size : 44,5 Mb
Release : 2022-05-31
Category : Technology & Engineering
ISBN : 9783031025495

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Model-Driven Software Engineering in Practice, Second Edition by Marco Brambilla,Jordi Cabot,Manuel Wimmer Pdf

This book discusses how model-based approaches can improve the daily practice of software professionals. This is known as Model-Driven Software Engineering (MDSE) or, simply, Model-Driven Engineering (MDE). MDSE practices have proved to increase efficiency and effectiveness in software development, as demonstrated by various quantitative and qualitative studies. MDSE adoption in the software industry is foreseen to grow exponentially in the near future, e.g., due to the convergence of software development and business analysis. The aim of this book is to provide you with an agile and flexible tool to introduce you to the MDSE world, thus allowing you to quickly understand its basic principles and techniques and to choose the right set of MDSE instruments for your needs so that you can start to benefit from MDSE right away. The book is organized into two main parts. The first part discusses the foundations of MDSE in terms of basic concepts (i.e., models and transformations), driving principles, application scenarios, and current standards, like the well-known MDA initiative proposed by OMG (Object Management Group) as well as the practices on how to integrate MDSE in existing development processes. The second part deals with the technical aspects of MDSE, spanning from the basics on when and how to build a domain-specific modeling language, to the description of Model-to-Text and Model-to-Model transformations, and the tools that support the management of MDSE projects. The second edition of the book features: a set of completely new topics, including: full example of the creation of a new modeling language (IFML), discussion of modeling issues and approaches in specific domains, like business process modeling, user interaction modeling, and enterprise architecture complete revision of examples, figures, and text, for improving readability, understandability, and coherence better formulation of definitions, dependencies between concepts and ideas addition of a complete index of book content In addition to the contents of the book, more resources are provided on the book's website http://www.mdse-book.com, including the examples presented in the book.

Model-Driven Software Engineering in Practice

Marco Brambilla,Jordi Cabot,Manuel Wimmer
Model Driven Software Engineering in Practice Book PDF

Author : Marco Brambilla,Jordi Cabot,Manuel Wimmer
Publisher : Morgan & Claypool Publishers
Page : 249 pages
File Size : 50,5 Mb
Release : 2017-03-30
Category : Computers
ISBN : 9781627056953

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Model-Driven Software Engineering in Practice by Marco Brambilla,Jordi Cabot,Manuel Wimmer Pdf

This book discusses how model-based approaches can improve the daily practice of software professionals. This is known as Model-Driven Software Engineering (MDSE) or, simply, Model-Driven Engineering (MDE). MDSE practices have proved to increase efficiency and effectiveness in software development, as demonstrated by various quantitative and qualitative studies. MDSE adoption in the software industry is foreseen to grow exponentially in the near future, e.g., due to the convergence of software development and business analysis. The aim of this book is to provide you with an agile and flexible tool to introduce you to the MDSE world, thus allowing you to quickly understand its basic principles and techniques and to choose the right set of MDSE instruments for your needs so that you can start to benefit from MDSE right away. The book is organized into two main parts. The first part discusses the foundations of MDSE in terms of basic concepts (i.e., models and transformations), driving principles, application scenarios, and current standards, like the well-known MDA initiative proposed by OMG (Object Management Group) as well as the practices on how to integrate MDSE in existing development processes. The second part deals with the technical aspects of MDSE, spanning from the basics on when and how to build a domain-specific modeling language, to the description of Model-to-Text and Model-to-Model transformations, and the tools that support the management of MDSE projects. The second edition of the book features: a set of completely new topics, including: full example of the creation of a new modeling language (IFML), discussion of modeling issues and approaches in specific domains, like business process modeling, user interaction modeling, and enterprise architecture complete revision of examples, figures, and text, for improving readability, understandability, and coherence better formulation of definitions, dependencies between concepts and ideas addition of a complete index of book content In addition to the contents of the book, more resources are provided on the book's website http://www.mdse-book.com, including the examples presented in the book.

Java Software Development with Event B

Néstor Cataño Collazos
Java Software Development with Event B Book PDF

Author : Néstor Cataño Collazos
Publisher : Springer Nature
Page : 89 pages
File Size : 40,5 Mb
Release : 2022-05-31
Category : Technology & Engineering
ISBN : 9783031025501

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Java Software Development with Event B by Néstor Cataño Collazos Pdf

The cost of fixing software design flaws after the completion of a software product is so high that it is vital to come up with ways to detect software design flaws in the early stages of software development, for instance, during the software requirements, the analysis activity, or during software design, before coding starts. It is not uncommon that software requirements are ambiguous or contradict each other. Ambiguity is exacerbated by the fact that software requirements are typically written in a natural language, which is not tied to any formal semantics. A palliative to the ambiguity of software requirements is to restrict their syntax to boilerplates, textual templates with placeholders. However, as informal requirements do not enjoy any particular semantics, no essential properties about them (or about the system they attempt to describe) can be proven easily. Formal methods are an alternative to address this problem. They offer a range of mathematical techniques and mathematical tools to validate software requirements in the early stages of software development. This book is a living proof of the use of formal methods to develop software. The particular formalisms that we use are EVENT B and refinement calculus. In short: (i) software requirements as written as User Stories; (ii) they are ported to formal specifications; (iii) they are refined as desired; (iv) they are implemented in the form of a prototype; and finally (v) they are tested for inconsistencies. If some unit-test fails, then informal as well as formal specifications of the software system are revisited and evolved. This book presents a case study of software development of a chat system with EVENT B and a case study of formal proof of properties of a social network.

Test IOS Apps with UI Automation

Jonathan Penn
Test IOS Apps with UI Automation Book PDF

Author : Jonathan Penn
Publisher : Unknown
Page : 0 pages
File Size : 42,7 Mb
Release : 2013
Category : Application software
ISBN : 1937785521

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Test IOS Apps with UI Automation by Jonathan Penn Pdf

If you're an iOS developer or QA professional tapping through an app to reproduce bugs or performance issues you thought were solved two releases ago, then this is your book. Learn how to script the user interface, assert correct behavior, stub external dependencies, reproduce performance problems, organize test code for the long haul, and automate the whole process so the machine does the work. You'll walk through a comprehensive strategy with techniques using Apple's tools that you can apply to your own apps. Automated user interface testing is an important part of a comprehensive testing strategy for iOS applications. By scrutinizing your app through the eyes and actions of the user, you raise confidence that features are wired up right and behave as you expect. Through this book you'll learn how to do full-stack testing of your iOS apps in both the simulator and on the device with Apple's built-in tools. You'll write behavioral tests in UI Automation that help protect against regressions. You'll write scripts to repeat steps in Instruments to reproduce performance bugs. With a little ingenuity, you'll build a workflow that gives the feedback you need. Grow a test suite by working with a real application that uses Core Data and network requests. Learn how to describe expected behavior in test scripts, launch the app in a specific state, and stub external dependencies for completely isolated and repeatable tests. Along the way, you'll practice how to organize your test code and run it hands-free from the command line. By the end, you'll have the tools and habits you need to tackle the unique testing problems you'll face while building best-of-breed native iOS apps for your users. What You Need You'll need a Mac running at least Mac OS X Lion (10.7) and Xcode 4.6.

IOS Unit Testing by Example

Jon Reid
IOS Unit Testing by Example Book PDF

Author : Jon Reid
Publisher : Unknown
Page : 360 pages
File Size : 50,9 Mb
Release : 2020
Category : Electronic
ISBN : OCLC:1225629372

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IOS Unit Testing by Example by Jon Reid Pdf

Fearlessly change the design of your iOS code with solid unit tests. Use Xcode's built-in test framework XCTest and Swift to get rapid feedback on all your code - including legacy code. Learn the tricks and techniques of testing all iOS code, especially view controllers (UIViewControllers), which are critical to iOS apps. Learn to isolate and replace dependencies in legacy code written without tests. Practice safe refactoring that makes these tests possible, and watch all your changes get verified quickly and automatically. Make even the boldest code changes with complete confidence. Manual code and UI testing get slower the deeper your navigation hierarchy goes. It can take several taps just to reach a particular screen, never mind the actual workflow tests. Automatic unit testing offers such rapid feedback that it can change the rules of development. Bring testing to iOS development, even for legacy code. Use XCTest to write unit tests in Swift for all your code. iOS developers typically reserve unit tests for their model classes alone. But that approach skips most of the code common to iOS apps, especially with UIViewControllers. Learn how to unit test these view controllers to expand your unit testing possibilities. Since good unit tests form the bedrock for safe refactoring, you're empowered to make bold changes. Learn how to avoid the most common mistakes Swift programmers make with the XCTest framework. Use code coverage to find holes in your test suites. Learn how to identify hard dependencies. Reshape the design of your code quickly, with less risk and less fear.

IOS Test-Driven Development (Second Edition)

Joshua Greene,raywenderlich Tutorial Team,Mike Katz
IOS Test Driven Development Second Edition Book PDF

Author : Joshua Greene,raywenderlich Tutorial Team,Mike Katz
Publisher : Razeware LLC
Page : 0 pages
File Size : 40,9 Mb
Release : 2022-01-18
Category : Electronic
ISBN : 1950325423

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IOS Test-Driven Development (Second Edition) by Joshua Greene,raywenderlich Tutorial Team,Mike Katz Pdf

Learn how to test iOS Applications!iOS Test-Driven Development introduces you to a broad range of concepts with regard to not only writing an application from scratch with testing in mind, but also applying these concepts to already written applications which have little or no tests written for their functionality.Who This Book Is ForThis book is for intermediate iOS developers who already know the basics of iOS and Swift development but want to learn how to write code which is both testable and maintainable.Topics Covered in iOS Test-Driven DevelopmentThe TDD Cycle: Learn the concepts of Test-Driven Development and how to implement these concepts within an iOS application.Test Expressions and Expectations: Learn how to test both synchronous code using expressions and asynchronous code using expectations.Test RESTful Networking: Write tests to verify networking endpoints and the ability to mock the returned results.Test Authentication: Write tests which run against authenticated endpoints.Legacy Problems: Explore the problems legacy applications written without any unit tests or without thought of testing the code.Breaking Dependencies into Modules: Learn how to take dependencies within your code and compartmentalize these into their own modules with their own tests.Refactoring Large Classes: Learn how to refactor large unweilding classes into smaller more manageable and testable classes / objects.One thing you can count on: after reading this book, you'll be prepared to write testable applications which you can have confidence in making changes too with the knowledge your tests will catch breaking changes.

IOS Test-Driven Development by Tutorials (First Edition): Learn Real-World Test-Driven Development

Joshua Greene,Michael Katz,Raywenderlich Tutorial Team
IOS Test Driven Development by Tutorials First Edition Learn Real World Test Driven Development Book PDF

Author : Joshua Greene,Michael Katz,Raywenderlich Tutorial Team
Publisher : Unknown
Page : 328 pages
File Size : 41,8 Mb
Release : 2019-12-02
Category : Computers
ISBN : 194287880X

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IOS Test-Driven Development by Tutorials (First Edition): Learn Real-World Test-Driven Development by Joshua Greene,Michael Katz,Raywenderlich Tutorial Team Pdf

Learn how to test iOS Applications! iOS Test-Driven Development introduces you to a broad range of concepts with regard to not only writing an application from scratch with testing in mind, but also applying these concepts to already written applications which have little or no tests written for their functionality. Who This Book Is For This book is for intermediate iOS developers who already know the basics of iOS and Swift development but want to learn how to write code which is both testable and maintainable. Topics Covered in iOS Test-Driven Development The TDD Cycle: Learn the concepts of Test-Driven Development and how to implement these concepts within an iOS application. Test Expressions and Expectations: Learn how to test both synchronous code using expressions and asynchronous code using expectations. Test RESTful Networking: Write tests to verify networking endpoints and the ability to mock the returned results. Test Authentication: Write tests which run against authenticated endpoints. Legacy Problems: Explore the problems legacy applications written without any unit tests or without thought of testing the code. Breaking Dependencies into Modules: Learn how to take dependencies within your code and compartmentalize these into their own modules with their own tests. Refactoring Large Classes: Learn how to refactor large unweilding classes into smaller more manageable and testable classes / objects. One thing you can count on: after reading this book, you'll be prepared to write testable applications which you can have confidence in making changes too with the knowledge your tests will catch breaking changes.

Ios Unit Testing by Example

Jon Reid
Ios Unit Testing by Example Book PDF

Author : Jon Reid
Publisher : Pragmatic Bookshelf
Page : 300 pages
File Size : 53,8 Mb
Release : 2019-12-05
Category : Computers
ISBN : 1680506811

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Ios Unit Testing by Example by Jon Reid Pdf

Fearlessly change the design of your iOS code with solid unit tests. Use Xcode's built-in test framework XCTest and Swift to get rapid feedback on all your code - including legacy code. Learn the tricks and techniques of testing all iOS code, especially view controllers (UIViewControllers), which are critical to iOS apps. Learn to isolate and replace dependencies in legacy code written without tests. Practice safe refactoring that makes these tests possible, and watch all your changes get verified quickly and automatically. Make even the boldest code changes with complete confidence. Manual code and UI testing get slower the deeper your navigation hierarchy goes. It can take several taps just to reach a particular screen, never mind the actual workflow tests. Automatic unit testing offers such rapid feedback that it can change the rules of development. Bring testing to iOS development, even for legacy code. Use XCTest to write unit tests in Swift for all your code. iOS developers typically reserve unit tests for their model classes alone. But that approach skips most of the code common to iOS apps, especially with UIViewControllers. Learn how to unit test these view controllers to expand your unit testing possibilities. Since good unit tests form the bedrock for safe refactoring, you're empowered to make bold changes. Learn how to avoid the most common mistakes Swift programmers make with the XCTest framework. Use code coverage to find holes in your test suites. Learn how to identify hard dependencies. Reshape the design of your code quickly, with less risk and less fear.

Pro iOS Testing

Avi Tsadok
Pro iOS Testing Book PDF

Author : Avi Tsadok
Publisher : Apress
Page : 302 pages
File Size : 50,8 Mb
Release : 2020-10-20
Category : Computers
ISBN : 1484263812

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Pro iOS Testing by Avi Tsadok Pdf

Discover what tools there are for unit testing in iOS, and how to work in a test-driven environment. This book reveals how testing is a crucial capability in any iOS developer’s toolset, and a minimum requirement in iOS interviews. A few years ago, tests on mobile platforms were not very popular. It wasn’t a technical constraint, more a cultural one. But these days it’s a crucial skill set, especially when projects become big and hard to maintain. This book shows you how to set up a testing target in XCode unit tests. You'll learn how to write unit tests properly and incorporate concepts like spies and mocks and code coverage. You'll also learn the philosophy behind the architecture of UI tests, and how to mock network and DB layers in testing. Write unbreakable UI tests performance tests, as well. And learn the difference between integration tests and snapshot testing. This book will show you how to maintain code that's not only bug-free but will also remain high quality over time and maintainable while you make changes and refactors during an app's life. Testing in all its aspects is the best way of maintaining iOS projects to run fast and reliably long after you've released them. Many iOS developers working today lack an understanding of the advantages of testing, and might be unfamiliar with tools that make the job easier, such as XCTest framework. With Pro iOS Testing you'll see how to develop and test apps that work and stay working for a long time. What You'll Learn Set up a stable testing system Extend an app's lifetime with testing before release Incorporate testing into your everyday development routine Write unbreakable UI tests performance tests Understand the difference between integration tests and snapshot testing Who This Book Is ForProfessional iOS developers with extensive experience in the basics of building apps.

Systems Analysis and Design

Gary B. Shelly,Harry J. Rosenblatt
Systems Analysis and Design Book PDF

Author : Gary B. Shelly,Harry J. Rosenblatt
Publisher : Unknown
Page : 731 pages
File Size : 54,5 Mb
Release : 2011
Category : System analysis
ISBN : 0538479884

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Systems Analysis and Design by Gary B. Shelly,Harry J. Rosenblatt Pdf

Systems Analysis and Design,Video Enganced International Edition offers a practical, visually appealing approach to information systems development.

Big Data Computing

Rajendra Akerkar
Big Data Computing Book PDF

Author : Rajendra Akerkar
Publisher : CRC Press
Page : 564 pages
File Size : 50,8 Mb
Release : 2013-12-05
Category : Business & Economics
ISBN : 9781466578388

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Big Data Computing by Rajendra Akerkar Pdf

Due to market forces and technological evolution, Big Data computing is developing at an increasing rate. A wide variety of novel approaches and tools have emerged to tackle the challenges of Big Data, creating both more opportunities and more challenges for students and professionals in the field of data computation and analysis. Presenting a mix of industry cases and theory, Big Data Computing discusses the technical and practical issues related to Big Data in intelligent information management. Emphasizing the adoption and diffusion of Big Data tools and technologies in industry, the book introduces a broad range of Big Data concepts, tools, and techniques. It covers a wide range of research, and provides comparisons between state-of-the-art approaches. Comprised of five sections, the book focuses on: What Big Data is and why it is important Semantic technologies Tools and methods Business and economic perspectives Big Data applications across industries

Hard Problems in Software Testing

Scott Tilley,Brianna Floss
Hard Problems in Software Testing Book PDF

Author : Scott Tilley,Brianna Floss
Publisher : Springer Nature
Page : 103 pages
File Size : 52,5 Mb
Release : 2022-05-31
Category : Technology & Engineering
ISBN : 9783031025471

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Hard Problems in Software Testing by Scott Tilley,Brianna Floss Pdf

This book summarizes the current hard problems in software testing as voiced by leading practitioners in the field. The problems were identified through a series of workshops, interviews, and surveys. Some of the problems are timeless, such as education and training, while others such as system security have recently emerged as increasingly important. The book also provides an overview of the current state of Testing as a Service (TaaS) based on an exploration of existing commercial offerings and a survey of academic research. TaaS is a relatively new development that offers software testers the elastic computing capabilities and generous storage capacity of the cloud on an as-needed basis. Some of the potential benefits of TaaS include automated provisioning of test execution environments and support for rapid feedback in agile development via continuous regression testing. The book includes a case study of a representative web application and three commercial TaaS tools to determine which hard problems in software testing are amenable to a TaaS solution. The findings suggest there remains a significant gap that must be addressed before TaaS can be fully embraced by the industry, particularly in the areas of tester education and training and a need for tools supporting more types of testing. The book includes a roadmap for enhancing TaaS to help bridge the gap between potential benefits and actual results. Table of Contents: Introduction / Hard Problems in Software Testing / Testing as a Service (TaaS) / Case Study and Gap Analysis / Summary / Appendix A: Hard Problems in Software Testing Survey / Appendix B: Google App Engine Code Examples / Appendix C: Sauce Labs Code Examples / References / Author Biographies

Provenance in Data Science

Leslie F. Sikos,Oshani W. Seneviratne,Deborah L. McGuinness
Provenance in Data Science Book PDF

Author : Leslie F. Sikos,Oshani W. Seneviratne,Deborah L. McGuinness
Publisher : Springer Nature
Page : 110 pages
File Size : 54,7 Mb
Release : 2021-04-26
Category : Computers
ISBN : 9783030676810

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Provenance in Data Science by Leslie F. Sikos,Oshani W. Seneviratne,Deborah L. McGuinness Pdf

RDF-based knowledge graphs require additional formalisms to be fully context-aware, which is presented in this book. This book also provides a collection of provenance techniques and state-of-the-art metadata-enhanced, provenance-aware, knowledge graph-based representations across multiple application domains, in order to demonstrate how to combine graph-based data models and provenance representations. This is important to make statements authoritative, verifiable, and reproducible, such as in biomedical, pharmaceutical, and cybersecurity applications, where the data source and generator can be just as important as the data itself. Capturing provenance is critical to ensure sound experimental results and rigorously designed research studies for patient and drug safety, pathology reports, and medical evidence generation. Similarly, provenance is needed for cyberthreat intelligence dashboards and attack maps that aggregate and/or fuse heterogeneous data from disparate data sources to differentiate between unimportant online events and dangerous cyberattacks, which is demonstrated in this book. Without provenance, data reliability and trustworthiness might be limited, causing data reuse, trust, reproducibility and accountability issues. This book primarily targets researchers who utilize knowledge graphs in their methods and approaches (this includes researchers from a variety of domains, such as cybersecurity, eHealth, data science, Semantic Web, etc.). This book collects core facts for the state of the art in provenance approaches and techniques, complemented by a critical review of existing approaches. New research directions are also provided that combine data science and knowledge graphs, for an increasingly important research topic.