The document discusses the Spock testing framework. It provides an overview of Spock, noting that it is a testing framework written in Groovy that embodies the behavior driven development (BDD) approach. Some key advantages of Spock are that it uses a more readable syntax compared to Java testing frameworks, has built-in support for stubs and mocks, and allows tests to be written in a given-when-then structure that resembles plain English.
Spock Testing Framework - The Next GenerationBTI360
You may be asking, "Do we really need another testing framework?" In this presentation Spencer says "Yes!" and will share some reasons why the Spock testing framework is gaining in popularity compared to other testing frameworks.
Spock is a Groovy-based testing framework that provides features for writing tests in a clear, expressive, and highly readable manner. Some key features highlighted in the document include:
- Spock tests are structured into blocks like "given", "when", "then" that give tests a clear structure and meaning.
- Spock includes powerful and easy to read assertion methods as well as the ability to display diffs when expectations are not met.
- Spock supports mocking and stubbing of dependencies in a simple way.
- Data-driven testing is first-class in Spock through features like the "where" block that allows input test data to be specified in a table.
This document provides an overview of Spring Boot and some of its key features. It discusses the origins and modules of Spring, how Spring Boot simplifies configuration and dependency management. It then covers examples of building Spring Boot applications that connect to a SQL database, use RabbitMQ for messaging, and schedule and run asynchronous tasks.
Spring Boot is a framework that makes it easy to create stand-alone, production-grade Spring based Applications that can be "just run". It takes an opinionated view of the Spring platform and third-party libraries so that new and existing Spring developers can quickly get started with minimal configuration. Key features include automatic configuration of Spring, embedded HTTP servers, starters for common dependencies, and monitoring endpoints.
The document provides an introduction to Frida, a dynamic instrumentation framework that can be used to inject custom JavaScript or libraries into applications. It discusses how Frida works by injecting a JavaScript engine into apps to gain access to memory and hook functions. It also covers installing and setting up Frida on Android and iOS, including with or without root/jailbreak. Specific examples are given for bypassing SSL pinning and jailbreak detection using Frida scripts. Other tools built on Frida like Frida-trace are also mentioned.
The Loom project has been under work for many years, and just delivered Virtual Threads as a preview feature in the JDK 19. We now have a very precise idea of what they are and what you can do with them. Our good old Threads, created more than 25 years ago, will see a new kind of lightweight threads. This presentation shows you that creating a thread is easier and much cheaper, allowing the creation of millions of them in a single JVM. These virtual threads can be block at almost no cost. These new virtual threads bring with them new notions that will be covered in this talk. Loom threads are coming, and they will change the landscape of concurrent programming in Java.
Spock Testing Framework - The Next GenerationBTI360
You may be asking, "Do we really need another testing framework?" In this presentation Spencer says "Yes!" and will share some reasons why the Spock testing framework is gaining in popularity compared to other testing frameworks.
Spock is a Groovy-based testing framework that provides features for writing tests in a clear, expressive, and highly readable manner. Some key features highlighted in the document include:
- Spock tests are structured into blocks like "given", "when", "then" that give tests a clear structure and meaning.
- Spock includes powerful and easy to read assertion methods as well as the ability to display diffs when expectations are not met.
- Spock supports mocking and stubbing of dependencies in a simple way.
- Data-driven testing is first-class in Spock through features like the "where" block that allows input test data to be specified in a table.
This document provides an overview of Spring Boot and some of its key features. It discusses the origins and modules of Spring, how Spring Boot simplifies configuration and dependency management. It then covers examples of building Spring Boot applications that connect to a SQL database, use RabbitMQ for messaging, and schedule and run asynchronous tasks.
Spring Boot is a framework that makes it easy to create stand-alone, production-grade Spring based Applications that can be "just run". It takes an opinionated view of the Spring platform and third-party libraries so that new and existing Spring developers can quickly get started with minimal configuration. Key features include automatic configuration of Spring, embedded HTTP servers, starters for common dependencies, and monitoring endpoints.
The document provides an introduction to Frida, a dynamic instrumentation framework that can be used to inject custom JavaScript or libraries into applications. It discusses how Frida works by injecting a JavaScript engine into apps to gain access to memory and hook functions. It also covers installing and setting up Frida on Android and iOS, including with or without root/jailbreak. Specific examples are given for bypassing SSL pinning and jailbreak detection using Frida scripts. Other tools built on Frida like Frida-trace are also mentioned.
The Loom project has been under work for many years, and just delivered Virtual Threads as a preview feature in the JDK 19. We now have a very precise idea of what they are and what you can do with them. Our good old Threads, created more than 25 years ago, will see a new kind of lightweight threads. This presentation shows you that creating a thread is easier and much cheaper, allowing the creation of millions of them in a single JVM. These virtual threads can be block at almost no cost. These new virtual threads bring with them new notions that will be covered in this talk. Loom threads are coming, and they will change the landscape of concurrent programming in Java.
This document contains an agenda and slides for a presentation on Spring Boot. The presentation introduces Spring Boot, which allows developers to rapidly build production-grade Spring applications with minimal configuration. It demonstrates how to quickly create a "Hello World" application using Spring Boot and discusses some of the features it provides out-of-the-box like embedded servers and externalized configuration. The presentation also shows how to add additional functionality like Thymeleaf templates and actuator endpoints to monitor and manage applications.
This document discusses Aspect Oriented Programming (AOP) using the Spring Framework. It defines AOP as a programming paradigm that extends OOP by enabling modularization of crosscutting concerns. It then discusses how AOP addresses common crosscutting concerns like logging, validation, caching, and transactions through aspects, pointcuts, and advice. It also compares Spring AOP and AspectJ, and shows how to implement AOP in Spring using annotations or XML.
Here are slides from basic training for Gradle.
This training is aimed to help Java Developers to get hands-on experience to use Gradle as a primary build tool for Java source code starting from simple compilation continuing with different kinds of tests and finishing with code quality analysis and artefacts publishing.
This document discusses Spring Boot, an open source framework for building microservices and web applications. It provides scaffolding to help build Spring-based services more quickly. The author chose Spring Boot for a project because it integrates well with other frameworks like Jersey and allows building services quickly. Key Spring Boot components discussed include REST frameworks, embedded servers, logging frameworks, security, and metrics. The author outlines their Spring Boot stack and package structure. They discuss using Spring Data for persistence, Swagger for API documentation, and helper libraries like Lombok. The document also covers testing approaches using REST Assured and Spring Integration.
Spring Boot is a framework that makes it easy to create stand-alone, production-grade Spring based applications that you can "just run". It allows you to create stand-alone applications, embed Tomcat/Jetty directly with no need to deploy WAR files, and provides starter POMs to simplify configuration. Spring Boot applications are run by adding a spring-boot-gradle-plugin and can then be run as an executable JAR. Features include REST endpoints, security, external configuration, and production monitoring via Actuators.
Exploring the power of Gradle in android studio - Basics & BeyondKaushal Dhruw
In this presentation we will explore the official build system of android studio. Gradle. We will discuss about Gradle basics, Gradle Wrapper and its usage in android studio. We will explore the possibilities with gradle by covering beginner and advanced level topics.
What you can expect:
1. Just enough gradle to get started.
2. Creating simple and custom gradle tasks.
3. Gradle in android studio
4. Exploring product flavors
5. Using product flavors to our advantage.
6. facebook's stetho debug bridge and configuration via flavors.
**** Java Certification Training: https://www.edureka.co/java-j2ee-soa-training ****
This Edureka tutorial on “Lambda Expressions in Java” will introduce you to a new Java feature called Lambda Expressions. It will also talk about the functional interface in Java. Through this tutorial you will learn the following topics:
Java Lambda Expressions
Functional Interface
Lambda Parameters
Lambda as an Object
Lambda Value Capture
Method References as lambdas
Check out our Java Tutorial blog series: https://goo.gl/osrGrS
Check out our complete Youtube playlist here: https://goo.gl/gMFLx3
The document provides information about Core Java concepts including:
1. James Gosling initiated the Java language project in 1991 and Sun released the first public implementation as Java 1.0 in 1995 with the promise of "Write Once, Run Anywhere".
2. Oracle acquired Sun Microsystems in 2010 and has worked to build fully integrated systems optimized for performance.
3. The document discusses the differences between C++ and Java and covers Java concepts like objects, classes, methods, variables, data types, identifiers, arrays and the Java Virtual Machine (JVM).
In Java 8, the java.util.function has numerous built-in interfaces. Other packages in the Java library (notably java.util.stream package) make use of the interfaces defined in this package. Java 8 developers should be familiar with using key interfaces provided in this package. This presentation provides an overview of four key functional interfaces (Consumer, Supplier, Function, and Predicate) provided in this package.
This document discusses JavaScript variables, functions, and objects. It covers JavaScript datatypes like numbers, strings, and objects. It describes variable scope and how variables are hoisted or moved to the top of their function. It also discusses how functions can be defined and used as variables. Global objects like the window object are described. Finally, it provides examples of defining basic functions and using objects with properties and methods.
The document provides an introduction to back-end development, including definitions of the internet, World Wide Web, and request-response cycle. It explains the differences between front-end and back-end development and lists common front-end and back-end programming languages. Main protocols like IP, TCP, UDP, and HTTP are described. Additional back-end concepts covered include CRUD functionality, securing passwords, HTTPS, and APIs. Resources for further learning back-end development with languages like Python, Node.js, and PHP are also provided.
1) Reactive programming is a new programming paradigm that is asynchronous and non-blocking, treating data flows as event-driven streams.
2) Traditional REST APIs are synchronous and blocking with limitations on concurrent users, while reactive programming supports asynchronous operations, uses fewer threads, and enables back pressure on data streams.
3) Key aspects of reactive programming include reactive streams specifications, publishers that represent data sources, subscribers, and asynchronous non-blocking libraries like RxJava and Project Reactor that implement the specifications.
This document discusses challenges with asynchronous JavaScript programming using callbacks and promises, and introduces several approaches to help address these challenges, including async/await, generators, reactive programming with Rx observables, and functional reactive programming with Cycle.js. It provides examples of callback hell and promise limitations. Functional reactive programming uses functional utilities like map and filter to automatically propagate changes through observable data streams. Cycle.js implements a functional reactive paradigm for building asynchronous apps in a simple, extensible, and testable way by containing side effects and making data flows explicit.
The document provides an overview of JavaScript programming. It discusses the history and components of JavaScript, including ECMAScript, the DOM, and BOM. It also covers JavaScript basics like syntax, data types, operators, and functions. Finally, it introduces object-oriented concepts in JavaScript like prototype-based programming and early vs. late binding.
Spring boot is a great and relatively a new project from Spring.io. The presentation discusses about basics of spring boot to advance topics. Sample demo apps are available here : https://github.com/bhagwat/spring-boot-samples
This document provides an introduction to building web applications with the Flask framework in Python. It discusses why Flask is a good option, gives an overview of Python and its advantages as a language, and demonstrates basic Flask concepts like routing, templates, models, and deployment. The key steps shown include setting up a virtual environment, creating a basic "Hello World" app, using Jinja templates, the Flask-SQLAlchemy extension for databases, and deploying to platforms like Heroku.
This document discusses Node.js functions, modules, and exporting modules. It covers defining functions, parameters, and return values. It also covers the different types of modules in Node.js including core modules, local modules, and third party modules. Finally, it discusses how to export variables, functions, objects, and classes from modules using module.exports.
This document provides an overview of Spring and Spring Boot frameworks. It discusses the history of Java and Spring, how Spring provides inversion of control and dependency injection. It also covers Spring MVC for web applications, Spring Data for data access, and how Spring Boot aims to simplify configuration. The document concludes with discussing some next steps including looking at Spring Security, Spring Cloud, and using Spring with other JVM languages.
Whitebox testing of Spring Boot applicationsYura Nosenko
This document discusses whitebox testing of Spring Boot applications. It begins with introductions and backgrounds, then discusses issues with existing testing frameworks like TestNG and JUnit 4. It proposes alternatives like Spock and JUnit 5, highlighting advantages of each. It also provides an overview of Spring Boot testing capabilities, focusing on integration testing support, transaction handling, main components, and reactive support. It concludes with examples of setting up Spring Boot testing with Spock and JUnit 5.
The genesis of clusterlib - An open source library to tame your favourite sup...Arnaud Joly
The presentations tells the story of clusterlib an open source package from the problem statement to a first grade an open source library. Awesome tools are also presented for software projects.
The goal of the clusterlib is to ease the creation, launch and management of embarrassingly parallel jobs on supercomputers with schedulers such as SLURM and SGE.
This document contains an agenda and slides for a presentation on Spring Boot. The presentation introduces Spring Boot, which allows developers to rapidly build production-grade Spring applications with minimal configuration. It demonstrates how to quickly create a "Hello World" application using Spring Boot and discusses some of the features it provides out-of-the-box like embedded servers and externalized configuration. The presentation also shows how to add additional functionality like Thymeleaf templates and actuator endpoints to monitor and manage applications.
This document discusses Aspect Oriented Programming (AOP) using the Spring Framework. It defines AOP as a programming paradigm that extends OOP by enabling modularization of crosscutting concerns. It then discusses how AOP addresses common crosscutting concerns like logging, validation, caching, and transactions through aspects, pointcuts, and advice. It also compares Spring AOP and AspectJ, and shows how to implement AOP in Spring using annotations or XML.
Here are slides from basic training for Gradle.
This training is aimed to help Java Developers to get hands-on experience to use Gradle as a primary build tool for Java source code starting from simple compilation continuing with different kinds of tests and finishing with code quality analysis and artefacts publishing.
This document discusses Spring Boot, an open source framework for building microservices and web applications. It provides scaffolding to help build Spring-based services more quickly. The author chose Spring Boot for a project because it integrates well with other frameworks like Jersey and allows building services quickly. Key Spring Boot components discussed include REST frameworks, embedded servers, logging frameworks, security, and metrics. The author outlines their Spring Boot stack and package structure. They discuss using Spring Data for persistence, Swagger for API documentation, and helper libraries like Lombok. The document also covers testing approaches using REST Assured and Spring Integration.
Spring Boot is a framework that makes it easy to create stand-alone, production-grade Spring based applications that you can "just run". It allows you to create stand-alone applications, embed Tomcat/Jetty directly with no need to deploy WAR files, and provides starter POMs to simplify configuration. Spring Boot applications are run by adding a spring-boot-gradle-plugin and can then be run as an executable JAR. Features include REST endpoints, security, external configuration, and production monitoring via Actuators.
Exploring the power of Gradle in android studio - Basics & BeyondKaushal Dhruw
In this presentation we will explore the official build system of android studio. Gradle. We will discuss about Gradle basics, Gradle Wrapper and its usage in android studio. We will explore the possibilities with gradle by covering beginner and advanced level topics.
What you can expect:
1. Just enough gradle to get started.
2. Creating simple and custom gradle tasks.
3. Gradle in android studio
4. Exploring product flavors
5. Using product flavors to our advantage.
6. facebook's stetho debug bridge and configuration via flavors.
**** Java Certification Training: https://www.edureka.co/java-j2ee-soa-training ****
This Edureka tutorial on “Lambda Expressions in Java” will introduce you to a new Java feature called Lambda Expressions. It will also talk about the functional interface in Java. Through this tutorial you will learn the following topics:
Java Lambda Expressions
Functional Interface
Lambda Parameters
Lambda as an Object
Lambda Value Capture
Method References as lambdas
Check out our Java Tutorial blog series: https://goo.gl/osrGrS
Check out our complete Youtube playlist here: https://goo.gl/gMFLx3
The document provides information about Core Java concepts including:
1. James Gosling initiated the Java language project in 1991 and Sun released the first public implementation as Java 1.0 in 1995 with the promise of "Write Once, Run Anywhere".
2. Oracle acquired Sun Microsystems in 2010 and has worked to build fully integrated systems optimized for performance.
3. The document discusses the differences between C++ and Java and covers Java concepts like objects, classes, methods, variables, data types, identifiers, arrays and the Java Virtual Machine (JVM).
In Java 8, the java.util.function has numerous built-in interfaces. Other packages in the Java library (notably java.util.stream package) make use of the interfaces defined in this package. Java 8 developers should be familiar with using key interfaces provided in this package. This presentation provides an overview of four key functional interfaces (Consumer, Supplier, Function, and Predicate) provided in this package.
This document discusses JavaScript variables, functions, and objects. It covers JavaScript datatypes like numbers, strings, and objects. It describes variable scope and how variables are hoisted or moved to the top of their function. It also discusses how functions can be defined and used as variables. Global objects like the window object are described. Finally, it provides examples of defining basic functions and using objects with properties and methods.
The document provides an introduction to back-end development, including definitions of the internet, World Wide Web, and request-response cycle. It explains the differences between front-end and back-end development and lists common front-end and back-end programming languages. Main protocols like IP, TCP, UDP, and HTTP are described. Additional back-end concepts covered include CRUD functionality, securing passwords, HTTPS, and APIs. Resources for further learning back-end development with languages like Python, Node.js, and PHP are also provided.
1) Reactive programming is a new programming paradigm that is asynchronous and non-blocking, treating data flows as event-driven streams.
2) Traditional REST APIs are synchronous and blocking with limitations on concurrent users, while reactive programming supports asynchronous operations, uses fewer threads, and enables back pressure on data streams.
3) Key aspects of reactive programming include reactive streams specifications, publishers that represent data sources, subscribers, and asynchronous non-blocking libraries like RxJava and Project Reactor that implement the specifications.
This document discusses challenges with asynchronous JavaScript programming using callbacks and promises, and introduces several approaches to help address these challenges, including async/await, generators, reactive programming with Rx observables, and functional reactive programming with Cycle.js. It provides examples of callback hell and promise limitations. Functional reactive programming uses functional utilities like map and filter to automatically propagate changes through observable data streams. Cycle.js implements a functional reactive paradigm for building asynchronous apps in a simple, extensible, and testable way by containing side effects and making data flows explicit.
The document provides an overview of JavaScript programming. It discusses the history and components of JavaScript, including ECMAScript, the DOM, and BOM. It also covers JavaScript basics like syntax, data types, operators, and functions. Finally, it introduces object-oriented concepts in JavaScript like prototype-based programming and early vs. late binding.
Spring boot is a great and relatively a new project from Spring.io. The presentation discusses about basics of spring boot to advance topics. Sample demo apps are available here : https://github.com/bhagwat/spring-boot-samples
This document provides an introduction to building web applications with the Flask framework in Python. It discusses why Flask is a good option, gives an overview of Python and its advantages as a language, and demonstrates basic Flask concepts like routing, templates, models, and deployment. The key steps shown include setting up a virtual environment, creating a basic "Hello World" app, using Jinja templates, the Flask-SQLAlchemy extension for databases, and deploying to platforms like Heroku.
This document discusses Node.js functions, modules, and exporting modules. It covers defining functions, parameters, and return values. It also covers the different types of modules in Node.js including core modules, local modules, and third party modules. Finally, it discusses how to export variables, functions, objects, and classes from modules using module.exports.
This document provides an overview of Spring and Spring Boot frameworks. It discusses the history of Java and Spring, how Spring provides inversion of control and dependency injection. It also covers Spring MVC for web applications, Spring Data for data access, and how Spring Boot aims to simplify configuration. The document concludes with discussing some next steps including looking at Spring Security, Spring Cloud, and using Spring with other JVM languages.
Whitebox testing of Spring Boot applicationsYura Nosenko
This document discusses whitebox testing of Spring Boot applications. It begins with introductions and backgrounds, then discusses issues with existing testing frameworks like TestNG and JUnit 4. It proposes alternatives like Spock and JUnit 5, highlighting advantages of each. It also provides an overview of Spring Boot testing capabilities, focusing on integration testing support, transaction handling, main components, and reactive support. It concludes with examples of setting up Spring Boot testing with Spock and JUnit 5.
The genesis of clusterlib - An open source library to tame your favourite sup...Arnaud Joly
The presentations tells the story of clusterlib an open source package from the problem statement to a first grade an open source library. Awesome tools are also presented for software projects.
The goal of the clusterlib is to ease the creation, launch and management of embarrassingly parallel jobs on supercomputers with schedulers such as SLURM and SGE.
For the full video of this presentation, please visit:
http://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/may-2015-embedded-vision-summit-opencv
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Gary Bradski, President and CEO of the OpenCV Foundation, presents the "OpenCV Open Source Computer Vision Library: Latest Developments" tutorial at the May 2015 Embedded Vision Summit.
OpenCV is an enormously popular open source computer vision library, with over 9 million downloads. Originally used mainly for research and prototyping, in recent years OpenCV has increasingly been used in deployed products on a wide range of platforms from cloud to mobile.
The latest version, OpenCV 3.0 is currently in beta, and is a major overhaul, bringing OpenCV up to modern C++ standards and incorporating expanded support for 3D vision. The new release also introduces a modular “contrib” facility that enables independently developed modules to be quickly integrated with OpenCV as needed, providing a flexible mechanism to allow developers to experiment with new techniques before they are officially integrated into the library.
In this talk, Gary Bradski, head of the OpenCV Foundation, provides an insider’s perspective on the new version of OpenCV and how developers can utilize it to maximum advantage for vision research, prototyping, and product development.
The document describes a meetup organized by Cork Software Crafters on breaking dependencies in legacy code. The meetup agenda includes a welcome from 6:15-6:30pm, an introduction from 6:30-6:45pm, hands-on time from 6:45-8:00pm, and a retrospective from 8:00pm to discuss solutions. The facilitator is Paulo Clavijo and participants are encouraged to suggest new topics and hands-on sessions for future meetups.
The document provides an introduction to the Java programming language. It discusses Java's history and key editions. It also covers basic Java concepts like compiling and running a simple "Hello World" program, primitive data types, variables, operators, conditional statements like if/else, and iterative structures like the for loop. Examples are provided throughout to demonstrate syntax and output.
This document discusses how crowdsourcing ideas and feedback within an integrated development environment (IDE) can speed up the software development process. It proposes collecting data on code usage patterns from developers and using that data to provide automated code completions, documentation, and help for common tasks. Error reports could also be crowdsourced and linked to existing solutions to help developers quickly resolve issues. The goal is to leverage collective intelligence and experience within the development community to reduce individual learning curves and speeds.
The document discusses using Groovy to improve Java testing. Groovy allows writing tests more concisely using features like closures, native list/map syntax, and dynamic proxies. It also enables mocking collaborators without external libraries. Groovy integrates fully with JUnit and TestNG and helps test exceptions, databases using DbUnit, and drive functional UI tests more easily.
This workshop is about testing the right way. Get a clear view on how to test your code in an efficient and useful way!
This first testing-related workshop is about all aspects of unit testing. Integration testing and TDD will have their own dedicated workshops.
This document provides an overview of key concepts covered in the Sun Certified Java Programmer (SCJP) 1.4 exam, including:
- Arrays in Java - how to declare, construct, initialize, and access array elements.
- Class modifiers like public, private, protected that restrict access, and final that prevents subclassing. Method and variable modifiers like static, abstract, synchronized are also discussed.
- Constructors - how they are invoked using this() and super(), default constructors, and cases where a default constructor is not provided by the compiler.
The document gives examples of each concept and is intended to help readers prepare for the SCJP certification exam by learning about its main objectives
original (better quality) on https://docs.google.com/presentation/d/1bnwj8CrFGo5KekONYSeIHySdkoXZiewJxkHcZjXnzkQ/
slides from OpenDaylight Summit Oct 2016 Seattle
Inria Tech Talk : Comment améliorer la qualité de vos logiciels avec STAMPStéphanie Roger
Que vous soyez développeur ou entrepreneur, découvrez le projet STAMP piloté par Inria, l'institut national de recherche dédié aux sciences du numérique.
Abstract 2: "Advanced testing in action on a Java project"
In 2019 we're all used to writing automated tests in Java projects. It's now time to move up the chain and learn how to implement more complex type of testing.
This talk will demonstrate advanced testing practices used by the XWiki open source project (http://xwiki.org), and using Java, Maven, Docker and Jenkins and more:
* Testing for backward compatibility with Revapi and an associated strategy
* Testing for coverage with Jacoco and defining a viable strategy for slowing improving the situation
* Testing the quality of your tests with Descartes Mutation testing
* Automatically enriching your test suite with DSpot
* Testing various configurations with Docker containers and Jenkins
The document summarizes the new features in Groovy 1.6, including performance improvements, syntax enhancements, compile-time and runtime metaprogramming additions, the Grape module system for managing script dependencies, improvements to Swing integration, built-in support for the JSR-223 scripting engine, a domain-specific language for JMX, and OSGi readiness. The presentation highlights key new features like annotations, multiple variable assignment, optional returns, and annotation processing through AST transformations.
The document appears to be a laboratory manual for a Java programming lab course. It includes:
1) An outline of the course syllabus, marks scheme, and lab plan covering topics like classes and objects, inheritance, exceptions, files and more across 10 lab turns.
2) Objectives of the lab to develop understanding of Java concepts like OOPs, packages, strings, files and concurrency.
3) Examples of basic Java programs to print text, calculate area, check prime numbers and generate a number ladder.
Après avoir fait ce talk à la conférence NSSpain, Simone Civetta va nous expliquer sur quelles métriques il est possible de se baser pour évaluer la qualité d’un code source. Cette question étant toujours sujette à débat, préparez vos arguments !
Most projects in CF now involve creating some type of consumable CFC Endpoint or API Service... do you Unit test your API, do you use Integration Tests on your API? How many ways do you test your API? Not all tests are created equal.
Description
Most projects in CF now involve creating some type of consumable CFC Endpoint or API Service... do you Unit test your API, do you use Integration Tests on your API? How many ways do you test your API? Not all tests are created equal.
We build our CFCs and CF API to be consumed with CF Apps, Mobile Apps, Javascript apps and devices we haven’t even thought about yet. To be smart developers we need to be able to test our CFC endpoints, and the code that uses those endpoints.
We’ll learn how to test your API serverside with Testbox and Clientside with Jasmine.
With Testbox and Jasmine both using BDD, your test code can almost be isomorphic.
Attendees should have some exposure to CFCs as endpoints, or CF API creations, and consuming with other languages/devices, in this case, JavaScript.
## Attendees will learn
How to use Testbox to test your CFCs 2 different ways
Different types and ways to test JavaScript
Overview of client/server side testing tools
Building testing into your workflow
You are one of many that are not testing your APIs thoroughly
The document discusses the building blocks of a SystemVerilog testbench. It describes the program block, which encapsulates test code and allows reading/writing signals and calling module routines. Interface and clocking blocks are used to connect the testbench to the design under test. Assertions, randomization, and other features help create flexible testbenches to verify design correctness.
The document discusses developing Groovy scripts securely and productively in the cloud for Oracle Application Developer Framework (ADF). It outlines using Groovy AST transformations to add debugging capabilities and runtime security checks when executing scripts in the cloud. Caching is also discussed to improve performance of compiling thousands of scripts across many applications. The implementation transforms the AST to wrap method calls and inject breakpoints while limiting access to restricted APIs.
OpenMetadata Community Meeting - 5th June 2024OpenMetadata
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
Need for Speed: Removing speed bumps from your Symfony projects ⚡️Łukasz Chruściel
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
Hand Rolled Applicative User ValidationCode KataPhilip Schwarz
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
UI5con 2024 - Boost Your Development Experience with UI5 Tooling ExtensionsPeter Muessig
The UI5 tooling is the development and build tooling of UI5. It is built in a modular and extensible way so that it can be easily extended by your needs. This session will showcase various tooling extensions which can boost your development experience by far so that you can really work offline, transpile your code in your project to use even newer versions of EcmaScript (than 2022 which is supported right now by the UI5 tooling), consume any npm package of your choice in your project, using different kind of proxies, and even stitching UI5 projects during development together to mimic your target environment.
Zoom is a comprehensive platform designed to connect individuals and teams efficiently. With its user-friendly interface and powerful features, Zoom has become a go-to solution for virtual communication and collaboration. It offers a range of tools, including virtual meetings, team chat, VoIP phone systems, online whiteboards, and AI companions, to streamline workflows and enhance productivity.
Introducing Crescat - Event Management Software for Venues, Festivals and Eve...Crescat
Crescat is industry-trusted event management software, built by event professionals for event professionals. Founded in 2017, we have three key products tailored for the live event industry.
Crescat Event for concert promoters and event agencies. Crescat Venue for music venues, conference centers, wedding venues, concert halls and more. And Crescat Festival for festivals, conferences and complex events.
With a wide range of popular features such as event scheduling, shift management, volunteer and crew coordination, artist booking and much more, Crescat is designed for customisation and ease-of-use.
Over 125,000 events have been planned in Crescat and with hundreds of customers of all shapes and sizes, from boutique event agencies through to international concert promoters, Crescat is rigged for success. What's more, we highly value feedback from our users and we are constantly improving our software with updates, new features and improvements.
If you plan events, run a venue or produce festivals and you're looking for ways to make your life easier, then we have a solution for you. Try our software for free or schedule a no-obligation demo with one of our product specialists today at crescat.io
May Marketo Masterclass, London MUG May 22 2024.pdfAdele Miller
Can't make Adobe Summit in Vegas? No sweat because the EMEA Marketo Engage Champions are coming to London to share their Summit sessions, insights and more!
This is a MUG with a twist you don't want to miss.
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
Microservice Teams - How the cloud changes the way we workSven Peters
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
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See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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A Study of Variable-Role-based Feature Enrichment in Neural Models of CodeAftab Hussain
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
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Introduction
Many modern programming languages are
popular due to the libraries and frameworks that
are written on them. Where would Ruby be
without Rails?
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The Java visiting card is primarily
Spring and Hibernate
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Kotlin... To be honest, it seems to me that the
ratings of this language are artificially
overstated.
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So, Spock
To begin with, this test framework is written in
Groovy.
For large projects, this language is not
recommended, like and Scala, but for small
scripts and tests it is very suitable.
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Groovy
In fact, this language is a superset of Java, that
is, if you don’t know how to write-write in Java.
But knowledge of Groovy syntax can save you
time.
Groovy is a kind of script version of Java. It's
simpler, more compact, but at the same time
provides all the power of the JVM.
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A classic example is
`hello world`
Java:
System.out.println("Hello world!");
Groovy:
println 'Hello world!'
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Economy
println 'Hello world!'
The length of the method name
Two brackets
Quotes. Single quotes are easier to type
Semicolon
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Reading data from a file:
BufferedReader br = new BufferedReader(new
FileReader("file.txt"));
try {
StringBuilder sb = new StringBuilder();
String line = br.readLine();
while (line != null) {
sb.append(line);
sb.append(System.lineSeparator());
line = br.readLine();
System.out.println("line = " + line);
}
} finally {
if (br != null) {
br.close();
}
}
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This hulk can be placed
in one line
new File("file.txt")
.eachLine { println "line = $it" }
But most of all I like Groovy's ability to laconically
process collections.
Even revolutionary innovations in Java 8 do not
approach them.
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Working with a collection
Java:
List<Integer> results =
Stream.of(1, 2, 3)
.map(v -> v * 2)
.collect(Collectors.toList());
Groovy:
List results = [1, 2, 3]
.collect { it * 2 }
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Example of filtering
Java:
List<Integer> evenNumbers =
Stream.of(1, 2, 3, 4).filter(v -> v %
2 == 0).collect(Collectors.toList());
Groovy:
List evenNumbers = [1, 2, 3, 4]
.findAll { it % 2 == 0 }
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Let's get back to testing
In the world of Java, JUnit rules in conjunction
with any of the available frameworks for
mocking (Mockito, EasyMock, PowerMock,
etc.).
This is enough to write a test of any complexity,
but this classic approach has drawbacks.
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There is no way to give tests a normal and
understandable names. The names of
methods in the style of Camel Case are not
considered, and Junit 5 has not yet received
the proper distribution.
‘shouldAddToCartIfItemIsAvailaibleAndThe
LimitIsNotExceededAnd…..’.
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Tests are overloaded with verbose constructs,
such as Collections.singletonList(),
Verify(…), any(MyAwesomeAbstract-
FactoryBaseClass.class) and so on.
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Because these frameworks don’t allow a
normal way of dividing the testing process into
a configuration phase, testing itself and
checking the result, very often the tests look
just like a pile of incomprehensible, and
bizarrely mixed code.
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In order to test incoming arguments, you need
to build cumbersome structures.
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There is no normal support for parameterized
tests. As a result, to cover all cases, we need
to write many similar tests.
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When the tests begin to bring a lot of pain, we
try not to use them, or we write trashy, and as a
result we then face even greater pain.
Bad tests don’t guarantee that any new code
change will not break anything else.
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Tests written on Groovy look smoother, they are
easier to read and understand. But some
people did not think it was enough, and after a
while a group of enthusiasts wrote their test
framework, Spock.
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Spock Framework
For many years, programmers have come to the
conclusion that the more code resembles the
usual sentences of the human language, the
easier and faster it can be understood.
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In programming practice, this is not always
applicable. But in testing, due to the fact that all
tests are similar in their idea, this practice is
successfully used.
Programming languages that allow you to flexibly
change your syntax, were able to realize this idea
to the fullest extent.
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Currently, tests can be started by customers
who are far from programming. All that is
needed is to write the business requirements in
a compact form. Next, programmers will simply
translate this test into code.
For example: "When the user press the start
button. then the menu is shown as in the
picture".
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A simpler example
Addition of numbers 2 and 2 must return 4
This short formulation can already be used as a
test name. It remains only to describe his body.
As in any other test, we have the initial data,
the operation that we need to test and check
the result.
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This can be described in three words:
given, when, then:
Addition of numbers 2 and 2 must return 4
given: 2, 2
when: 2 + 2
then: 4
This approach is called BDD (Behavior Driven
Development).
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Spock is a modern framework for testing. It's
written in Groovy, includes tools for stubbing
and mocking and embodies the idea of BDD. In
fact, this is a domain specific language (DSL),
created specifically for writing tests.
It is an extension of the Junit runner and you do
not have to change anything in the
infrastructure to run these tests.
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Advantages
Groovy is not as verbose as Java
The special syntax is aimed specifically at testing
Built-in support for Stubs and Mocks
Extends Junit runner
Simple testing with parameters
Keywords for all testing phases (given, when, then …)
Ease of describing methods
Many other specific features
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Fixture Methods
Run before every feature method:
def setup() {}
Run after every feature method:
def cleanup() {}
Run before the first feature method:
def setupSpec() {}
Run after the last feature method:
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Blocks Order
given: data initialization goes here (includes
creating mocks)
when: invoke your test subject here and assign it
to a variable
then: assert data here
cleanup: optional
where: optional: provide parameterized data
(tables or pipes)
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Data Tables
class Math extends Specification {
def "maximum of two numbers"(int a, int
b, int c) {
expect:
Math.max(a, b) == c
where:
a | b || c
1 | 3 || 3 // passes
7 | 4 || 4 // fails
0 | 0 || 0 // passes
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Unrolling
A method annotated with @Unroll will have its
rows from data table reported independently:
@Unroll
def "maximum of two numbers"() { ... }
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Result with Unroll
maximum of two numbers[0] PASSED
maximum of two numbers[1] FAILED
Math.max(a, b) == c
| | | | |
| 7 0 | 7
42 false
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Result Without Unroll
We have to figure out which row failed manually
maximum of two numbers FAILED
Condition not satisfied:
Math.max(a, b) == c
| | | | |
| 7 0 | 7
42 false
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Data Pipes
Right side must be Collection, String or Iterable.
where:
a << [3, 7, 0]
b << [5, 0, 0]
c << [5, 7, 0]
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Multi-Variable Data Pipes
where:
[a,b,c] << sql.rows("select a,b,c from maxdata")
where:
row << sql.rows("select * from maxdata")
// pick apart columns
a = row.a
b = row.b
c = row.c
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Ignore some variable
where:
[a,b] << [[1,2,3],[1,2,3],[4,5,6]]
[a, b, _, c] << sql.rows("select * from maxdata")
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Combine data tables, pipes and
assignments
where:
a | _
3 | _
7 | _
0 | _
b << [5, 0, 0]
c = a > b ? a : b
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Create Mock
Mocks are Lenient (return default value for undefined mock
calls)
Subscriber subscriber = Mock()
def subscriber2 = Mock(Subscriber)
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Using Mock
def "should send messages to all subscribers"() {
when:
publisher.send("hello")
then:
1 * subscriber.receive("hello") //subsriber should call
receive with "hello" once.
1 * subscriber2.receive("hello")
}
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Cardinality
1 * subscriber.receive("hello") // exactly one call
0 * subscriber.receive("hello") // zero calls
(1..3) * subscriber.receive("hello") // between one and three
calls (inclusive)
(1.._) * subscriber.receive("hello") // at least one call
(_..3) * subscriber.receive("hello") // at most three calls
_ * subscriber.receive("hello") // any number of calls,
including zero
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Target
A call to `subscriber`:
1 * subscriber.receive("hello")
A call to any mock object:
1 * _.receive("hello")
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Method
A method named 'receive'
1 * subscriber.receive("hello")
A method whose name matches the given regular
expression. Here: method name starts with 'r' and
ends with 'e'.
1 * subscriber./r.*e/("hello")
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Argument
1 * subscriber.receive("hello") // an argument that is
equal to the String "hello"
1 * subscriber.receive(!"hello") // an argument that is
unequal to the String "hello"
1 * subscriber.receive() // the empty argument list
(would never match in our example)
1 * subscriber.receive(_) // any single argument
(including null)
1 * subscriber.receive(*_) // any argument list
(including the empty argument list)
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Argument
1 * subscriber.receive(!null) // any non-null argument
1 * subscriber.receive(_ as String) // any non-null argument
that is-a String
1 * subscriber.receive({ it.size() > 3 }) // an argument that
satisfies the given predicate
// (here: message length is greater than 3)
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Disadvantages of Spock
Due to some differences between Java and Groovy, for
example, different numeric data types, some tests on Groovy
look more cumbersome because type casting is required.
Also Spock is not good friends with the Spring Framework.
Here is an example of how you can use objects from the
Spring context:
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Spring Boot
The recommended way to use Spock mocks in
@WebMvcTest tests, is to use an embedded config
annotated with @TestConfiguration and to create the
mocks using the DetachedMockFactory.
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@WebMvcTest
class WebMvcTestIntegrationSpec extends Specification {
@Autowired
MockMvc mvc
@Autowired
HelloWorldService helloWorldService
def "spring context loads for web mvc slice"() {
given:
helloWorldService.getHelloMessage() >> 'hello world'
expect: "controller is available"
mvc.perform(MockMvcRequestBuilders.get("/"))
.andExpect(status().isOk())
.andExpect(content().string("hello world"))
}
@TestConfiguration
static class MockConfig {
def detachedMockFactory = new DetachedMockFactory();
@Bean
HelloWorldService helloWorldService() {
return detachedMockFactory.Stub(HelloWorldService)
}
}
}