Metaprogramming Techniques In Groovy And Grails

Jun 11, 2009Download as PPTX, PDF22 likes16,762 views

Mike Hugo

Groovy is a dynamic programming language that runs on the JVM and seamlessly interacts with Java. Grails melds the concept of "Convention over Configuration" and the dynamic power of Groovy to create a framework that greatly simplifies the development of web based applications. This slideshow explores the two - dive into some Groovy vs. Java code examples and see some examples of Grails. We'll also discuss when to introduce either into an existing (or greenfield) environment and where they have worked and where they have failed

Marcin Grzejszczak

Introduction to Groovy runtime metaprogramming and AST transforms - by Marcin Grzejszczak author of the http://toomuchcoding.blogspot.com blog. The sources can be found here Mercurial Bitbucket - https://bitbucket.org/gregorin1987/too-much-coding/src/e5ab7c69ab7b2796075fd6f087fbf31346aa2d2b/Groovy/ast/?at=default Git Github - https://github.com/marcingrzejszczak/too-much-coding/tree/master/Groovy/ast

Iván López Martín

Slides from my talk at Greach 2014: "Groovy is a dynamic language that provides different types of metaprogramming techniques. In this talk we’ll mainly see runtime metaprogramming. I’ll explain Groovy Meta-Object-Protocol (MOP), the metaclass, how to intercept method calls, how to deal with method missing and property missing, the use of mixins and categories. All of these topics will be explained with examples in order to understand them. Also, I’ll talk a little bit about compile-time metaprogramming with AST Transformations. AST Transformations provide a wonderful way of manipulating code at compile time via modifications of the Abstract Syntax Tree. We’ll see a basic but powerful example of what we can do with AST transformations." The code is available at: https://github.com/lmivan/greach2014

Kostas Saidis

Ali Tanwir

Paolo Predonzani

There are three main ways to embed Groovy in a Java application: 1) Compiling Groovy code to Java bytecode that can be referenced from Java code. This can be done with Maven or Ant. 2) Using the Bean Scripting Framework (BSF) or JSR 223 to execute Groovy scripts at runtime from Java. 3) Native embedding using the GroovyShell, GroovyClassLoader, or GroovyScriptEngine APIs to load and execute Groovy code from Java. Performance considerations include caching compiled scripts and reloading when dependencies change.

Andres Almiray

The document discusses abstract syntax trees (AST) in Groovy: 1. It provides an overview of AST transformations in Groovy and how the Groovy ecosystem utilizes AST transformations through annotations and frameworks. 2. It outlines how to build local and global AST transformations, noting that defining the AST implementation is the challenging part. 3. Additional tools for working with ASTs like browsers and builders are also mentioned.

Andres Almiray

Java One 2012 Tokyo JVM Lang. BOF(Groovy)

スキトラ Spring + mybatis

40分でわかるHadoop徹底入門（Cloudera World Tokyo 2014 講演資料）

Atlassian Groovy Plugins

Andres Almiray

This document discusses various metaprogramming techniques in Groovy including: - Meta Object Protocol (MOP) which allows modifying classes at runtime. - Categories and mixins for adding methods to existing classes. - Traits for reusable pieces of code with state. - Extension modules for globally available extensions that can modify classes. - AST transformations for compile-time modifications by transforming the AST. - Over 70 built-in AST transformations like @ToString and @Immutable.

rohitnayak

Dynamic scripting languages are a powerful addition to a software designer’s toolbox. Rails/Ruby and Python have not gained much acceptance in the enterprise. Grails and Groovy are an attempt to bridge the gap between the modern scripting world and the Enterprise Java world. This talk is an introduction towards building web applications in Grails. First we will go about creating a REST based webservice. We will also show how to replace the default database backend of Grails with MySQL. We will then build a web application that consumes this webservice. The emphasis will be on the design patterns and idioms in Grails that address the web application development lifecycle.

Beyond Chiefs

AI is transforming talent acquisition by streamlining recruitment processes, enhancing decision-making, and delivering personalized candidate experiences. By automating repetitive tasks such as resume screening and interview scheduling, AI significantly reduces hiring costs and improves efficiency, allowing HR teams to focus on strategic initiatives. Additionally, AI-driven analytics help recruiters identify top talent more accurately, leading to better hiring decisions. However, despite these advantages, organizations must address challenges such as AI bias, integration complexities, and resistance to adoption to fully realize its potential. Embracing AI in recruitment can provide a competitive edge, but success depends on aligning technology with business goals and ensuring ethical, unbiased implementation.

Pablo Gómez Abajo

Context. Testing is essential to improve the correctness of software systems. Metamorphic testing (MT) is an approach especially suited when the system under test lacks oracles, or they are expensive to compute. However, building an MT environment for a particular domain (e.g., cloud simulation, model transformation, machine learning) requires substantial effort. Objective. Our goal is to facilitate the construction of MT environments for specific domains. Method. We propose a model-driven engineering approach to automate the construction of MT environments. Starting from a meta-model capturing the domain concepts, and a description of the domain execution environment, our approach produces an MT environment featuring comprehensive support for the MT process. This includes the definition of domain-specific metamorphic relations, their evaluation, detailed reporting of the testing results, and the automated search-based generation of follow-up test cases. Results. Our method is supported by an extensible platform for Eclipse, called Gotten. We demonstrate its effectiveness by creating an MT environment for simulation-based testing of data centres and comparing with existing tools; its suitability to conduct MT processes by replicating previous experiments; and its generality by building another MT environment for video streaming APIs. Conclusion. Gotten is the first platform targeted at reducing the development effort of domain-specific MT environments. The environments created with Gotten facilitate the specification of metamorphic relations, their evaluation, and the generation of new test cases.

Metaprogramming Techniques In Groovy And Grails

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