Design Pattern Automation

Annotations are more than PHPDoc comments, they’re a fully-featured way of including additional information alongside your code. We might have rejected an RFC to add support into the PHP core, but the community has embraced this tool anyway! This session shows you who is doing what with annotations, and will give you some ideas on how to use the existing tools in your own projects to keep life simple. Developers, architects and anyone responsible for the technical direction of an application should attend this session.

This document provides an introduction to object-oriented programming concepts in C#, including: - Simulating reality through modeling real-world entities as classes with data fields and behavior methods. - Relationships between classes like aggregation ("has-a") and generalization ("is-a") hierarchies. - Defining classes with fields to represent an object's state, and methods to represent its behavior. - Inheritance and specialization, where derived classes extend base classes while maintaining the substitution principle. - Other concepts like encapsulation, properties, and class diagrams using UML notation.

This document discusses model-driven engineering and metaprogramming. It begins by explaining why learning model-driven engineering from code is useful. It then discusses the relationships between models and code, including code generation from models and reverse engineering models from code. The document introduces concepts like metaprogramming and reflection. It also discusses aspect-oriented programming and how it relates to manipulating classes and objects. Finally, it provides an example of implementing the observer design pattern in Java and aspect-oriented programming.

Paul Nathan gave a presentation on practical functional programming. He began by introducing himself and explaining why functional programming is an important paradigm to learn. He then defined key concepts in functional programming like first class functions, differences from object oriented programming, avoiding side effects, and advanced type systems. The presentation included examples in Haskell and Common Lisp to demonstrate how functional programming is implemented in different languages.

This document discusses using examples and executable specifications to communicate how to use a new domain-specific language. It describes three roles in language development - the language designer, domain expert, and language users. Four important use cases are outlined: specifying the language, developing an IDE, acceptance testing, and teaching the language. Xpect is introduced as a tool that allows writing executable specifications and tests using examples as test data.

The document provides documentation on the Ring programming language, including details on various Ring classes and their methods. It describes classes like QCoreApplication, QTextBrowser, and QRegion that are part of the Qt framework. It also includes frequently asked questions about Ring and comparisons to other programming languages.

This document discusses various code quality tools such as FindBugs, PMD, and Checkstyle. It provides information on what each tool is used for, how to install plugins for them in Eclipse, and how to configure them for use with Ant builds. FindBugs looks for potential bugs in Java bytecode. PMD scans source code for coding mistakes, dead code, complicated expressions, and duplicate code. Checkstyle checks that code complies with coding style rules. The document explains how to download and configure each tool so it can be run from Eclipse or as part of an Ant build.

This document discusses LINQ (Language Integrated Query) features in C#, including introducing LINQ to Objects, basic query expressions for projection and selection, and anonymous types. It provides examples of how LINQ to Objects maps to extension methods, functional and declarative expressibility using LINQ, details about the LINQ translation process from query expressions to method calls, and examples of using anonymous types.

This document provides an introduction to object-oriented programming (OOP) concepts. It discusses the history and advantages of OOP, including enabling code reuse through inheritance and encapsulation. Key OOP concepts covered include classes, objects, encapsulation, abstraction, inheritance, polymorphism, and the differences between abstraction and encapsulation. Examples are provided to illustrate classes, objects, encapsulation, and the differences between structured and object-oriented programming.

Keynote talk given at JDay Lviv 2014 in Ukraine (http://www.jday.com.ua/). Video coming soon. Abstract: Some say that there's nothing new under the sun. However, looking back on five to six decades of computing, it's easy to see that things progress at their own leisurly pace. Structured programming, originating in the '60s, did not gain mainstream adoption until the '80s; object-oriented programming was hotly debated in the '70s and '80s but only gained widespread acceptance in the '90s. Every couple of decades sees an engineering leap that radically improves the software engineering discipline across the board. I believe we are now at such an inflection point, with functional programming concepts slowly sifting into the mainstream. After this talk, I hope you will too.

This document provides an overview of computer languages and the programming process. It discusses machine language as the lowest-level language understood by computers. Higher-level languages like assembly and programming languages make programming easier for humans. It also describes the programming process, which involves defining problems, planning solutions, coding, testing, and documenting programs. Finally, it discusses different types of program translators like assemblers, compilers, and interpreters that translate human-readable code into machine-readable code.

The presentation was about Maglev, an object server that provides automatically persisted objects without using an ORM or SQL. It allows objects to be transactional and multi-VM. The goals of Maglev include having no object to RDB mapping, no SQL queries, no save or update methods, separation of transactional code from model code, and no coupling between models and web frameworks. Examples showed using Maglev to develop investment portfolio applications with accounts, portfolios, and transactions just as objects without persistence concerns. Conclusions were that Maglev allows simpler, easier, and cheaper development just with objects.

This document discusses the history of computing and programming languages. It notes that many revolutionary ideas from the past are not yet common, such as treating code as objects and dynamic programs that can change as they run. The document advocates learning from the past by reading seminal works and learning languages like Lisp, Smalltalk, and Self to challenge current assumptions. Understanding our history can help us avoid reinventing solutions and using better approaches.

The document discusses design patterns in Ruby compared to Java. Some key points: - Ruby classes are objects while Java uses classes and objects. Ruby uses message passing while Java uses method calls. - Ruby has built-in support for common patterns like Singleton, Observer, Iterator through mixins. These are implemented differently in Java. - Other patterns like Factory Method, Command are easily implemented in Ruby thanks to features like mixins and blocks/procs. - The document provides an overview of several design patterns and how they translate from Java to Ruby.

Programming languages have evolved significantly since the earliest examples in the 18th century. The document then lists over 100 programming languages in chronological order from 1949 to 1991, showing how each new language was influenced by its predecessors and developed new capabilities. Major languages included FORTRAN, COBOL, ALGOL, LISP, Pascal, C, Ada, Smalltalk, and Haskell.

Gael Fraiteur argues that multithreaded programming needs to be addressed at the right level of abstraction, with design patterns like Actor, Immutable, Freezable, Thread Affine, Reader-Writer-Synchronized. Design patterns form a language and serve as a model against which code can be expressed. Compilers must support design patterns to allow code to be deterministically validated against the model, and of course to generate the low-level instructions that would be otherwise written manually.

Part of an introductory series given to new hires and interns, this talk is a crash course in design patterns and engineering best practices for new-grads with mostly academic computer science experience. Focuses on the things they don't teach you: naming things, working on a team, optimizing for maintainability.

This document discusses various JavaScript design patterns and best practices including: - Common design patterns like singleton, factory, decorator, and observer. - Minimizing global variables by declaring variables with a single var statement. - Hoisting and how it provides access to function and variable declarations. - Classical inheritance patterns like using the prototype, renting a constructor, and sharing the prototype. - Defining functions as expressions vs declarations and how hoisting works. - Using immediate functions to provide scope and execute initialization code. - Callbacks and how they are used in asynchronous code.

This is a very basic introduction to implementing in design patterns in JS in order to properly organize and structure the code.

Talk on how to make codebases unmaintainable and a nightmare, increasing complexity and stumbling towards the eventually inevitable rewrite

The document discusses several object-oriented design patterns including Iterator, Decorator, Strategy, and Observer providing an overview and examples of each pattern describing how they address common programming problems and their benefits for reusable and flexible code. It also discusses how design patterns were documented in influential books and how they provide solutions to problems that occur frequently in software design through interfaces and classes that can be implemented in many different ways.

Design patterns represent the best practices used by experienced object-oriented software developers

Slides of the session: TypeScript - the JavaScript developer best friend held at the Web European Conference 2015

This document discusses using Groovy to create domain-specific languages (DSLs). It explains that DSLs use specialized syntax and grammar to interact with a specific domain. Groovy is well-suited for building DSLs through features like builders, categories, meta-object protocol (MOP), and abstract syntax tree (AST) transformations. Builders allow hierarchical structures to be defined concisely. Categories extend functionality without inheritance. MOP allows dynamic methods and properties. AST transformations hook into the compilation process. The document provides examples of each technique and describes a case study of a Groovy DSL called Grint for integration patterns.

Chapter 02 of the lecture Style & Design Principles taught at SAE Institute Hamburg. Introduction to advanced concepts of object-oriented design, such as delegation, polymorphism, cohesion and coupling, and to behavioral, creational and structural design patterns.

This session covers what programming design patterns are, how they got their start, and reviews common design patterns and antipatterns.

В рамках C/C++/Embedded місяця у GlobalLogic нещодавно відбувся Online TechTalk  "Patterns in Embedded SW Design" Спікер розібрав паттерни на кісточки: від поняття до практичного використання з прикладом проєктного коду. У доповіді спеціаліст розглянув: - Поняття патернів у програмному забезпеченні з акцентом на Embedded розробку. - Основні переваги використання патернів. - Класифікацію патернів для Embedded напрямку, деякі з них було розглянуто. - Було наведено приклад використання на прикладі проєктного коду. Деталі та відео заходу: https://bit.ly/3DaKx7t

This document summarizes 10 ways to improve code based on a presentation by Neal Ford. The techniques discussed include composing methods to perform single tasks, test-driven development to design through tests, using static analysis tools to find bugs, avoiding singletons, applying the YAGNI principle to only build what is needed, questioning conventions, embracing polyglot programming, learning Java nuances, enforcing the single level of abstraction principle, and considering "anti-objects" that go against object-oriented design. Questions from the audience are then addressed.

Practical example of implementing and evolving a simple DSL in Groovy, to drive a robot rover on the planet Mars.

[1] Design patterns provide flexible and reusable solutions to common software design problems. They improve code quality by avoiding reinventing solutions and allowing knowledge sharing. [2] The Strategy pattern allows algorithms to be changed independently of clients that use them. This decouples classes from specific implementations so one class can support multiple behaviors. [3] Tightly coupled patterns have high dependency between common classes, while loosely coupled patterns connect classes loosely to improve maintainability and reusability. The Abstract Factory and Visitor patterns can be loosely coupled to benefit software quality.

More information, visit: http://www.godatadriven.com/accelerator.html Data scientists aren’t a nice-to-have anymore, they are a must-have. Businesses of all sizes are scooping up this new breed of engineering professional. But how do you find the right one for your business? The Data Science Accelerator Program is a one year program, delivered in Amsterdam by world-class industry practitioners. It provides your aspiring data scientists with intensive on- and off-site instruction, access to an extensive network of speakers and mentors and coaching. The Data Science Accelerator Program helps you assess and radically develop the skills of your data science staff or recruits. Our goal is to deliver you excellent data scientists that help you become a data driven enterprise. The right tools We teach your organisation the proven data science tools. The right hands We are trusted by many industry leading partners. The right experience We've done big data and data science at many clients, we know what the real world is like. The right experts We have a world class selection of lecturers that you will be working with. Vincent D. Warmerdam Jonathan Samoocha Ivo Everts Rogier van der Geer Ron van Weverwijk Giovanni Lanzani The right curriculum We meet twice a month. Once for a lecture, once for a hackathon. Lectures The RStudio stack. The art of simulation. The iPython stack. Linear modelling. Operations research. Nonlinear modelling. Clustering & ensemble methods. Natural language processing. Time series. Visualisation. Scaling to big data. Advanced topics. Hackathons Scrape and mine the internet. Solving multiarmed bandit problems. Webdev with flask and pandas as a backend. Build an automation script for linear models. Build a heuristic tsp solver. Code review your automation for nonlinear models. Build a method that outperforms random forests. Build a markov chain to generate song lyrics. Predict an optimal portfolio for the stock market. Create an interactive d3 app with backend. Start up a spark cluster with large s3 data. You pick! Interested? Ping us here. signal@godatadriven.com

This document discusses design patterns and provides an example of applying the Observer pattern. It begins with an introduction to design patterns and issues in software development. It then explains the Observer pattern, how it is implemented in Java using the Observable and Observer classes, and provides a code example to demonstrate how the pattern can be used with a ConcreteSubject, NameObserver, and PriceObserver classes. The example shows how the observers are notified of changes to the subject.

I never wrote it; everybody else did! How many times have you waded through an ageing, decaying, tangled forrest of code and wished it would just die? How many times have you heard someone say that what really needs to happen is a complete rewrite? I have heard this many times, and, have uttered that fatal sentence myself. But shouldn’t we love our legacy code? Doesn’t it represent our investment and the hard work of ourselves and our predecessors? Throwing it away is dangerous, because, before we do, we’ll need to work out exactly what it does, and we’ll need to tweeze out that critical business logic nestled in a deeply entangled knot of IF statements. It could take us years to do, and we’ll have to maintain two systems whilst we do it, inevitably adding new features to them both. Yes we get to reimplement using the latest, coolest programming language, instead of an old behemoth, but how long will our new cool language be around, and who will maintain that code, when it itself inevitably turns to legacy? We can throw our arms in the air, complaining and grumbling about how we didn’t write the code, how we would never have written it the way it is, how those that wrote it were lesser programmers, possibly lesser humans themselves, but the code still remains, staring us in the face and hanging around for longer that we could possibly imagine. We can sort it out, we can improve it, we can make it testable, and we can learn to love our legacy code. https://www.youtube.com/watch?v=qRP45l5UugE

This document discusses software design patterns. It defines a design pattern as a general reusable solution to common problems in software design. It describes the Gang of Four (GOF) design patterns book, which introduced and popularized design patterns. The GOF patterns are divided into creational, structural, and behavioral categories. Creational patterns deal with object creation. Structural patterns concern class and object composition. Behavioral patterns address communication between objects. Examples are provided for some of the most common patterns.

This document discusses 10 ways to improve programming code through practices like composing methods, test-driven development, static analysis, and questioning assumptions. It encourages techniques like short single-purpose methods, writing tests before code, using tools like FindBugs, avoiding unnecessary complexity, and continually learning language nuances. Examples show refactoring code to follow these practices. Resources are provided on related topics like pair programming and anti-object-oriented design.

Structured exception handling and defensive programming are the two pillars of robust software. Both pillars fail however when it comes to handling internal faults, those that normally originate in software defects rather than in any external factors. In this webinar, Zoran Horvat demonstrates advanced defensive coding techniques that can bring the quality of your code to an entirely new level. Watch the webinar and learn: When throwing an exception is the right thing to do Why exceptions and defensive coding cannot be applied to recover from defects How to handle situations when internal software defect is causing the fault How to treat fault detection as an orthogonal concern to normal operation The webinar recording can be found here: http://www.postsharp.net/blog/post/webinar-recording-defensive-programming

Modern business applications rely heavily on rich domain classes, which in turn rely heavily on polymorphic execution, code reuse and similar concepts. How can we extend rich domain classes to support complex requirements? In this presentation, Zoran Horvat will show why an object composition approach is favored over class inheritance when it comes to code reuse and polymorphism. The presentation covers: How class inheritance can lead to combinatorial explosion of classes What the limitations of object composition are What design patterns help consume composed objects Techniques for creating rich features on composed objects Watch the webinar recording here: http://www.postsharp.net/blog/post/webinar-recording-object-composition

Starting with the premise that "Performance is a Feature", Matt Warren will show you how to measure, what to measure and how to get the best performance from your .NET code. We will look at real-world examples from the Roslyn code-base and StackOverflow (the product), including how the .NET Garbage Collector needs to be tamed! The presentation covers: Why we should care about performance Pitfalls to avoid when measuring performance How the .NET Garbage Collector can hurt performance Real-world performance lessons from open-source code The webinar recording can be found here: http://www.postsharp.net/blog/post/webinar-recording-performance-is-a-feature

How do you avoid the dreaded "this is not what we asked for" and ensure customer satisfaction when building a new system? In this webinar, Dino Esposito demonstrates a top-down methodology, sometimes mistaken for plain common sense and often boldly ignored, called UX-Driven Design (UXDD). UXDD means coming to a visual agreement with customers by using wireframing tools to iterate on sketches of the new system before building it. Then, rather than building the system from the data model, you proceed in a top-down fashion instead. The resulting system may be slow or even inefficient but it will never be the “wrong” system! In addition, UXDD leads to clarity on a few of today’s most popular patterns that are sometimes difficult to understand like CQRS and Event Sourcing. The presentation covers: An introduction to Wireframing tools Proven ways to save on post-first deployment costs Insights into better customer relationships Better focus on development without 'analysis paralysis' You can watch the webinar recording here: http://www.postsharp.net/blog/post/webinar-recording-ux-driven-design

Localization is crucial for reaching out to a global audience, however, it’s often an afterthought for most developers and non-trivial to implement. Traditionally, game developers have outsourced this task due to its time consuming nature. But it doesn’t have to be this way. Yan Cui will show you a simple technique his team used at GameSys which allowed them to localize an entire story-driven, episodic MMORPG (with over 5000 items and 1500 quests) in under an hour of work and 50 lines of code, with the help of PostSharp.

When addressing website performance issues, developers typically jump to conclusions, focusing on the perceived causes rather than uncovering the real causes through research. Mitchel Sellers will show you how to approach website performance issues with a level of consistency that ensures they're properly identified and resolved so you'll avoid jumping to conclusions in the future. You can watch the webinar recording here: https://www.postsharp.net/documentation/video?id=190066128

Developers spend up to 20% of their time writing repetitive code that machines could generate more reliably. This presentation explores the problem of duplicated source code that stems from manual implementation of patterns and reveals how to automate the boring side of programming and get a 19x ROI. The presentation provides insight into: - the problem of manual implementation of patterns, resulting in boilerplate code - the cost of boilerplate for companies - existing technologies for pattern automation - the key reasons to consider pattern-aware compiler extensions The white paper was written for CTOs, software architects and senior developers in software-driven organizations—specifically in financial, insurance, healthcare, energy and IT industries that typically write a lot of repetitive code.

Everybody knows the lock keyword, but how does it implemented? What are its performance characteristics. Gael Fraiteur scratches the surface of multithreaded programming in .NET and goes deep through the Windows Kernel down to CPU microarchitecture.

This document introduces aspect-oriented programming (AOP) and how it can be used to separate cross-cutting concerns from core business logic. It discusses how AOP frameworks like PostSharp allow aspects to modularize features like logging, transactions, and security. The document provides an example of how a rental booking method grows over time to include these concerns. It compares different AOP frameworks and concludes that PostSharp allows building aspects with strong robustness while minimizing code invasiveness.

How do we build an IoT product, and make it profitable? Talk from the IoT meetup in March 2024. https://www.meetup.com/iot-sweden/events/299487375/

This is a powerpoint that features Microsoft Teams Devices and everything that is new including updates to its software and devices for May 2024

Six months into 2024, and it is clear the privacy ecosystem takes no days off!! Regulators continue to implement and enforce new regulations, businesses strive to meet requirements, and technology advances like AI have privacy professionals scratching their heads about managing risk. What can we learn about the first six months of data privacy trends and events in 2024? How should this inform your privacy program management for the rest of the year? Join TrustArc, Goodwin, and Snyk privacy experts as they discuss the changes we’ve seen in the first half of 2024 and gain insight into the concrete, actionable steps you can take to up-level your privacy program in the second half of the year. This webinar will review: - Key changes to privacy regulations in 2024 - Key themes in privacy and data governance in 2024 - How to maximize your privacy program in the second half of 2024

Java Servlet programs

Widya Salim and Victor Ma will outline the causal impact analysis, framework, and key learnings used to quantify the impact of reducing Twitter's network latency.

Your comprehensive guide to RPA in healthcare for 2024. Explore the benefits, use cases, and emerging trends of robotic process automation. Understand the challenges and prepare for the future of healthcare automation

Password Rotation in 2024 is still Relevant