Expressive and Safe Destructive Extensions for Separation of Concerns
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A Brief Introduction to Aspect-Oriented Programming
R R R A Brief Introduction to Aspect-Oriented Programming" R R Historical View Of Languages" R •# Procedural language" •# Functional language" •# Object-Oriented language" 1 R R Acknowledgements" R •# Zhenxiao Yang" •# Gregor Kiczales" •# Eclipse website for AspectJ (www.eclipse.org/aspectj) " R R Procedural Language" R •# Also termed imperative language" •# Describe" –#An explicit sequence of steps to follow to produce a result" •# Examples: Basic, Pascal, C, Fortran" 2 R R Functional Language" R •# Describe everything as a function (e.g., data, operations)" •# (+ 3 4); (add (prod 4 5) 3)" •# Examples" –# LISP, Scheme, ML, Haskell" R R Logical Language" R •# Also termed declarative language" •# Establish causal relationships between terms" –#Conclusion :- Conditions" –#Read as: If Conditions then Conclusion" •# Examples: Prolog, Parlog" 3 R R Object-Oriented Programming" R •# Describe " –#A set of user-defined objects " –#And communications among them to produce a (user-defined) result" •# Basic features" –#Encapsulation" –#Inheritance" –#Polymorphism " R R OOP (cont$d)" R •# Example languages" –#First OOP language: SIMULA-67 (1970)" –#Smalltalk, C++, Java" –#Many other:" •# Ada, Object Pascal, Objective C, DRAGOON, BETA, Emerald, POOL, Eiffel, Self, Oblog, ESP, POLKA, Loops, Perl, VB" •# Are OOP languages procedural? " 4 R R We Need More" R •# Major advantage of OOP" –# Modular structure" •# Potential problems with OOP" –# Issues distributed in different modules result in tangled code." –# Example: error logging, failure handling, performance -
Towards an Expressive and Scalable Framework for Expressing Join Point Models
Towards an Expressive and Scalable Framework for expressing Join Point Models Pascal Durr, Lodewijk Bergmans, Gurcan Gulesir, Istvan Nagy University of Twente {durr,bergmans,ggulesir,nagyist}@ewi.utwente.nl ABSTRACT a more fine-grained join point model is required. Moreover, Join point models are one of the key features in aspect- these models are mostly rooted in control flow and call graph oriented programming languages and tools. They provide information, but sometimes a pointcut expression based on software engineers means to pinpoint the exact locations in data flow or data dependence is more suitable. programs (join points) to weave in advices. Our experi- ence in modularizing concerns in a large embedded system This paper proposes an expressive and scalable fine-grained showed that existing join point models and their underlying framework to define join point models that incorporate both program representations are not expressive enough. This data and control flow analysis. One can subsequently specify prevents the selection of some join points of our interest. In a pointcut language which implements (part of) this join this paper, we motivate the need for more fine-grained join point model. Allowing different implementation strategies point models within more expressive source code represen- and language independence is the strength of this model. tations. We propose a new program representation called a program graph, over which more fine-grained join point The paper is structured as follows: First, we will motivate models can be defined. In addition, we present a simple lan- this research with two example concerns we encountered in guage to manipulate program graphs to perform source code our IDEALS[6] project with ASML[2]. -
Flowr: Aspect Oriented Programming for Information Flow Control in Ruby
FlowR: Aspect Oriented Programming for Information Flow Control in Ruby Thomas F. J.-M. Pasquier Jean Bacon Brian Shand University of Cambridge Public Health England fthomas.pasquier, [email protected] [email protected] Abstract Track, a taint-tracking system for Ruby, developed by the SafeWeb This paper reports on our experience with providing Information project [17]. Flow Control (IFC) as a library. Our aim was to support the use However, we came to realise certain limitations of the mech- of an unmodified Platform as a Service (PaaS) cloud infrastructure anisms we had deployed. For example, to enforce the required by IFC-aware web applications. We discuss how Aspect Oriented IFC policy, we manually inserted IFC checks at selected applica- Programming (AOP) overcomes the limitations of RubyTrack, our tion component boundaries. In practice, objects and classes are the first approach. Although use of AOP has been mentioned as a natural representation of application components within an object possibility in past IFC literature we believe this paper to be the oriented language and it seems natural to relate security concerns first illustration of how such an implementation can be attempted. with those objects. We should therefore associate the primitives and We discuss how we built FlowR (Information Flow Control for mechanisms to enforce IFC with selected objects. Furthermore, we Ruby), a library extending Ruby to provide IFC primitives using wish to be able to assign boundary checks on any class or object AOP via the Aquarium open source library. Previous attempts at without further development overhead. We also wish to be able providing IFC as a language extension required either modification to exploit the inheritance property to define rules that apply to of an interpreter or significant code rewriting. -
Interface Evolution Via Virtual Extension Methods Brian Goetz Fourth Draft, June 2011
Interface evolution via virtual extension methods Brian Goetz Fourth draft, June 2011 1. Problem statement Once published, it is impossible to add methods to an interface without breaking existing implementations. (Specifically, adding a method to an interface is not a source- compatible change.) The longer the time since a library has been published, the more likely it is that this restriction will cause grief for its maintainers. The addition of closures to the Java language in JDK 7 place additional stress on the aging Collection interfaces; one of the most significant benefits of closures is that it enables the development of more powerful libraries. It would be disappointing to add a language feature that enables better libraries while at the same time not extending the core libraries to take advantage of that feature1. V1 of the Lambda Strawman proposed C#-style static extension methods as a means of creating the illusion of adding methods to existing classes and interfaces, but they have significant limitations – for example, they cannot be overridden by classes that implement the interface being extended, so implementations are stuck with the “one size fits all” implementation provided as an extension2, and they are not reflectively discoverable. 2. Virtual extension methods3 In this document, we outline a mechanism for adding new methods to existing interfaces, which we call virtual extension methods. Existing interfaces can be augmented without compromising backward compatibility4 by adding extension methods to the interface, whose declaration would contain instructions for finding the default implementation in the event that implementers do not provide a method body. -
Identitymodel Documentation
IdentityModel Documentation Dominick Baier and Brock Allen May 11, 2021 IdentityModel 1 IdentityModel 3 2 IdentityModel.AspNetCore 5 3 IdentityModel.AspNetCore.OAuth2Introspection7 4 IdentityModel.OidcClient 9 5 oidc-client.js 11 5.1 Overview................................................. 11 5.2 Discovery Endpoint........................................... 12 5.3 Token Endpoint.............................................. 14 5.4 Token Introspection Endpoint...................................... 17 5.5 Token Revocation Endpoint....................................... 17 5.6 UserInfo Endpoint............................................ 18 5.7 Dynamic Client Registration....................................... 18 5.8 Device Authorization Endpoint..................................... 19 5.9 Protocol and Claim Type Constants................................... 19 5.10 Creating Request URLs (e.g. for Authorize and EndSession endpoints)................ 20 5.11 Fluent API for the X.509 Certificate Store................................ 22 5.12 Base64 URL Encoding.......................................... 22 5.13 Epoch Time Conversion......................................... 22 5.14 Time-Constant String Comparison.................................... 22 5.15 Overview................................................. 23 5.16 Worker Applications........................................... 23 5.17 Web Applications............................................ 25 5.18 Extensibility............................................... 27 5.19 Overview................................................ -
Appendix a and Appendix B
This PDF contains 2 Appendices: Appendix A and Appendix B. Appendix A Answers to the Test Your Knowledge Questions This appendix has the answers to the questions in the Test Your Knowledge section at the end of each chapter. Chapter 1 – Hello, C#! Welcome, .NET! 1. Why can a programmer use different languages, for example, C# and F#, to write applications that run on .NET? Answer: Multiple languages are supported on .NET because each one has a compiler that translates the source code into intermediate language (IL) code. This IL code is then compiled to native CPU instructions at runtime by the CLR. 2. What do you type at the prompt to create a console app? Answer: You enter dotnet new console. 3. What do you type at the prompt to build and execute C# source code? Answer: In a folder with a ProjectName.csproj file, you enter dotnet run. 4. What is the Visual Studio Code keyboard shortcut to view Terminal? Answer: Ctrl + ` (back tick). Answers to the Test Your Knowledge Questions 5. Is Visual Studio 2019 better than Visual Studio Code? Answer: No. Each is optimized for different tasks. Visual Studio 2019 is large, heavy- weight, and can create applications with graphical user interfaces, for example, Windows Forms, WPF, UWP, and Xamarin.Forms mobile apps, but it is only available on Windows. Visual Studio Code is smaller, lighter-weight, code-focused, supports many more languages, and is available cross-platform. In 2021, with the release of .NET 6 and .NET Multi-platform App User Interface (MAUI), Visual Studio Code will get an extension that enables building user interfaces for desktop and mobile apps. -
Nested Class Modularity in Squeak/Smalltalk
Springer, Nested Class Modularity in Squeak/Smalltalk Nested Class Modularity in Squeak/Smalltalk Modularität mit geschachtelten Klassen in Squeak/Smalltalk by Matthias Springer A thesis submitted to the Hasso Plattner Institute at the University of Potsdam, Germany in partial fulfillment of the requirements for the degree of Master of Science in ITSystems Engineering Supervisor Prof. Dr. Robert Hirschfeld Software Architecture Group Hasso Plattner Institute University of Potsdam, Germany August 17, 2015 Abstract We present the concept, the implementation, and an evaluation of Matriona, a module system for and written in Squeak/Smalltalk. Matriona is inspired by Newspeak and based on class nesting: classes are members of other classes, similarly to class instance variables. Top-level classes (modules) are globals and nested classes can be accessed using message sends to the corresponding enclosing class. Class nesting effec- tively establishes a global and hierarchical namespace, and allows for modular decomposition, resulting in better understandability, if applied properly. Classes can be parameterized, allowing for external configuration of classes, a form of dependency management. Furthermore, parameterized classes go hand in hand with mixin modularity. Mixins are a form of inter-class code reuse and based on single inheritance. We show how Matriona can be used to solve the problem of duplicate classes in different modules, to provide a versioning and dependency management mech- anism, and to improve understandability through hierarchical decomposition. v Zusammenfassung Diese Arbeit beschreibt das Konzept, die Implementierung und die Evaluierung von Matriona, einem Modulsystem für und entwickelt in Squeak/Smalltalk. Ma- triona ist an Newspeak angelehnt und basiert auf geschachtelten Klassen: Klassen, die, wie zum Beispiel auch klassenseitige Instanzvariablen, zu anderen Klassen gehören. -
Aspectj Intertype Declaration Example
Aspectj Intertype Declaration Example Untangible and suspensive Hagen hobbling her dischargers enforced equally or mithridatise satisfactorily, is Tiebold microcosmical? Yule excorticated ill-advisedly if Euro-American Lazare patronised or dislocate. Creakiest Jean-Christophe sometimes diapers his clipper bluely and revitalized so voicelessly! Here is important to form composite pattern determines what i ended up a crosscutting actions taken into account aspectj intertype declaration example. This structure aspectj intertype declaration example also hold between core library dependencies and clean as well as long. Spring boot and data, specific explanation of oop, it is discussed in aop implementation can make it for more modular. This works by aspectj intertype declaration example declarative aspect! So one in joinpoints where singleton, which is performed aspectj intertype declaration example they were taken. You only the switch aspectj intertype declaration example. That is expressed but still confused, and class methods and straightforward to modular reasoning, although support method is necessary to work being a pointcut designators match join us. Based injection as shown in this, and ui layer and advice, after and after a good to subscribe to a variety of an api. What i do not identical will only this requires an example projects. Which aop aspectj intertype declaration example that stripe represents the join point executes unless an exception has finished, as a teacher from is pretty printer. Additional options aspectj intertype declaration example for full details about it will be maintained. The requirements with references to aspectj intertype declaration example is essential way that? Exactly bud the code runs depends on the kind to advice. -
Specialising Dynamic Techniques for Implementing the Ruby Programming Language
SPECIALISING DYNAMIC TECHNIQUES FOR IMPLEMENTING THE RUBY PROGRAMMING LANGUAGE A thesis submitted to the University of Manchester for the degree of Doctor of Philosophy in the Faculty of Engineering and Physical Sciences 2015 By Chris Seaton School of Computer Science This published copy of the thesis contains a couple of minor typographical corrections from the version deposited in the University of Manchester Library. [email protected] chrisseaton.com/phd 2 Contents List of Listings7 List of Tables9 List of Figures 11 Abstract 15 Declaration 17 Copyright 19 Acknowledgements 21 1 Introduction 23 1.1 Dynamic Programming Languages.................. 23 1.2 Idiomatic Ruby............................ 25 1.3 Research Questions.......................... 27 1.4 Implementation Work......................... 27 1.5 Contributions............................. 28 1.6 Publications.............................. 29 1.7 Thesis Structure............................ 31 2 Characteristics of Dynamic Languages 35 2.1 Ruby.................................. 35 2.2 Ruby on Rails............................. 36 2.3 Case Study: Idiomatic Ruby..................... 37 2.4 Summary............................... 49 3 3 Implementation of Dynamic Languages 51 3.1 Foundational Techniques....................... 51 3.2 Applied Techniques.......................... 59 3.3 Implementations of Ruby....................... 65 3.4 Parallelism and Concurrency..................... 72 3.5 Summary............................... 73 4 Evaluation Methodology 75 4.1 Evaluation Philosophy -
Aspect-Oriented Programmingprogramming Wes Weimer
Aspect-OrientedAspect-Oriented ProgrammingProgramming Wes Weimer (slides adapted from Dave Matuszek, UPenn) Programming paradigms Procedural (or imperative) programming Executing a set of commands in a given sequence Fortran, C, Cobol Functional programming Evaluating a function defined in terms of other functions Scheme, Lisp, ML, OCaml Logic programming Proving a theorem by finding values for the free variables Prolog Object-oriented programming (OOP) Organizing a set of objects, each with its own set of responsibilities Smalltalk, Java, Ruby, C++ (to some extent) Aspect-oriented programming (AOP) = aka Aspect-Oriented Software Design (AOSD) Executing code whenever a program shows certain behaviors AspectJ (a Java extension), Aspect#, AspectC++, … Does not replace O-O programming, but rather complements it 2 Why Learn Aspect-Oriented Design? Pragmatics – Google stats (Apr '09): “guitar hero” 36.8 million “object-oriented” 11.2 million “cobol” 6.6 million “design patterns” 3.0 million “extreme programming” 1.0 million “functional programming” 0.8 million “aspect-oriented” or “AOSD” 0.3 million But it’s growing Just like OOP was years ago Especially in the Java / Eclipse / JBoss world 3 Motivation By Allegory Imagine that you’re the ruler of a fantasy monarchy 4 Motivation By Allegory (2) You announce Wedding 1.0, but must increase security 5 Motivation By Allegory (3) You must make changes everywhere: close the secret door 6 Motivation By Allegory (4) … form a brute squad … 7 Motivation By Allegory (5) -
Pharo by Example
Portland State University PDXScholar Computer Science Faculty Publications and Computer Science Presentations 2009 Pharo by Example Andrew P. Black Portland State University, [email protected] Stéphane Ducasse Oscar Nierstrasz University of Berne Damien Pollet University of Lille Damien Cassou See next page for additional authors Let us know how access to this document benefits ouy . Follow this and additional works at: http://pdxscholar.library.pdx.edu/compsci_fac Citation Details Black, Andrew, et al. Pharo by example. 2009. This Book is brought to you for free and open access. It has been accepted for inclusion in Computer Science Faculty Publications and Presentations by an authorized administrator of PDXScholar. For more information, please contact [email protected]. Authors Andrew P. Black, Stéphane Ducasse, Oscar Nierstrasz, Damien Pollet, Damien Cassou, and Marcus Denker This book is available at PDXScholar: http://pdxscholar.library.pdx.edu/compsci_fac/108 Pharo by Example Andrew P. Black Stéphane Ducasse Oscar Nierstrasz Damien Pollet with Damien Cassou and Marcus Denker Version of 2009-10-28 ii This book is available as a free download from http://PharoByExample.org. Copyright © 2007, 2008, 2009 by Andrew P. Black, Stéphane Ducasse, Oscar Nierstrasz and Damien Pollet. The contents of this book are protected under Creative Commons Attribution-ShareAlike 3.0 Unported license. You are free: to Share — to copy, distribute and transmit the work to Remix — to adapt the work Under the following conditions: Attribution. You must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work). -
Aspectmaps: a Scalable Visualization of Join Point Shadows
AspectMaps: A Scalable Visualization of Join Point Shadows Johan Fabry ∗ Andy Kellens y Simon Denier PLEIAD Laboratory Software Languages Lab Stephane´ Ducasse Computer Science Department (DCC) Vrije Universiteit Brussel RMoD, INRIA Lille - Nord Europe University of Chile Belgium France http://pleiad.cl http://soft.vub.ac.be http://rmod.lille.inria.fr of join points. Second, the specification of the implicit invocations is made through a pointcut that selects at which join points the Abstract aspect executes. The behavior specification of the aspect is called the advice. An aspect may contain various pointcuts and advices, When using Aspect-Oriented Programming, it is sometimes diffi- where each advice is associated with one pointcut. cult to determine at which join point an aspect will execute. Simi- The concepts of pointcuts and advices open up new possibil- larly, when considering one join point, knowing which aspects will ities in terms of modularization, allowing for a clean separation execute there and in what order is non-trivial. This makes it difficult between base code and crosscutting concerns. However this sepa- to understand how the application will behave. A number of visu- ration makes it more difficult for a developer to assess system be- alization tools have been proposed that attempt to provide support havior. In particular, the implicit invocation mechanism introduces for such program understanding. However, they neither scale up to an additional layer of complexity in the construction of a system. large code bases nor scale down to understanding what happens at This can make it harder to understand how base system and aspects a single join point.