This document presents an approach to extract executable code transformations from distilled code changes by representing changes as a change dependency graph and evolution state graph. It addresses the problem that different change sequences may implement the same source code transformation, making it difficult to specify and retrieve transformations using logic queries over changes alone. The approach involves specifying the initial and sought-after states using AST logic and querying the evolution state graph to retrieve a minimal executable change subsequence between the states. An evaluation on refactorings shows the approach returns significantly shorter solutions than naively replaying original change sequences.
This document provides a summary of a term paper on modern programming tools. It discusses a fee management system project that was developed using Java. The project aims to manage student fee data for educational institutes. It allows administrators to set fees, view fees owed by students, and has features like being secure, easy to use, and reliable. The document includes details of the coding for the various Java classes used in the project like the main class, student class, administrator class, and classes for login, viewing/updating student details, and adding new students.
The document contains code snippets for various Java programs that perform tasks like calculating the area of a circle, finding the factorial of a number, displaying prime numbers, sorting an array, counting characters in a string, reversing a string, creating and running threads, handling exceptions, and creating a simple applet with buttons to change the background color. The code examples demonstrate basic Java programming concepts like classes, methods, loops, arrays, exceptions, threads, applets, and event handling.
The document contains 21 code snippets showing examples of various Java programming concepts. The code snippets cover topics such as classes and objects, inheritance, interfaces, exceptions, threads, applets, packages, input/output, and networking.
This document outlines an agenda for a Java Language and OOP Part II lab covering operators, selection statements, and looping statements in Java. The lab includes 19 exercises to demonstrate the use of arithmetic, relational, assignment, ternary, bitwise, and logical operators as well as if/else, switch, for, while, do-while loops, and the continue and break statements in Java code examples.
This document provides an introduction to the Julia programming language. It discusses key features of Julia including its performance similar to C with the readability of Python. Examples show Julia's dynamic type system, array and loop syntax, functions, and support for mathematical operations, conditionals, and Unicode symbols. Special features highlighted are easy parallelization, packaging, and its type system including multiple dispatch and traits.
The document contains 4 code snippets demonstrating different ways to take input in Java programs:
1) Using command line arguments and the args array to print a greeting with a passed in name
2) Swapping two integers entered from the keyboard using only two variables
3) Reading input from the keyboard using InputStreamReader and BufferedReader classes
4) Taking input using the Scanner class to read an integer, string, and double from console input
The document contains 10 programming problems and their solutions in Java. Each problem is numbered and includes the problem statement, sample code to solve the problem, and sample output. The problems cover topics like multithreading, input/output streams, interfaces, applets, Swing, JDBC, servlets, JSP, and sending emails.
This document provides information about the Julia programming language. It discusses Julia's performance, use cases in different industries, available packages and tools, and ongoing development work. Key highlights include Julia's speed, its use in fields like robotics, quantitative finance, and science, and recent improvements to its machine learning and quantum computing capabilities.
This document provides a summary of a term paper on modern programming tools. It discusses a fee management system project that was developed using Java. The project aims to manage student fee data for educational institutes. It allows administrators to set fees, view fees owed by students, and has features like being secure, easy to use, and reliable. The document includes details of the coding for the various Java classes used in the project like the main class, student class, administrator class, and classes for login, viewing/updating student details, and adding new students.
The document contains code snippets for various Java programs that perform tasks like calculating the area of a circle, finding the factorial of a number, displaying prime numbers, sorting an array, counting characters in a string, reversing a string, creating and running threads, handling exceptions, and creating a simple applet with buttons to change the background color. The code examples demonstrate basic Java programming concepts like classes, methods, loops, arrays, exceptions, threads, applets, and event handling.
The document contains 21 code snippets showing examples of various Java programming concepts. The code snippets cover topics such as classes and objects, inheritance, interfaces, exceptions, threads, applets, packages, input/output, and networking.
This document outlines an agenda for a Java Language and OOP Part II lab covering operators, selection statements, and looping statements in Java. The lab includes 19 exercises to demonstrate the use of arithmetic, relational, assignment, ternary, bitwise, and logical operators as well as if/else, switch, for, while, do-while loops, and the continue and break statements in Java code examples.
This document provides an introduction to the Julia programming language. It discusses key features of Julia including its performance similar to C with the readability of Python. Examples show Julia's dynamic type system, array and loop syntax, functions, and support for mathematical operations, conditionals, and Unicode symbols. Special features highlighted are easy parallelization, packaging, and its type system including multiple dispatch and traits.
The document contains 4 code snippets demonstrating different ways to take input in Java programs:
1) Using command line arguments and the args array to print a greeting with a passed in name
2) Swapping two integers entered from the keyboard using only two variables
3) Reading input from the keyboard using InputStreamReader and BufferedReader classes
4) Taking input using the Scanner class to read an integer, string, and double from console input
The document contains 10 programming problems and their solutions in Java. Each problem is numbered and includes the problem statement, sample code to solve the problem, and sample output. The problems cover topics like multithreading, input/output streams, interfaces, applets, Swing, JDBC, servlets, JSP, and sending emails.
This document provides information about the Julia programming language. It discusses Julia's performance, use cases in different industries, available packages and tools, and ongoing development work. Key highlights include Julia's speed, its use in fields like robotics, quantitative finance, and science, and recent improvements to its machine learning and quantum computing capabilities.
This document discusses metaprogramming in Julia. It begins by explaining what metaprogramming means - programming the program. It then discusses Julia's Abstract Syntax Tree (AST) representation and how Expr and Symbol types are used. Macro and generated functions allow metaprogramming in Julia by generating new ASTs at compile-time. Julia's just-in-time compiler works by lowering the AST through various intermediate representations until generating native machine code. Metaprogramming techniques like macros, generated functions, and reflection allow defining and extending the Julia language itself.
This document contains a Java practical file belonging to Rachit Gupta, an MCA student. It consists of 16 programs of varying complexity written in Java, along with the output of each program. The programs cover topics such as calculating the square root of a number, finding the perimeter of a rectangle, calculating percentage of marks, and generating an electric bill based on units consumed. The file is a submission of Rachit Gupta's Java practical assignments for his 4th semester MCA course at the University of Jammu.
This document provides a concise reference card summarizing key aspects of the Python 2.5 programming language, including variable types, basic syntax, object orientation, modules, exceptions, input/output, and the standard library. It covers topics like numbers, sequences, dictionaries, sets, functions, classes, imports, exceptions, files, and common library modules.
The document discusses various techniques for writing clean code, including formatting code consistently, using meaningful names, writing comments to explain intent, keeping functions focused on single tasks, limiting class and method complexity, and avoiding hardcoded values. It emphasizes habits like adhering to coding standards as a team and writing unit tests. Specific techniques mentioned include consistent formatting, searchable names, avoiding comments as a crutch, limiting function parameters and nesting depth, and preferring classes with cohesive responsibilities. The document recommends several coding standards and style guides.
This document presents 8 Java puzzles to demonstrate common programming pitfalls. The puzzles cover issues like static methods overriding instead of overloading, violating the equals and hashCode contracts for objects, abrupt returns in finally blocks, integer overflows when subtracting large numbers, operator overloading with characters, ambiguous constructor overloading, implicit type promotions between primitives, and comparing values of different types. For each puzzle, it provides the expected output and an explanation of what is happening, along with suggestions for how to fix the problem code. The overall goals are to have fun while learning about quirks in Java programming and how to avoid common mistakes.
The document contains code snippets from 3 weekly coding assignments:
1) A Java program to check if a string is a palindrome. It compares characters at the beginning and end of the string.
2) A Java program to sort a list of names in ascending order using string comparison and swapping.
3) A Java program to count the frequency of words in a given text by tokenizing, sorting, and printing the words.
(chapter 6) A Concise and Practical Introduction to Programming Algorithms in...Frank Nielsen
These are the slides accompanying the textbook:
A Concise and Practical Introduction to Programming Algorithms in Java
by Frank Nielsen
Published by Springer-Verlag (2009), Undergraduate textbook in computer science (UTiCS series)
ISBN: 978-1-84882-338-9
http://www.lix.polytechnique.fr/~nielsen/JavaProgramming/
http://link.springer.com/book/10.1007%2F978-1-84882-339-6
The Ring programming language version 1.6 book - Part 184 of 189Mahmoud Samir Fayed
This section provides an overview of the Ring programming language, including lists of its 49 keywords, 198 functions, common compiler errors, and the structure and instructions of its virtual machine (VM). The keywords include common ones like class, func, if, and while. The many functions cover strings, files, math, objects, and the VM. Compiler errors relate to missing elements like ok or end in control structures. The VM executes Ring code through its instructions and uses scopes and pointers to manage memory.
Let's go Developer 2011 sendai Let's go Java Developer (Programming Language ...Uehara Junji
The document compares Java and Groovy implementations of a word counting program. The Java version uses HashMaps and file input/output to count word frequencies, while the Groovy version uses a default map with integer values and sorts the entries by value before outputting. Both programs take a file, split the contents on whitespace, count each word, and output the results.
This document contains code examples demonstrating basic Java concepts like classes, objects, methods, constructors, static variables, and more. The examples show how to define Box classes with width, length and height attributes to calculate and print the volume. Later examples demonstrate method overloading, the use of this keyword, call by value vs reference, and default values of attributes. Constructors are used to initialize object attribute values.
The document contains a list of 40 Java interview questions related to core Java, servlets, and JSP. The questions cover topics such as default array values, declaring and initializing arrays, Java keywords, if/else conditions, switch statements, loops, strings, wrappers, methods, threads, JDBC, servlet scopes, servlet lifecycle methods, differences between servlets and JSPs, implicit objects in JSP, and JSP directives.
This talk is a look into some of the surprising performance cases in Java -- with the goal of illustrating a few simple truths about the nature of compilers.
ppt of class and methods in java,recursion in java,nested class,java,command line argument,method overloading,call by value,call by reference,constructor overloading core java ppt
The document discusses features and enhancements in Groovy 1.8.0, including improved AST processing, new logging capabilities using the @Log annotation, support for method locks with @WithReadLock and @WithWriteLock, interruptible loops, memoization of recursive functions, and integration with JSON parsing. Slides provide code examples and diagrams to illustrate these Groovy language and library improvements.
Is java8 a true functional programming languageSQLI
This document discusses whether Java 8 can be considered a true functional programming language. It begins with an overview of programming paradigms and compares the imperative and functional paradigms. It then outlines key aspects of functional programming including immutability, recursion, functions as first-class citizens, higher-order functions, and laziness. Code examples in Java demonstrate these concepts. The document concludes that while Java 8 incorporates some functional programming features, it does not fully embrace all aspects of functional programming.
This document discusses whether Java 8 can be considered a true functional programming language. It begins with an overview of programming paradigms and compares the imperative and functional paradigms. It then outlines key aspects of functional programming including immutability, recursion, functions as first-class citizens, higher-order functions, and laziness. Code examples in Java demonstrate these concepts. The document concludes that while Java 8 incorporates some functional programming features, it does not fully embrace all aspects of functional programming.
Easy Going Groovy 2nd season on DevLOVEUehara Junji
The document appears to be a slide presentation about Groovy programming. It includes slides with code samples and descriptions of Groovy features like Grails, Griffon, Spock testing, and integrating Ant tasks. Later slides demonstrate using Groovy with HtmlUnit to programmatically upload a file to a wiki site.
The document outlines a Java programming practical course covering various Java concepts and programs. It includes 40 practical programs to be completed ranging from basic programs to find area of a circle, factorial of a number to more advanced programs involving OOP concepts like inheritance, abstraction, exception handling and multithreading. It also provides the evaluation and marking scheme for the practical exam.
Java supports generics as of version 1.5 to allow type-safe operations on parameterized types like List<String>. Generics eliminate the need for explicit casting when adding and retrieving elements. Wildcard types like List<?> provide flexibility but are more limited than specific types. Generic methods allow algorithms to operate on types in a generic way through type parameters.
The document summarizes new features in C# 7 including:
- Literal improvements such as digit separators in integers and hexadecimal/binary literals.
- Expression-bodied members for constructors, destructors, getters and setters.
- Throw expressions to throw exceptions inline without using exceptions.
- Out variables, pattern matching, tuples, and local functions.
- Ref returns and locals for passing by reference.
- Generalized async return types beyond Task/Task<T> using custom awaiters.
The document summarizes new features that have been added to C# programming language over different versions of Visual Studio. It discusses features such as generics, lambda expressions, LINQ, tuples, pattern matching, exception filters, auto-property initializers, expression-bodied members and more. It also provides code examples to illustrate some of these features like tuples, deconstruction, pattern matching with case statements, async Main method and others.
This document discusses metaprogramming in Julia. It begins by explaining what metaprogramming means - programming the program. It then discusses Julia's Abstract Syntax Tree (AST) representation and how Expr and Symbol types are used. Macro and generated functions allow metaprogramming in Julia by generating new ASTs at compile-time. Julia's just-in-time compiler works by lowering the AST through various intermediate representations until generating native machine code. Metaprogramming techniques like macros, generated functions, and reflection allow defining and extending the Julia language itself.
This document contains a Java practical file belonging to Rachit Gupta, an MCA student. It consists of 16 programs of varying complexity written in Java, along with the output of each program. The programs cover topics such as calculating the square root of a number, finding the perimeter of a rectangle, calculating percentage of marks, and generating an electric bill based on units consumed. The file is a submission of Rachit Gupta's Java practical assignments for his 4th semester MCA course at the University of Jammu.
This document provides a concise reference card summarizing key aspects of the Python 2.5 programming language, including variable types, basic syntax, object orientation, modules, exceptions, input/output, and the standard library. It covers topics like numbers, sequences, dictionaries, sets, functions, classes, imports, exceptions, files, and common library modules.
The document discusses various techniques for writing clean code, including formatting code consistently, using meaningful names, writing comments to explain intent, keeping functions focused on single tasks, limiting class and method complexity, and avoiding hardcoded values. It emphasizes habits like adhering to coding standards as a team and writing unit tests. Specific techniques mentioned include consistent formatting, searchable names, avoiding comments as a crutch, limiting function parameters and nesting depth, and preferring classes with cohesive responsibilities. The document recommends several coding standards and style guides.
This document presents 8 Java puzzles to demonstrate common programming pitfalls. The puzzles cover issues like static methods overriding instead of overloading, violating the equals and hashCode contracts for objects, abrupt returns in finally blocks, integer overflows when subtracting large numbers, operator overloading with characters, ambiguous constructor overloading, implicit type promotions between primitives, and comparing values of different types. For each puzzle, it provides the expected output and an explanation of what is happening, along with suggestions for how to fix the problem code. The overall goals are to have fun while learning about quirks in Java programming and how to avoid common mistakes.
The document contains code snippets from 3 weekly coding assignments:
1) A Java program to check if a string is a palindrome. It compares characters at the beginning and end of the string.
2) A Java program to sort a list of names in ascending order using string comparison and swapping.
3) A Java program to count the frequency of words in a given text by tokenizing, sorting, and printing the words.
(chapter 6) A Concise and Practical Introduction to Programming Algorithms in...Frank Nielsen
These are the slides accompanying the textbook:
A Concise and Practical Introduction to Programming Algorithms in Java
by Frank Nielsen
Published by Springer-Verlag (2009), Undergraduate textbook in computer science (UTiCS series)
ISBN: 978-1-84882-338-9
http://www.lix.polytechnique.fr/~nielsen/JavaProgramming/
http://link.springer.com/book/10.1007%2F978-1-84882-339-6
The Ring programming language version 1.6 book - Part 184 of 189Mahmoud Samir Fayed
This section provides an overview of the Ring programming language, including lists of its 49 keywords, 198 functions, common compiler errors, and the structure and instructions of its virtual machine (VM). The keywords include common ones like class, func, if, and while. The many functions cover strings, files, math, objects, and the VM. Compiler errors relate to missing elements like ok or end in control structures. The VM executes Ring code through its instructions and uses scopes and pointers to manage memory.
Let's go Developer 2011 sendai Let's go Java Developer (Programming Language ...Uehara Junji
The document compares Java and Groovy implementations of a word counting program. The Java version uses HashMaps and file input/output to count word frequencies, while the Groovy version uses a default map with integer values and sorts the entries by value before outputting. Both programs take a file, split the contents on whitespace, count each word, and output the results.
This document contains code examples demonstrating basic Java concepts like classes, objects, methods, constructors, static variables, and more. The examples show how to define Box classes with width, length and height attributes to calculate and print the volume. Later examples demonstrate method overloading, the use of this keyword, call by value vs reference, and default values of attributes. Constructors are used to initialize object attribute values.
The document contains a list of 40 Java interview questions related to core Java, servlets, and JSP. The questions cover topics such as default array values, declaring and initializing arrays, Java keywords, if/else conditions, switch statements, loops, strings, wrappers, methods, threads, JDBC, servlet scopes, servlet lifecycle methods, differences between servlets and JSPs, implicit objects in JSP, and JSP directives.
This talk is a look into some of the surprising performance cases in Java -- with the goal of illustrating a few simple truths about the nature of compilers.
ppt of class and methods in java,recursion in java,nested class,java,command line argument,method overloading,call by value,call by reference,constructor overloading core java ppt
The document discusses features and enhancements in Groovy 1.8.0, including improved AST processing, new logging capabilities using the @Log annotation, support for method locks with @WithReadLock and @WithWriteLock, interruptible loops, memoization of recursive functions, and integration with JSON parsing. Slides provide code examples and diagrams to illustrate these Groovy language and library improvements.
Is java8 a true functional programming languageSQLI
This document discusses whether Java 8 can be considered a true functional programming language. It begins with an overview of programming paradigms and compares the imperative and functional paradigms. It then outlines key aspects of functional programming including immutability, recursion, functions as first-class citizens, higher-order functions, and laziness. Code examples in Java demonstrate these concepts. The document concludes that while Java 8 incorporates some functional programming features, it does not fully embrace all aspects of functional programming.
This document discusses whether Java 8 can be considered a true functional programming language. It begins with an overview of programming paradigms and compares the imperative and functional paradigms. It then outlines key aspects of functional programming including immutability, recursion, functions as first-class citizens, higher-order functions, and laziness. Code examples in Java demonstrate these concepts. The document concludes that while Java 8 incorporates some functional programming features, it does not fully embrace all aspects of functional programming.
Easy Going Groovy 2nd season on DevLOVEUehara Junji
The document appears to be a slide presentation about Groovy programming. It includes slides with code samples and descriptions of Groovy features like Grails, Griffon, Spock testing, and integrating Ant tasks. Later slides demonstrate using Groovy with HtmlUnit to programmatically upload a file to a wiki site.
The document outlines a Java programming practical course covering various Java concepts and programs. It includes 40 practical programs to be completed ranging from basic programs to find area of a circle, factorial of a number to more advanced programs involving OOP concepts like inheritance, abstraction, exception handling and multithreading. It also provides the evaluation and marking scheme for the practical exam.
Java supports generics as of version 1.5 to allow type-safe operations on parameterized types like List<String>. Generics eliminate the need for explicit casting when adding and retrieving elements. Wildcard types like List<?> provide flexibility but are more limited than specific types. Generic methods allow algorithms to operate on types in a generic way through type parameters.
The document summarizes new features in C# 7 including:
- Literal improvements such as digit separators in integers and hexadecimal/binary literals.
- Expression-bodied members for constructors, destructors, getters and setters.
- Throw expressions to throw exceptions inline without using exceptions.
- Out variables, pattern matching, tuples, and local functions.
- Ref returns and locals for passing by reference.
- Generalized async return types beyond Task/Task<T> using custom awaiters.
The document summarizes new features that have been added to C# programming language over different versions of Visual Studio. It discusses features such as generics, lambda expressions, LINQ, tuples, pattern matching, exception filters, auto-property initializers, expression-bodied members and more. It also provides code examples to illustrate some of these features like tuples, deconstruction, pattern matching with case statements, async Main method and others.
The document is a report on the topic of computer programming and utilization prepared by group C. It discusses functions, including the definition of a function, function examples, benefits of functions, function prototypes, function arguments, and recursion. It provides examples of math library functions, global and local variables, and external variables. It also includes examples of recursive functions to calculate factorials and the Fibonacci series recursively.
Scala for Java Developers provides an overview of Scala for Java developers. It discusses:
- The goals of understanding what Scala is, learning more about it, and installing Scala.
- An introduction to Scala including what it is, its history from 1995 to 2013, and whether it is a good fit for certain uses based on its strengths like functional programming and weaknesses like syntax.
- How to get started with Scala including required and optional software and plugins.
- Key Scala features like objects, classes, traits, pattern matching, and collections.
Referential Transparency, Higher Order functions, Lazy Evaluation, and Pattern Matching are key concepts in Functional Programming. Referential Transparency means that equal expressions can be replaced with each other without changing the program's behavior. Higher Order functions allow functions to be passed as arguments to other functions and returned as results. Lazy Evaluation delays evaluating arguments until their values are needed to avoid unnecessary computation. Pattern Matching allows decomposing and analyzing data structures.
From JVM to .NET languages, from minor coding idioms to system-level architectures, functional programming is enjoying a long overdue surge in interest. Functional programming is certainly not a new idea and, although not apparently as mainstream as object-oriented and procedural programming, many of its concepts are also more familiar than many programmers believe. This talk examines functional and declarative programming styles from the point of view of coding patterns, little languages and programming techniques already familiar to many programmers.
Querying the History of Software Projects using QwalKekostevensreinout
QwalKeko is a tool for querying the history of software projects. It uses a graph-based representation of code changes and a declarative query language to identify modified files, classify change types, and reason over multiple changes. The tool was used to analyze the change history of several projects totaling over 25,000 commits and 10,000 source files. Key features of QwalKeko include leveraging git metadata, AST information, and a graph navigation approach to enable flexible querying and performance over change histories.
Functional Programming You Already KnowKevlin Henney
Presented at NDC 2013 in Oslo (13th June 2013)
Video available on Vimeo: https://vimeo.com/68327245
From JVM to .NET languages, from minor coding idioms to system-level architectures, functional programming is enjoying a long overdue surge in interest. Functional programming is certainly not a new idea and, although not apparently as mainstream as object-oriented and procedural programming, many of its concepts are also more familiar than many programmers believe.
This talk examines functional and declarative programming styles from the point of view of coding patterns, little languages and programming techniques already familiar to many programmers.
Mirror, mirror on the wall: Building a new PHP reflection library (DPC 2016)James Titcumb
Have you ever used PHP's built in reflection, only to find you can't do quite what you wanted? What about finding types for parameters or properties? What about reflecting on classes that aren't loaded, so that you can modify them directly?
Better Reflection is an awesome new library that uses magical time-warp techniques* (*actual magic or time-warp not guaranteed) to improve on PHP's built-in reflection by providing additional functionality. In this talk we'll cover what reflection is all about, explore the cool features of Better Reflection already implemented, the difficulties we faced actually writing the thing, and how you can use Better Reflection in your projects to maximise your reflection-fu.
The document analyzes how the lexicon (identifiers) used by programmers evolves during software development. It finds that:
1) The lexicon is generally more stable than the structure of the code over time. Lexical changes have a different distribution than structural changes.
2) Renaming of identifiers is rare during software evolution.
3) The development environment can influence lexicon evolution, with renaming more common in environments like Java that provide dedicated renaming tools. Better tools are needed to support effective lexicon evolution.
This document introduces QwalKeko, a tool for querying version control system histories. It allows users to specify code characteristics and changes using a graph query language and logic programming rules. Querying the history involves traversing the version graph and checking if Ekeko logic rules are satisfied in each version. This allows formulating complex refactoring queries, such as finding methods that were pulled up to a parent class, in a declarative way.
Mixing functional and object oriented approaches to programming in C#Mark Needham
The document discusses mixing functional and object-oriented programming approaches in C#. Some key points:
1) Functional programming concepts like immutable data, recursion and pattern matching can help make code more easy to understand and change.
2) Objects are still important for encapsulation and abstraction.
3) These paradigms can work together, with functional approaches used for smaller pieces of code and objects used at larger scales.
The document discusses abstract syntax tree (AST) transformations in Groovy and Java. It covers several tools and techniques for AST transformations including Lombok, Groovy, CodeNarc, IntelliJ IDEA, Mirah macros, and how they allow generating code, performing static analysis, and rewriting code at compile time through analyzing and modifying the AST. The key topics are how these tools work by compiling code to an AST, analyzing and modifying the AST nodes, and sometimes generating source code from the transformed AST.
4Developers 2018: Ile (nie) wiesz o strukturach w .NET (Łukasz Pyrzyk)PROIDEA
Kiedy ostatnio stworzyłeś nową strukturę pisząc aplikację w .NET? Wiesz do czego wykorzystywać struktury i jak mogą one zwiększyć wydajność Twojego programu? W prezentacji pokażę czym charakteryzują się struktury, jak dużo różni je od klas oraz opowiem o kilku ciekawych eksperymentach.
Java 8 includes new functional features such as lambda expressions, method references, and streams. Lambda expressions allow for the creation of anonymous functions, and method references provide a way to refer to existing methods. Streams facilitate functional-style aggregate operations on data and support both sequential and parallel operations. Other features include default interface methods, closures, and static methods on interfaces.
.Net december 2017 updates - Tamir DresherTamir Dresher
This document summarizes updates for application developers and DevOps from 2017, including new features in Visual Studio 2017, Visual Studio App Center, Live Share, and connectivity to Azure Kubernetes Service. It also covers upcoming features for C# 7.2 and 8.0 like private protected access modifiers, readonly structs and arguments, nullable reference types, and Span<T> to reduce memory allocations and improve performance.
Riga DevDays 2017 - The hitchhiker’s guide to Java class reloadingAnton Arhipov
This document discusses techniques for reloading Java classes at runtime, known as hot reloading or hot swapping. It begins with an introduction and overview of class loaders, Java agents, and instrumentation which can be used to dynamically modify classes. Specific techniques are then presented for reloading classes, fields, methods and code using custom class loaders and bytecode manipulation. The goal is to allow reloading parts of an application without restarting the Java Virtual Machine.
EdSketch: Execution-Driven Sketching for JavaLisa Hua
Sketching is a relatively recent approach to program synthesis, which has shown much promise. The key idea in sketching is to allow users to write partial programs that have “holes” and provide test harnesses or reference implementations, and let synthesis tools create program fragments that the holes such that the resulting complete program has the desired functionality. Traditional solutions to the sketching problem perform a translation to SAT and employ CEGIS. While e ective for a range of programs, when applied to real applications, such translation-based approaches have a key limitation: they require either translating all relevant libraries that are invoked directly or indirectly by the given sketch – which can lead to impractical SAT problems – or creating models of those libraries – which can require much manual effort.
is paper introduces execution-driven sketching, a novel approach for synthesis of Java programs using a backtracking search that is commonly employed in so ware model checkers. e key novelty of our work is to introduce effective pruning strategies to effciently explore the actual program behaviors in presence of libraries and to provide a practical solution to sketching small parts of real-world applications, which may use complex constructs of modern languages, such as reflection or native calls. Our tool EdSketch embodies our approach in two forms: a stateful search based on the Java PathFinder model checker; and a stateless search based on re-execution inspired by the VeriSoft model checker. Experimental results show that EdSketch’s performance compares well with the well-known SAT-based Sketch system for a range of small but complex programs, and moreover, that EdSketch can complete some sketches that require handling complex constructs.
Detecting Bugs in Binaries Using Decompilation and Data Flow AnalysisSilvio Cesare
The document discusses using static analysis techniques like data flow analysis and decompilation to detect bugs in binary files. It describes decompiling binaries into an intermediate representation and then performing intraprocedural and interprocedural data flow analysis on the representation. This allows detecting bugs involving unsafe functions like getenv() and memory issues like use-after-free and double free errors. The approach involves lifting x86 into a RISC-like intermediate language, inferring stack pointers, and decompiling locals and arguments to perform analysis and optimization.
This document provides an overview of key object-oriented programming concepts including classes and objects, inheritance, encapsulation, polymorphism, interfaces, abstract classes, and design patterns. It discusses class construction and object instantiation. Inheritance is described as both exposing implementation details and potentially breaking encapsulation. Composition is presented as an alternative to inheritance. The document also covers method overriding, overloading, and duck typing as forms of polymorphism. Finally, it briefly introduces common design principles like SOLID and patterns like delegation.
Similar to Extracting Executable Transformations from Distilled Code Changes (20)
This presentation by OECD, OECD Secretariat, was made during the discussion “Pro-competitive Industrial Policy” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/pcip.
This presentation was uploaded with the author’s consent.
This presentation by Yong Lim, Professor of Economic Law at Seoul National University School of Law, was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
This presentation by Thibault Schrepel, Associate Professor of Law at Vrije Universiteit Amsterdam University, was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
This presentation by OECD, OECD Secretariat, was made during the discussion “Competition and Regulation in Professions and Occupations” held at the 77th meeting of the OECD Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found at oe.cd/crps.
This presentation was uploaded with the author’s consent.
Mastering the Concepts Tested in the Databricks Certified Data Engineer Assoc...SkillCertProExams
• For a full set of 760+ questions. Go to
https://skillcertpro.com/product/databricks-certified-data-engineer-associate-exam-questions/
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This presentation by Nathaniel Lane, Associate Professor in Economics at Oxford University, was made during the discussion “Pro-competitive Industrial Policy” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/pcip.
This presentation was uploaded with the author’s consent.
This presentation by OECD, OECD Secretariat, was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
This presentation by Juraj Čorba, Chair of OECD Working Party on Artificial Intelligence Governance (AIGO), was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
Collapsing Narratives: Exploring Non-Linearity • a micro report by Rosie WellsRosie Wells
Insight: In a landscape where traditional narrative structures are giving way to fragmented and non-linear forms of storytelling, there lies immense potential for creativity and exploration.
'Collapsing Narratives: Exploring Non-Linearity' is a micro report from Rosie Wells.
Rosie Wells is an Arts & Cultural Strategist uniquely positioned at the intersection of grassroots and mainstream storytelling.
Their work is focused on developing meaningful and lasting connections that can drive social change.
Please download this presentation to enjoy the hyperlinks!
Carrer goals.pptx and their importance in real lifeartemacademy2
Career goals serve as a roadmap for individuals, guiding them toward achieving long-term professional aspirations and personal fulfillment. Establishing clear career goals enables professionals to focus their efforts on developing specific skills, gaining relevant experience, and making strategic decisions that align with their desired career trajectory. By setting both short-term and long-term objectives, individuals can systematically track their progress, make necessary adjustments, and stay motivated. Short-term goals often include acquiring new qualifications, mastering particular competencies, or securing a specific role, while long-term goals might encompass reaching executive positions, becoming industry experts, or launching entrepreneurial ventures.
Moreover, having well-defined career goals fosters a sense of purpose and direction, enhancing job satisfaction and overall productivity. It encourages continuous learning and adaptation, as professionals remain attuned to industry trends and evolving job market demands. Career goals also facilitate better time management and resource allocation, as individuals prioritize tasks and opportunities that advance their professional growth. In addition, articulating career goals can aid in networking and mentorship, as it allows individuals to communicate their aspirations clearly to potential mentors, colleagues, and employers, thereby opening doors to valuable guidance and support. Ultimately, career goals are integral to personal and professional development, driving individuals toward sustained success and fulfillment in their chosen fields.
XP 2024 presentation: A New Look to Leadershipsamililja
Presentation slides from XP2024 conference, Bolzano IT. The slides describe a new view to leadership and combines it with anthro-complexity (aka cynefin).
Suzanne Lagerweij - Influence Without Power - Why Empathy is Your Best Friend...Suzanne Lagerweij
This is a workshop about communication and collaboration. We will experience how we can analyze the reasons for resistance to change (exercise 1) and practice how to improve our conversation style and be more in control and effective in the way we communicate (exercise 2).
This session will use Dave Gray’s Empathy Mapping, Argyris’ Ladder of Inference and The Four Rs from Agile Conversations (Squirrel and Fredrick).
Abstract:
Let’s talk about powerful conversations! We all know how to lead a constructive conversation, right? Then why is it so difficult to have those conversations with people at work, especially those in powerful positions that show resistance to change?
Learning to control and direct conversations takes understanding and practice.
We can combine our innate empathy with our analytical skills to gain a deeper understanding of complex situations at work. Join this session to learn how to prepare for difficult conversations and how to improve our agile conversations in order to be more influential without power. We will use Dave Gray’s Empathy Mapping, Argyris’ Ladder of Inference and The Four Rs from Agile Conversations (Squirrel and Fredrick).
In the session you will experience how preparing and reflecting on your conversation can help you be more influential at work. You will learn how to communicate more effectively with the people needed to achieve positive change. You will leave with a self-revised version of a difficult conversation and a practical model to use when you get back to work.
Come learn more on how to become a real influencer!
2. Context: Distilled Code Changes
B. Fluri, M. Würsch, M. Pinzger, and H. C. Gall.
Change distilling: Tree differencing for fine-grained source code change extraction.
Transactions on Software Engineering, 2007.
2
1. update(0,1)
2. move(int y = 0;)
3. insert(public int foo()…)
4. delete(int z = 0;)
Output:
00 public class Example {
01 public Integer run(Integer x) {
02 return x;
03 }
04
05 public void test() {
06 int x = 0;
07 int y = 0;
08 int z = 0;
09 run(x);
10 }
11 }
00 public class Example {
01 public Integer run(Integer x) {
02 int y = 0;
03 return x;
04 }
05
06 public int foo() {
07 return 42;
08 }
09
10 public void test() {
11 int x = 1;
12 run(x);
13 }
14 }
Insert
Delete
Move
Update
00 public class Example {
01 public Integer run(Integer x) {
02 return x;
03 }
04
05 public void test() {
06 int x = 0;
07 int y = 0;
08 int z = 0;
09 run(x);
10 }
11 }
00 public class Example {
01 public Integer run(Integer x) {
02 int y = 0;
03 return x;
04 }
05
06 public int foo() {
07 return 42;
08 }
09
10 public void test() {
11 int x = 1;
12 run(x);
13 }
14 }
Revision 1 Revision 2
4. Naive Approach: Logic Queries over Changes
public class Example {
int x = 0;
}
public class Example {
int y = 0;
}
1. update(“x”, “y”)
1 (defn rename-field [changes]
2 (run* [?update]
3 (member ?update changes)
4 (change|update ?update)
5 (change|update-original ?update ?val|source)
6 (ast :SimpleName ?val|source)
7 (ast-parent ?val|source ?parent|source)
8 (ast :VariableDeclarationFragment ?parent|source)
9 (update-newval ?update ?val|target)
0 (ast :SimpleName ?val|target)
1 (name-name|different ?val|source ?val|target))
4
Revision 1 Revision 2
changes
look for an update
that modifies a field
its name
5. 1. delete(“int x = 0;”)
2. insert(“int aLongerName = 0;”)
1 (defn rename-field [changes]
2 (run* [?insert ?delete]
3 (fresh [?insert|source’ ?delete|original ?i-name ?d-name]
4 (member ?delete changes)
5 (member ?insert changes)
6 (== ?sequence (list ?insert ?delete))
7 (change|insert ?insert)
8 (change|delete ?delete)
9 (insert-node ?insert ?insert|source’)
0 (ast :VariableDeclarationFragment ?insert|source’)
1 (delete-node ?delete ?delete|original)
2 (ast :VariableDeclarationFragment ?delete|source)
3 (has :name ?insert|source’ ?i-name)
4 (has :name ?delete|source ?d-name)
5 (name-name|different ?i-name ?d-name))) 5
public class Example {
int x = 0;
}
public class Example {
int aLongerName = 0;
}
changes
Revision 1 Revision 2
look for a
delete and insert
that introduce a field
and remove a field with
a different name
Naive Approach: Logic Queries over Changes
6. Problem: Change Equivalence
1. update(“x”, “y”)
1. delete(“int x = 0;”)
2. insert(“int y = 0;”)
1. insert(“int y = 0;”)
2. delete(“int x = 0;”)
Possible
Changes Sequences
public class Example {
int x = 0;
}
Revision 1
public class Example {
int y = 0;
}
Revision 2
6
One change distiller may produce different change sequences for
the same source code transformation in different commits:
• different change types
• different length
• different subjects of changes
8. Problem Summary
Multiple change sequences implement the same source
code transformation
It is not possible for a user to enumerate all the change
sequences that implement a transformation in a query
8
9. 9
initial state
sought-after state
1 (defn field-rename [esg]
2 (run* [?es]
3 (query-changes esg ?es [?orig-ast ?field]
4 (in-current-es [es ast]
5 (== ?orig-ast ast)
6 (ast-field ast ?field))
7 change->+
8 (in-current-es [es ast]
9 (fresh [?renamed ?new-name]
0 (ast-field ast ?renamed)
1 (ast-field|absent ast ?field)
2 (ast-field|absent ?orig-ast ?renamed)))))
public class Example {
int x = 0;
}
public class Example {
int y = 0;
}
Approach: Before&After AST Specification
10. 10
public class Example {
int x = 0;
int y = 1;
}
public class Example {
}
Source AST Target AST
1 3
2 4
Regular Dependency
List Dependency
Change Dependency Graph
1. insert(int x, Example, Example, nil, :BodyDeclarations, 0)
2. insert(int y, Example, Example, nil, :BodyDeclarations, 1)
3. insert(0, nil, int x, nil, :Initializer, nil)
4. insert(1, nil, int y, nil, :Initializer, nil)
Distilled Change Sequence
public class Example {
}
public class Example {
int x = 0;
int y = 1;
}
public class Example {
int x;
}
public class Example {
int x = 0;
}
public class Example {
int x = 0;
int y;
}
public class Example {
int x;
int y;
}
public class Example {
int x;
int y = 1;
}
public class Example {
int y;
}
public class Example {
int y = 1;
}
1
2
3
2
1
4
2
3 4
1
34
Evolution State Graph
Implementation Overview
11. 11
1 3
2 4
Regular Dependency
List Dependency
1. insert(int x, Example, Example, nil, :BodyDeclarations, 0)
2. insert(int y, Example, Example, nil, :BodyDeclarations, 1)
3. insert(0, nil, int x, nil, :Initializer, nil)
4. insert(1, nil, int y, nil, :Initializer, nil)
Solution: Change Dependency Graph
Insert Dependency List Dependency
Source SourceTarget Target
Move Dependency
Source Target
α
13. 13
1. insert(int x, Example, Example, nil, :BodyDeclarations, 0)
2. insert(int y, Example, Example, nil, :BodyDeclarations, 1)
3. insert(0, nil, int x, nil, :Initializer, nil)
4. insert(1, nil, int y, nil, :Initializer, nil)
public class Example {
}
public class Example {
int x = 0;
int y = 1;
}
public class Example {
int x;
}
public class Example {
int x = 0;
}
public class Example {
int x = 0;
int y;
}
public class Example {
int x;
int y;
}
public class Example {
int x;
int y = 1;
}
public class Example {
int y;
}
public class Example {
int y = 1;
}
1
2
3
2
1
4
2
3 4
1
34
Solution: Evolution State Graph
14. • Detect instances of refactorings in open-source
projects using a single evolution query per
refactoring
• Ensure returned change sequences are minimal
and executable
• Compare our approach with the naive approach
K. Prete, N. Rachatasumrit, N. Sudan, and M. Kim,
“Template-based reconstruction of complex refactorings,”
in Proc. of the 2010 Int. Conf. on Software Maintenance (ICSM10)
E. Murphy-Hill, C. Parnin, and A. P. Black,
“How we refactor, and how we know it,”
Transactions on Software Engineering, vol. 38, pp. 5–18, 2012.
14
Evaluation: Outline
15. 15
ChangeNodes
Distiller
Known Refactorings
Magic
Constant
Field
Rename
Unused
Method
public class Example {
}
public class Example {
int x = 0;
int y = 1;
}
public class Example {
int x;
}
public class Example {
int x = 0;
}
public class Example {
int x = 0;
int y;
}
public class Example {
int x;
int y;
}
public class Example {
int x;
int y = 1;
}
public class Example {
int y;
}
public class Example {
int y = 1;
}
1
2
3
2
1
4
2
3 4
1
34
Evolution State Graph
Change Dependency Graph
1 3
2 4
Regular Dependency
List Dependency
Evolution Query
1 (query-changes esg ?es
2 [?absent ?method …]
3 (in-current-es [es ast]
4 (== ast ?absent)
5 (ast-method ast ?method)
6 (child+ ?method ?literal)
7 (literal-value ?literal ?value))
8 change->*
9 (in-current-es [es ast]
0 (ast-ast-field|introduced ?absent ast ?field)
1 (field-value|initialized ?field ?value)
2 (ast-method-method|corresponding …)
3 (child+ ?cmethod ?field-access)
4 (field-name|accessed ?field ?field-access)))
Minimal Executable Code Transformation
Insert Move Insert
Code Rev1
Code Rev2
Insert Move …
Evaluation: Outline
20. Conclusion
• The change equivalence problem renders specifying
a sought-after code transformation in terms of
changes difficult
• Our approach supports specifying code
transformations using before&after states in logic
queries
• Solutions to our queries are a minimal, executable
subsequence of changes that implements the sought-
after transformation
20