Moussiades, Lefteris, Kiourt, Chairi · KALLIPOS REPOSITORY · 2022
This undergraduate book presents the procedural and object-oriented programming model with the Java language. After a brief historical review, key concepts, design principles and technologies of Java are presented. Next is the installation of Java and the NetBeans development environment. Fundamental types, local variables, operators, essential input and output, flow control, one-dimensional and multi-dimensional arrays, static variables and functions, function overloading, parameters, accessors, Java packages, application development stages including documentation, debugging and testing, recursion, mutual recursion, fundamental features of object-oriented programming, encapsulation, inheritance and polymorphism, enumerated types, nested classes are discussed in detail. Also included is an introduction to some widely used Java classes, interfaces, handling structured files, binary files, random access files, data serialization, java generics and the exception mechanism. The compendium ends with a presentation of special topics such as lambda expressions and memoization. Each chapter includes solved and unsolved exercises, classics and originals. At the same time, two evaluation criteria are provided, one concerning the procedural model and one the object-oriented model. Finally, two appendices are added, one explaining integer encoding and one listing Java keywords.
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Kußmaul, Tobias · Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) · 2016
The size of software constantly increases and the amount of new software released every day is too large to verify it manually. Since smart phone apps have access to private data, software verification is needed to reduce vulnerabilities and detect malicious products. Static code analysis inspects a program without executing it and is therefore a solution to these problems. Many static code analysis tools are based on Soot [VR+00], which is a static analysis framework for Java. Soot transforms the Java bytecode or source code into Jimple [VRH98], a three-address intermediate representation, and supports Dalvik bytecode, which is the bytecode Android apps are compiled to. In this work we introduce an extension to Soot which allows with some limitations the transformation of Common Intermediate Language (CIL) code, the bytecode of the Microsoft .NET platform, to unmodified Jimple code. Using this extension Windows Phone apps as well as other .NET applications can be analyzed by Soot, or any tools based on Soot. As .NET is newer than Java, it supports more features. For example, the .NET bytecode CIL uses generics while in Java all generics have to be removed during compilation. We had to deal with this and other problems while creating the extension to Soot always considering not to modify Jimple. This allows easy integration into Soot and every other tool which is based on Soot. As some features are not representable in Jimple, e.g., unmanaged pointers, or delegates, the extension fails to analyze programs containing them. However, we showed for some of them how an implementation could look like. These ideas have to be realized in the future. In the case of transforming bytecode to Jimple our extension is slower than Soot. Since we did not focus on performance during development we expect that the performance can be optimized.
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Kußmaul, Tobias · Fraunhofer-Publica (Fraunhofer-Gesellschaft) · 2016
The size of software constantly increases and the amount of new software released every day is too large to verify it manually. Since smart phone apps have access to private data, software verification is needed to reduce vulnerabilities and detect malicious products. Static code analysis inspects a program without executing it and is therefore a solution to these problems. Many static code analysis tools are based on Soot [VR+00], which is a static analysis framework for Java. Soot transforms the Java bytecode or source code into Jimple [VRH98], a three-address intermediate representation, and supports Dalvik bytecode, which is the bytecode Android apps are compiled to. In this work we introduce an extension to Soot which allows with some limitations the transformation of Common Intermediate Language (CIL) code, the bytecode of the Microsoft .NET platform, to unmodified Jimple code. Using this extension Windows Phone apps as well as other .NET applications can be analyzed by Soot, or any tools based on Soot. As .NET is newer than Java, it supports more features. For example, the .NET bytecode CIL uses generics while in Java all generics have to be removed during compilation. We had to deal with this and other problems while creating the extension to Soot always considering not to modify Jimple. This allows easy integration into Soot and every other tool which is based on Soot. As some features are not representable in Jimple, e.g., unmanaged pointers, or delegates, the extension fails to analyze programs containing them. However, we showed for some of them how an implementation could look like. These ideas have to be realized in the future. In the case of transforming bytecode to Jimple our extension is slower than Soot. Since we did not focus on performance during development we expect that the performance can be optimized.
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2012
This This course continues the the coverage of of the the fundamental concepts of of Object Oriented Programming that that started in in Java Java Programming I I (CSC 112). In In the the Java Java Programming I, I, considerable time time is is spent concentrating on on the the fundamental programming concepts such such as as declarations of of variables and and basic control structures, methods and and arrays, prior prior to to introducing students to to the the concepts of of classes and and objects. The The Java Java Programming II II covers more advanced topics such such as as packages, inheritance, polymorphism, interfaces, error error handling view view exceptions, file- filehandling techniques, generics, graphics and and event-driven programming and and data data structures in in which discusses the the techniques used used to to create and and manipulate dynamic data data structures, such such as as linked lists, lists, stacks and and queues. Course Objectives • After completing this course, the student will be be able to: to: Understand the the use use of of programming tools tools such such as as API API Understand how how to to create create and and use use packages Understand and and use use object-oriented programming concepts including
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Jun Yang, Yu Xiong, Jinxin Ma · 2019
In this article, we mainly propose a method of function level code clone detection for Java language. The method includes a source code preprocessing strategy which unifies some Java grammatical features such as lambda expressions, anonymous classes and generics through code preprocessing. After the source code is preprocessed, the function extraction is performed to get all functions from source code, and then a filtering mechanism is carried out to filter out the useless comparing pairs with large difference in sequence length. Finally, we combine the longest common subsequence algorithm and the suffix array algorithm to perform the similarity calculation according to the size of the function. The experimental results in twenty open source software show that our method improves both accuracy and efficiency.
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Herbert Kuchen, Steffen Ernsting · Procedia Computer Science · 2012
In the past years, multi-core processors and clusters of multi-core processors have emerged to be promising approaches to meet the growing demand for computing performance. They deliver scalable performance, certainly at the costs of tedious and complex parallel programming. Due to a lack of high-level abstractions, developers of parallel applications have to deal with low-level details such as coordinating threads or synchronizing processes. Thus, parallel programming still remains a dificult and error-prone task. In order to shield the programmer from these low–level details, algorithmic skeletons have been proposed. They encapsulate typical parallel programming patterns and have emerged to be an effcient and scalable approach to simplifying the development of parallel applications. In this paper, we present a Java binding of our skeleton library Muesli. We point out strengths and weaknesses of Java with respect to parallel and distributed computing. A matrix multiplication benchmark demonstrates that the Java Generics deliver poor performance, thus the Java implementation is unable to compete with the C++ implementation in terms of performance.
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ejeriqlsp · Zenodo (CERN European Organization for Nuclear Research) · 2024
java cheat sheet for interview pdf Rating: 4.3 / 5 (1317 votes) Downloads: 49151 = = = = = CLICK HERE TO DOWNLOAD = = = = = Well cover A interview cheat sheet I built in preperation of an interview. Youll get to Top Java Interview Questions and Answers. Check the breakdown below to review basic, advanced, OOPs, exception handling, and programming Java interview 1, · TopJava Interview Questions and Answers for Freshers & Experienced in (With Free PDF) Find the comprehensive guide to Java interview questions and answers for both freshers and experienced professionals. CORE JAVA CHEATSHEET Learn JAVA from experts at Java Programming Iterative Statements Java is a high level, general purpose programming language that produces software for multiple platforms. Learn Intermediate Java: Threading. // Implicit casting happens because we try to store a short // value (2 bytes) in an int (4 bytes). Repeat this process for each outlined step in your solution JavaCheat Sheet. Feel free to fork it, make suggestions for adding items to this list. 7, · Java is well-known for its robustness in Object-Oriented Programming (OOP), and it provides a comprehensive foundation essential for developers at every level. Explicit: we do it manually. Learn Intermediate Java: Threading The fourth step in the technical interview process is to whiteboard your solution after you have previously outlined it. Learn about Java syntax and methods. The compiler will completely ignore all whitespacePrimitive Data Types Theprimitivevariabletypesare Whether youre a Java fresher or an experienced developer, this cheat sheet will be a valuable resource POLYMORPHISM: Single Inheritance with "extends" class A{ } class B extends A{ } abstract class C { } class D extends C { } class E extends D In Java, we have two types of casting: Implicit: happens automatically when we store a value in a larger or more precise data type. Learn Intermediate Java: Input and Output. Cheatsheets. Cheatsheets. int x = 1; Cheatsheets. Coding Interview Python Language Cpp_ Java Fundamentals STL Quick Reference pdf. Learn Intermediate Java: Generics and Collections. Make this step as collaborative as possible by explaining to the interviewer the code you are about to write before writing it on the board. Cheatsheets. I built this cheat sheet to fit the position I was Let's look at some questions that you might be asked when you go for an interview for any opportunities that need Java. Appendix. We also recommend you brush up on your Java skills with this Java Cheat Sheet before starting your Java interview preparation. Setting up the Environment Groovy for Java Devs Groovy for Scala Devs. This Java cheat sheet covers everything from Java basics to advanced concepts, including keywords, operators, control flow, packages, methods, polymorphism, inheritance, exceptions, and more. Here we have discussed themost frequently asked Java interview questions and answers PDF. you can download the PDF file for free at the End of the Article. Arrays In Java "publicclassLinkedList"mustbeinafilecalled" "Classescancontainamethod"publicstaticvoidmain(String[]args)"asanentry pointtothewholeprogramWhitespace does NOT matter in java. Here, we have covered the top interview questions on Java that are likely to be asked when you appear for your job Cheatsheets. JavaCheat Sheet. Java Interview Questions and Answers PDFJava. short x = 1; int y = x; // Explicit casting. Learn Intermediate Java: Generics and Collections. Cheatsheets. This A complete computer science study plan to become a software engineerjwasham/coding-interview-university This course features more than of the most commonly asked core Java interview questions that youre likely to face as an experienced software engineer. We have divided these interview questions into several sections. Co ademy has hundreds of free and easy to use cheatsheets that cover dozens of coding languages and are created by our world-class curriculum developers C Reference Card (ANSI) pdf. Learn Intermediate Java: Input and Output. It was developed by James Gosling in and released by Sun Microsystems in and is currently owned by Oracle.
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Ben Brosgol · ACM SIGAda Ada Letters · 2009
Prerequisites: Familiarity with Object Oriented Programming principles in a language such as Ada, Java, or C++. No previous experience with C# or .NET is assumed. This tutorial will describe the main elements of the C# programming language and the Common Language Infrastructure (whose implementation by Microsoft is knows as .NET). It will focus on C#'s more novel language features, using examples and comparisons with other languages (in particular, Ada and Java) to describe the semantics. Specific C# language topics to be covered include the compilation model, namespaces, types, generics, exception handling, and threading. Common Language Infrastructure / .NET topics include summaries of the Base Class Library, Common Intermediate Language, Common Language System, Common Type System and Virtual Execution System. In short, this tutorial may be considered as the presenter's response to the following question: "C# is sometimes described as Microsoft's answer to Java. Is this an accurate assessment, and in any event how do C# and .NET relate to Ada?"
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Adriaan Moors, Frank Piessens, Martin Odersky · 2007
Generics are a very popular feature of contemporary OO languages, such as Java, C # or Scala. Their support for genericity is lacking, however. The problem is that they only support abstracting over proper types, and not over generic types. This limitation makes it impossible to, e.g., define a precise interface for Iterable, a core abstraction in Scala’s collection API. We implemented “type constructor polymorphism” in Scala 2.5, which solves this problem at the root, thus greatly reducing the duplication of type signatures and code.
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Peter Buchlovsky, Hayo Thielecke · Electronic Notes in Theoretical Computer Science · 2006
In object-oriented languages, the Visitor pattern can be used to traverse tree-like data structures: a visitor object contains some operations, and the data structure objects allow themselves to be traversed by accepting visitors. In the polymorphic lambda calculus (System F), tree-like data structures can be encoded as polymorphic higher-order functions. In this paper, we reconstruct the Visitor pattern from the polymorphic encoding by way of generics in Java. We sketch how the quantified types in the polymorphic encoding can guide reasoning about visitors in general.
Cited by 27Open access
Peter Buchlovsky, Hayo Thielecke · 2005
In object-oriented languages, the Visitor pattern can be used to traverse tree-like data structures: a visitor object contains some operations, and the data structure objects allow themselves to be traversed by accepting visitors. In the polymorphic lambda calculus (System F), tree-like data structures can be encoded as polymorphic higher-order functions. In this paper, we reconstruct the Visitor pattern from the polymorphic encoding by way of generics in Java. We sketch how the quantified types in the polymorphic encoding can guide reasoning about visitors in general.
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Josh Juneau, Carl Dea, Freddy Guime et al. · Apress eBooks · 2012
Java is one of the most capable programming languages in use today. Java powers the desktop, the enterprise, the Web, mobile devices, and much more. As a Java developer, regardless of which space you are working in, there are some parts of the language that you use occasionally as needed, other parts of the language that you use rarely, and those parts of the language that you likely use on a regular basis. In this Chapter, we present a variety of recipes covering topics that fall into the latter category. All Java applications require the use of data structures, iteration, and conditional control flow. You will find recipes covering the use of classes from the Java Collections Framework as well as Java arrays. If you are a new Java developer, there is a recipe to get you up to speed quickly on the use of generic types with the Collection classes. Regardless of your level of Java experience, be sure to check out this recipe to read about a new Java 7 feature, the diamond syntax, which will make your life easier if you are doing a lot of generics programming. In the iteration category, you may find the recipes on the use of the Iterable interface, the enhanced for loop, and Map iteration useful. There is a recipe that demonstrates a longawaited addition to the language, finally appearing in Java 7: the ability to use Strings in the switch statement.KeywordsSwitch StatementCollection TypePublic VoidEnum TypeStock ListThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Grék, Jan · Digital Repository (National Repository of Grey Literature) · 2007
This work aims to introduce the world of aspect-oriented programming to a Java programmer and help her/him to understand main approaches and to sharpen lines between some of the AO languages, mainly AspectJ and CaesarJ. First part is about foundations of AOP, based on the paper by Kiczales et al. and paper of Filman and Friedman. I also discuss AOP-related approaches to software development. Another theme is an impact of AOP on modularity in the context of the work of Kiczales, Mezini and work of Aldrich. In the second part I describe AspectJ. I elaborate on the jumping aspect problem and show alternative solutions to it. Then I describe qualities of Gof design patterns AspectJ implementation, based on work by Hannemann and Kiczales and explain AOP community reaction. I give alternative approaches to observer design pattern implementation in AspectJ and discuss their difficulties. The third part is about AO languages, Java Layers and CaesarJ. I explain, why mixins are not possible with Java Generics and elaborate on work by Mezini and Osterman about CaesarJ and give more detailed analysis of problems addressed by CaesarJ in relation to AspectJ and Java.
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Robert M. Fuhrer, Frank Tip, Julian Dolby et al. · 2005
Abstract. Java 1.5 generics enable the creation of reusable container classes with compiler-enforced type-safe usage. This eliminates the need for potentially unsafe down-casts when retrieving elements from containers. We present a refactoring that replaces raw references to generic library classes with parameterized references. The refactoring infers actual type parameters for allocation sites and declarations using an existing framework of type constraints, and removes casts that have been rendered redundant. The refactoring was implemented in Eclipse, a popular open-source development environment for Java, and laid the grounds for a similar refactoring in the forthcoming Eclipse 3.1 release. We evaluated our work by refactoring several Java programs that use the standard collections framework to use Java 1.5’s generic version instead. In these benchmarks, on average, 48.6 % of the casts are removed, and 91.2 % of the compiler warnings related to the use of raw types are eliminated. Our approach distinguishes itself from the state-of-the-art [8] by being more scalable, by its ability to accommodate user-defined subtypes of generic library classes, and by being incorporated in a popular integrated development environment. 1
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Jarek P. Sacha · 2012
ImageJ libraries and plugins are traditionally developed using Java. Java provides execution speed and a programming environment suitable for creation of large code bases. Smaller, more expressive, code is created using ImageJ macros and scripting in dynamic languages like JavaScript or Groovy. Macros/scripts help quickly create specialized code with minimal boiler-plate, in syntax more expressive than Java. Main drawbacks are a much slower execution speed and a need to learn/use two different types of syntax for scripting and plugin/ library code. Scala is a statically-typed general purpose language that has a feel of a dynamic language. You can create code that is as expressive as a dynamic language but executes at the speed of compiled Java code. It can be used both for scripting, without loss of execution speed, and for “regular” library code. Scala code integrates with existing Java libraries like ImageJ. Java can also call Scala libraries. Scala builds on strength of Java, adding many advanced language features like closures, traits, type inference, powerful generics and concurrency support, and many more. This presentation will show how Scala can be used to create image analysis libraries and scripts that are more expressive (smaller number of lines and characters) then existing Java code, at the same time being at least as fast or faster. Scala annotations can be used to actually generate code that is more computationally efficient than equivalent Java code. Specialized compiler plugins can be used to further optimize the byte code and to take advantage of dedicated hardware, like GPUs.
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Li, Haofeng, Lu, Jie, Meng, Haining et al. · Figshare · 2022
Generic programming has been extensively used in object-oriented programs such as Java. However, existing context-sensitive pointer analyses perform poorly in analyzing generics. This paper introduces \emph{generic sensitivity}, a new context customization scheme targeting generics. We design our context customization scheme in such a way that generic instantiation sites, i.e., locations instantiating generic classes/methods with concrete types, are always preserved as key context elements. This is realized by augmenting contexts with a type variable lookup map, which is efficiently updated during the analysis in a context-sensitive manner. <br> We have implemented different variants of generic-sensitive analysis in \textsc{Wala} and experimental results show that the generic customization scheme can significantly improve performance and precision of context-sensitive pointer analyses. For instance, generic context customization significantly improves precision of 1-object-sensitive analysis, with an average speedup of 1.8$\times$. In addition, generic context customization enables a 1-object-sensitive analysis to achieve overall better precision than a 2-object-sensitive analysis, with an averagely speed up of 12.6 $\times$ (62 $\times$ for \texttt{chart}).
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Li, Haofeng, Lu, Jie, Meng, Haining et al. · Figshare · 2022
Generic programming has been extensively used in object-oriented programs such as Java. However, existing context-sensitive pointer analyses perform poorly in analyzing generics. This paper introduces \emph{generic sensitivity}, a new context customization scheme targeting generics. We design our context customization scheme in such a way that generic instantiation sites, i.e., locations instantiating generic classes/methods with concrete types, are always preserved as key context elements. This is realized by augmenting contexts with a type variable lookup map, which is efficiently updated during the analysis in a context-sensitive manner. <br> We have implemented different variants of generic-sensitive analysis in \textsc{Wala} and experimental results show that the generic customization scheme can significantly improve performance and precision of context-sensitive pointer analyses. For instance, generic context customization significantly improves precision of 1-object-sensitive analysis, with an average speedup of 1.8$\times$. In addition, generic context customization enables a 1-object-sensitive analysis to achieve overall better precision than a 2-object-sensitive analysis, with an averagely speed up of 12.6 $\times$ (62 $\times$ for \texttt{chart}).
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2008
This paper describes wildcards, a new language construct designed to increase the flexibility of object-oriented type systems with parameterized classes. Based on the notion of use-site variance, wildcards provide type safe abstraction over different instantiations of parameterized classes, by using ‘? ’ to denote unspecified type arguments. Thus they essentially unify the distinct families of classes that parametric polymorphism introduces. Wildcards are implemented as part of the addition of generics to the Java TM programming language, and is thus deployed world-wide as part of the reference implementation of the Java compiler javac available from Sun Microsystems, Inc. By providing a richer type system, wildcards allow for an improved type inference scheme for polymorphic method calls. Moreover, by means of a novel notion of wildcard capture, polymorphic methods can be used to give symbolic names to unspecified types, in a manner similar to the “open ” construct known from existential types. Wildcards show up in numerous places in the Java Platform APIs of the newest release, and some of the examples in this paper are taken from these APIs. 1
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Suman Roychoudhury, Jeff Gray, Jing Zhang et al. · 2008
Aspect-oriented programming provides assistance in modularizing concerns that crosscut the boundaries of a system decomposition. Aspects have the potential to interact with many different kinds of language constructs in order to modularize cross-cutting concerns. Although several aspect languages have demonstrated advantages in applying aspects to traditional modularization boundaries (e.g., object-oriented hierar-chies), additional language concepts such as parametric polymorphism can also bene-fit from aspects. Many popular programming languages support parametric polymor-phism (e.g., C++ templates), but with the emergence of generics in Java 5, the combi-nation of aspects and generics is a topic in need of further investigation. The contribu-tion of this paper is a technique to support aspect-oriented programming within C++ templates using a program transformation system. The paper enumerates the general challenges of uniting aspects with templates through various examples. The core re-search idea presented in this paper is applied to a large open-source C++ template library written for scientific computing. 1 Key words: Program transformation, aspect-oriented programming, parametric poly-
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Radhika S. Grover · Scholar Commons (Santa Clara University) · 2011
Every new copy of Programming With Java: A Multimedia Approach is packaged with student access to Turingscraft Codelab. Suitable for readers with little or no programming experience, this comprehensive introduction to programming with Java provides readers with an easy-to-understand, in-depth treatment of Java. Programming With Java: A Multimedia Approach uses multimedia-based programs as a means of instruction. With this book, the reader will learn Java using programs that draw graphics and images, perform animation, read and play audio files, display video, and more. Unlike the conventional approach of using a console output in programs, this book utilizes a multimedia approach right from the start, creating examples that are imaginative and interesting. The author carefully explains both basic and advanced concepts by providing simple frameworks that the reader can use to write programs. With a focus on hands-on learning, a large project is developed incrementally in relevant chapters to help explain new concepts as well as demonstrate how these concepts relate to material previously discussed. Programming With Java: A Multimedia Approach covers topics such as Java 2D classes, user-defined classes, inheritance, interfaces, exception handling, GUI programming, generics and collections, multithreaded programming, and more. Turingscraft Codelab access is available for adopting professors. Custom Codelab: Codelab is a web-based interactive programming exercise service that has been customized to accompany this text. It provides numerous short exercises, each focused on a particular programming idea or language construct. The student types in code and the system immediately judges its correctness, offering hints when the submission is incorrect.
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