Intro to Jython, Part 1: Java Programming Made Easier Skill Level: Introductory
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How Can Java Class Files Be Decompiled?
HOW CAN JAVA CLASS FILES BE DECOMPILED? David Foster Chamblee High School 11th Grade Many computer science courses feature building a compiler as a final project. I have decided to take a spin on the idea and instead develop a decompiler. Specifically, I decided to write a Java decompiler because: one, I am already familiar with the Java language, two, the language syntax does not suffer from feature-bloat, and three, there do not appear to be many Java decompilers currently on the market. I have approached the task of writing a decompiler as a matter of translating between two different languages. In our case, the source language is Java Virtual Machine (VM) Bytecode, and the target language is the Java Language. As such, our decompiler will attempt to analyze the semantics of the bytecode and convert it into Java source code that has equivalent semantics. A nice sideeffect of this approach is that our decompiler will not be dependent upon the syntax of the bytecodes, the compiler used to generate the bytecodes, or the source language (possibly not Java). It will only care whether a class-file’s semantics can be represented in the Java language. Decompilation is divided up into six phases: 1. Read opcodes 2. Interpret opcode behavior 3. Identify Java-language “idioms” 4. Identify patterns of control-flow 5. Generate Java-language statements 6. Format and output to file The first four phases will be discussed in detail within this paper, as they were the primary focus of my research. Further details pertaining to these phases can be gleaned from the accompanying log book. -
Advanced Programming for the Java(TM) 2 Platform
Advanced Programming for the Java(TM) 2 Platform Training Index Advanced Programming for the JavaTM 2 Platform By Calvin Austin and Monica Pawlan November 1999 [CONTENTS] [NEXT>>] [DOWNLOAD] Requires login As an experienced developer on the JavaTM platform, you undoubtedly know how fast moving and comprehensive the Early Access platform is. Its many application programming interfaces (APIs) Downloads provide a wealth of functionality for all aspects of application and system-level programming. Real-world developers never use one Bug Database or two APIs to solve a problem, but bring together key Submit a Bug functionality spanning a number of APIs. Knowing which APIs you View Database need, which parts of which APIs you need, and how the APIs work together to create the best solution can be a daunting task. Newsletters Back Issues To help you navigate the Java APIs and fast-track your project Subscribe development time, this book includes the design, development, test, and deployment phases for an enterprise-worthy auction Learning Centers application. While the example application does not cover every Articles possible programming scenario, it explores many common Bookshelf situations and the discussions leave you with a solid methodology Code Samples for designing and building your own solutions. New to Java Question of the Week This book is for developers with more than a beginning level of Quizzes understanding of writing programs in the Java programming Tech Tips language. The example application is written with the Java® 2 Tutorials platform APIs and explained in terms of functional hows and whys, so if you need help installing the Java platform, setting up your Forums environment, or getting your first application to work, you should first read a more introductory book such as Essentials of the Java Programming Language: A Hands-On Guide or The Java Tutorial. -
Information Retrieval from Java Archive Format
Eötvös Loránd University Faculty of Informatics Department of Programming Languages and Compilers Information retrieval from Java archive format Supervisor: Author: Dr. Zoltán Porkoláb Bálint Kiss Associate Professor Computer Science MSc Budapest, 2017 Abstract During the course of my work, I contributed to CodeCompass, an open source code comprehension tool made for making codebase of software projects written in C, C++ and Java more understandable through navigation and visualization. I was tasked with the development of a module for recovering code information of Java classes in JAR files. This document details background concepts required for reverse- engineering Java bytecode, creating a prototype JAR file reader and how this solu- tion could be integrated to CodeCompass. First, I studied the structure of JAR format and how class files are stored in it. I looked into the Java Class file structure and how bytecode contained in class gets interpreted by the Java Virtual Machine. I also looked at existing decompilers and what bytecode libraries are. I created a proof-of-concept prototype that reads compiled classes from JAR file and extracts code information. I first showcased the use of Java Reflection API, then the use of Apache Commons Byte Code Engineering Library, a third-party bytecode library used for extracting and representing parts of Java class file as Java objects. Finally, I examined how CodeCompass works, how part of the prototype could be integrated into it and demonstrated the integration through parsing of a simple JAR file. i Acknowledgements I would like to thank Dr. Zoltán Porkoláb, Associate Professor of the Department of Programming Languages and Compilers at the Faculty of Informatics for admit- ting me to the CodeCompass project, supplying the thesis topic and helping with the documentation. -
Sun Glassfish Enterprise Server V3 Scripting Framework Guide
Sun GlassFish Enterprise Server v3 Scripting Framework Guide Sun Microsystems, Inc. 4150 Network Circle Santa Clara, CA 95054 U.S.A. Part No: 820–7697–11 December 2009 Copyright 2009 Sun Microsystems, Inc. 4150 Network Circle, Santa Clara, CA 95054 U.S.A. All rights reserved. Sun Microsystems, Inc. has intellectual property rights relating to technology embodied in the product that is described in this document. In particular, and without limitation, these intellectual property rights may include one or more U.S. patents or pending patent applications in the U.S. and in other countries. U.S. Government Rights – Commercial software. Government users are subject to the Sun Microsystems, Inc. standard license agreement and applicable provisions of the FAR and its supplements. This distribution may include materials developed by third parties. Parts of the product may be derived from Berkeley BSD systems, licensed from the University of California. UNIX is a registered trademark in the U.S. and other countries, exclusively licensed through X/Open Company, Ltd. Sun, Sun Microsystems, the Sun logo, the Solaris logo, the Java Coffee Cup logo, docs.sun.com, Enterprise JavaBeans, EJB, GlassFish, J2EE, J2SE, Java Naming and Directory Interface, JavaBeans, Javadoc, JDBC, JDK, JavaScript, JavaServer, JavaServer Pages, JMX, JRE, JSP,JVM, MySQL, NetBeans, OpenSolaris, SunSolve, Sun GlassFish, ZFS, Java, and Solaris are trademarks or registered trademarks of Sun Microsystems, Inc. or its subsidiaries in the U.S. and other countries. All SPARC trademarks are used under license and are trademarks or registered trademarks of SPARC International, Inc. in the U.S. and other countries. -
(Cont'd) Current Trends
Scripting vs Systems Programming Languages (cont’d) Designed for gluing Designed for building Does application implement complex algorithms and data applications : flexibility applications : efficiency structures? Does application process large data sets (>10,000 items)? Interpreted Compiled Are application functions well-defined, fixed? Dynamic variable creation Variable declaration If yes, consider a system programming language. Data and code integrated : Data and code separated : meta-programming cannot create/run code on Is the main task to connect components, legacy apps? supported the fly Does the application manipulate a variety of things? Does the application have a GUI? Dynamic typing (typeless) Static typing Are the application's functions evolving rapidly? Examples: PERL, Tcl, Examples: PL/1, Ada, Must the application be extensible? Python, Ruby, Scheme, Java, C/C++, C#, etc Does the application do a lot of string manipulation? Visual Basic, etc If yes, consider a scripting language. cs480 (Prasad) LSysVsScipt 1 cs480 (Prasad) LSysVsScipt 2 Current Trends Jython (for convenient access to Java APIs) Hybrid Languages : Scripting + Systems Programming I:\tkprasad\cs480>jython – Recent JVM-based Scripting Languages Jython 2.1 on java1.4.1_02 (JIT: null) Type "copyright", "credits" or "license" for more information. »Jython : Python dialect >>> import javax.swing as swing >>> win = swing.JFrame("Welcome to Jython") »Clojure : LISP dialect >>> win.size = (200, 200) »Scala : OOP +Functional Hybrid >>> win.show() -
Amazon Codeguru Profiler
Amazon CodeGuru Profiler User Guide Amazon CodeGuru Profiler User Guide Amazon CodeGuru Profiler: User Guide Copyright © Amazon Web Services, Inc. and/or its affiliates. All rights reserved. Amazon's trademarks and trade dress may not be used in connection with any product or service that is not Amazon's, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon. Amazon CodeGuru Profiler User Guide Table of Contents What is Amazon CodeGuru Profiler? ..................................................................................................... 1 What can I do with CodeGuru Profiler? ......................................................................................... 1 What languages are supported by CodeGuru Profiler? ..................................................................... 1 How do I get started with CodeGuru Profiler? ................................................................................ 1 Setting up ......................................................................................................................................... 3 Set up in the Lambda console ..................................................................................................... 3 Step 1: Sign up for AWS .................................................................................................... -
Attachment A
Board of Governors, State University System of Florida Request to Offer a New Degree Program (Please do not revise this proposal format without prior approval from Board staff) University of West Florida Fall 2018 University Submitting Proposal Proposed Implementation Term Hal Marcus College of Science and Engineering Computer Science Name of College(s) or School(s) Name of Department(s)/ Division(s) Bachelor of Science in Computer Computer Science Science Academic Specialty or Field Complete Name of Degree 11.0701 Proposed CIP Code The submission of this proposal constitutes a commitment by the university that, if the proposal is approved, the necessary financial resources and the criteria for establishing new programs have been met prior to the initiation of the program. Date Approved by the University Board of President Date Trustees Signature of Chair, Board of Date Provost and Senior Vice Date Trustees President Provide headcount (HC) and full-time equivalent (FTE) student estimates of majors for Years 1 through 5. HC and FTE estimates should be identical to those in Table 1 in Appendix A. Indicate the program costs for the first and the fifth years of implementation as shown in the appropriate columns in Table 2 in Appendix A. Calculate an Educational and General (E&G) cost per FTE for Years 1 and 5 (Total E&G divided by FTE). Projected Implementation Projected Program Costs Enrollment Timeframe (From Table 2) (From Table 1) E&G Contract E&G Auxiliary Total HC FTE Cost per & Grants Funds Funds Cost FTE Funds Year 1 150 96.87 3,241 313,960 0 0 313,960 Year 2 150 96.87 Year 3 160 103.33 Year 4 160 103.33 Year 5 170 109.79 3,426 376,087 0 0 376,087 1 Note: This outline and the questions pertaining to each section must be reproduced within the body of the proposal to ensure that all sections have been satisfactorily addressed. -
The Circle Meta-Model
Document:P2062R0 Revises: (original) Date: 01-11-2020 Audience: SG7 Authors: Wyatt Childers ([email protected]) Andrew Sutton ([email protected]) Faisal Vali ([email protected]) Daveed Vandevoorde ([email protected]) The Circle Meta-model Introduction During the November 2019 meeting in Belfast, some of the SG7 participants enthusiastically mentioned Circle1 as providing a more intuitive compile-time programming model and suggested that SG7 investigate overhauling the de-facto SG7 approach (P1240+P17332) to follow Circle's general approach (to reflection and metaprogramming). This paper describes a framework for understanding metaprogramming systems and provides a high-level overview of some of Circle's main characteristics, contrasting them to P1240's approach augmented with an injection mechanism along the lines of P1717. While we appreciate some of Circle’s powerful capabilities, we also raise some concerns with its underlying model and provide arguments in support of P1240’s choices as being a more suitable fit for C++’s evolution. The Dimensions of Reflective Programming In P0633, we identified three “dimensions” of compile-time reflective metaprogramming: 1. Control: How are compile-time computations effected/interpreted? What are metaprograms? 2. Reflection: How are source constructs are made available as data for use in metaprograms? 3. Synthesis: How can “code” be generated from a programmatic representation? 1 https://www.circle-lang.org/ Circle is an impressive project: Sean Baxter developed a brand new C++17-like front end on top of LLVM, incorporating a variety of new compile-time capabilities that align closely with SG7's goals. For Sean’s motivations, see https://github.com/seanbaxter/circle/blob/master/examples/README.md#why-i-wrote-circle. -
Comparative Studies of Programming Languages; Course Lecture Notes
Comparative Studies of Programming Languages, COMP6411 Lecture Notes, Revision 1.9 Joey Paquet Serguei A. Mokhov (Eds.) August 5, 2010 arXiv:1007.2123v6 [cs.PL] 4 Aug 2010 2 Preface Lecture notes for the Comparative Studies of Programming Languages course, COMP6411, taught at the Department of Computer Science and Software Engineering, Faculty of Engineering and Computer Science, Concordia University, Montreal, QC, Canada. These notes include a compiled book of primarily related articles from the Wikipedia, the Free Encyclopedia [24], as well as Comparative Programming Languages book [7] and other resources, including our own. The original notes were compiled by Dr. Paquet [14] 3 4 Contents 1 Brief History and Genealogy of Programming Languages 7 1.1 Introduction . 7 1.1.1 Subreferences . 7 1.2 History . 7 1.2.1 Pre-computer era . 7 1.2.2 Subreferences . 8 1.2.3 Early computer era . 8 1.2.4 Subreferences . 8 1.2.5 Modern/Structured programming languages . 9 1.3 References . 19 2 Programming Paradigms 21 2.1 Introduction . 21 2.2 History . 21 2.2.1 Low-level: binary, assembly . 21 2.2.2 Procedural programming . 22 2.2.3 Object-oriented programming . 23 2.2.4 Declarative programming . 27 3 Program Evaluation 33 3.1 Program analysis and translation phases . 33 3.1.1 Front end . 33 3.1.2 Back end . 34 3.2 Compilation vs. interpretation . 34 3.2.1 Compilation . 34 3.2.2 Interpretation . 36 3.2.3 Subreferences . 37 3.3 Type System . 38 3.3.1 Type checking . 38 3.4 Memory management . -
Sub-Method Structural and Behavioral Reflection Marcus Denker
Sub-method Structural and Behavioral Reflection Marcus Denker To cite this version: Marcus Denker. Sub-method Structural and Behavioral Reflection. Computer Science [cs]. Universität Bern, 2008. English. tel-00555937 HAL Id: tel-00555937 https://tel.archives-ouvertes.fr/tel-00555937 Submitted on 14 Jan 2011 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Sub-method Structural and Behavioral Reflection Inauguraldissertation der Philosophisch-naturwissenschaftlichen Fakultät der Universität Bern vorgelegt von Marcus Denker von Deutschland Leiter der Arbeit: Prof. Dr. O. Nierstrasz Institut für Informatik und angewandte Mathematik Von der Philosophisch-naturwissenschaftlichen Fakultät angenommen. Bern, 26.05.2008 Der Dekan: Prof. Dr. P. Messerli This dissertation is available as a free download from http://scg.unibe.ch Copyright © 2008 Marcus Denker. The contents of this dissertation 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). -
Characteristics of Dynamic JVM Languages
Characteristics of Dynamic JVM Languages Aibek Sarimbekov Andrej Podzimek Lubomir Bulej University of Lugano Charles University in Prague University of Lugano fi[email protected] [email protected]ff.cuni.cz fi[email protected] Yudi Zheng Nathan Ricci Walter Binder University of Lugano Tufts University University of Lugano fi[email protected] [email protected] fi[email protected] Abstract However, since the JVM was originally conceived for The Java Virtual Machine (JVM) has become an execution a statically-typed language, the performance of the JVM platform targeted by many programming languages. How- and its JIT compiler with dynamically-typed languages is ever, unlike with Java, a statically-typed language, the per- often lacking, lagging behind purpose-built language-specific formance of the JVM and its Just-In-Time (JIT) compiler JIT compilers. Making the JVM perform well with various with dynamically-typed languages lags behind purpose-built statically- and dynamically-typed languages clearly requires language-specific JIT compilers. In this paper, we aim to significant effort, not only in optimizing the JVM itself, but contribute to the understanding of the workloads imposed on also, more importantly, in optimizing the bytecode-emitting the JVM by dynamic languages. We use various metrics to language compiler, instead of just relying on the original JIT characterize the dynamic behavior of a variety of programs to gain performance [8]. This in turn requires that developers written in three dynamic languages (Clojure, Python, and of both the language compilers and the JVM understand the Ruby) executing on the JVM. We identify the differences characteristics of the JVM workloads produced by various with respect to Java, and briefly discuss their implications. -
Debian Java Insights and Challenges
Debian Java Insights and challenges Markus Koschany FOSDEM 19 Brussels / Belgium February, 3rd 2019 Markus Koschany Debian Java: Insights and challenges FOSDEM 19 1/7 The importance of Java Source / binary packages maintained by the Java team: 1033 / 1644 (+10,84 % since Debian 9) Source lines of code (Rank 3) : 90,744,884 Popcon value OpenJDK-8 (installed): 78104 / 199604 Popular libraries: apache-commons-*, javamail, xerces2, bouncycastle Popular applications: libreoffice, netbeans, pdfsam, sweethome3d, freeplane, freecol Frequently used for scientific research, medical care and bioinformatics. Markus Koschany Debian Java: Insights and challenges FOSDEM 19 2/7 What is new in Buster? OpenJDK 11 transition completed. (required more than 400! package updates) Build tools: Ant and Maven are up-to-date. Gradle is stuck at the last pre-Kotlin version. SBT is still being worked on. JVM languages: Groovy 2.14, Scala 2.11.12 (2.12 requires SBT), Clojure 1.9, Jython 1.7.1, JRuby 9.1.13 (?), Kotlin is wanted but hard to bootstrap. IDE: Eclipse is gone (lack of maintainers) but there is Netbeans 10 now. Server: Jetty 9.4 and Tomcat 9 fully up-to-date with systemd integration. Reproducibility rate is at 85% (was 75%) https://reproducible-builds.org Markus Koschany Debian Java: Insights and challenges FOSDEM 19 3/7 Packaging challenges “None of the packages in the main archive area require software outside of that area to function” Internet downloads at build time are not allowed No prebuilt jar or class files! Java is version-centric. Every developer has to update every dependency themself in this model.