Welcome to Software Analysis and Testing. in This Course, We Will Be Diving Deep Into the Theory and Practice of Software Analys
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Executable Code Is Not the Proper Subject of Copyright Law a Retrospective Criticism of Technical and Legal Naivete in the Apple V
Executable Code is Not the Proper Subject of Copyright Law A retrospective criticism of technical and legal naivete in the Apple V. Franklin case Matthew M. Swann, Clark S. Turner, Ph.D., Department of Computer Science Cal Poly State University November 18, 2004 Abstract: Copyright was created by government for a purpose. Its purpose was to be an incentive to produce and disseminate new and useful knowledge to society. Source code is written to express its underlying ideas and is clearly included as a copyrightable artifact. However, since Apple v. Franklin, copyright has been extended to protect an opaque software executable that does not express its underlying ideas. Common commercial practice involves keeping the source code secret, hiding any innovative ideas expressed there, while copyrighting the executable, where the underlying ideas are not exposed. By examining copyright’s historical heritage we can determine whether software copyright for an opaque artifact upholds the bargain between authors and society as intended by our Founding Fathers. This paper first describes the origins of copyright, the nature of software, and the unique problems involved. It then determines whether current copyright protection for the opaque executable realizes the economic model underpinning copyright law. Having found the current legal interpretation insufficient to protect software without compromising its principles, we suggest new legislation which would respect the philosophy on which copyright in this nation was founded. Table of Contents INTRODUCTION................................................................................................. 1 THE ORIGIN OF COPYRIGHT ........................................................................... 1 The Idea is Born 1 A New Beginning 2 The Social Bargain 3 Copyright and the Constitution 4 THE BASICS OF SOFTWARE .......................................................................... -
IBM Developer for Z/OS Enterprise Edition
Solution Brief IBM Developer for z/OS Enterprise Edition A comprehensive, robust toolset for developing z/OS applications using DevOps software delivery practices Companies must be agile to respond to market demands. The digital transformation is a continuous process, embracing hybrid cloud and the Application Program Interface (API) economy. To capitalize on opportunities, businesses must modernize existing applications and build new cloud native applications without disrupting services. This transformation is led by software delivery teams employing DevOps practices that include continuous integration and continuous delivery to a shared pipeline. For z/OS Developers, this transformation starts with modern tools that empower them to deliver more, faster, with better quality and agility. IBM Developer for z/OS Enterprise Edition is a modern, robust solution that offers the program analysis, edit, user build, debug, and test capabilities z/OS developers need, plus easy integration with the shared pipeline. The challenge IBM z/OS application development and software delivery teams have unique challenges with applications, tools, and skills. Adoption of agile practices Application modernization “DevOps and agile • Mainframe applications • Applications require development on the platform require frequent updates access to digital services have jumped from the early adopter stage in 2016 to • Development teams must with controlled APIs becoming common among adopt DevOps practices to • The journey to cloud mainframe businesses”1 improve their -
Static Analysis the Workhorse of a End-To-End Securitye Testing Strategy
Static Analysis The Workhorse of a End-to-End Securitye Testing Strategy Achim D. Brucker [email protected] http://www.brucker.uk/ Department of Computer Science, The University of Sheffield, Sheffield, UK Winter School SECENTIS 2016 Security and Trust of Next Generation Enterprise Information Systems February 8–12, 2016, Trento, Italy Static Analysis: The Workhorse of a End-to-End Securitye Testing Strategy Abstract Security testing is an important part of any security development lifecycle (SDL) and, thus, should be a part of any software (development) lifecycle. Still, security testing is often understood as an activity done by security testers in the time between “end of development” and “offering the product to customers.” Learning from traditional testing that the fixing of bugs is the more costly the later it is done in development, security testing should be integrated, as early as possible, into the daily development activities. The fact that static analysis can be deployed as soon as the first line of code is written, makes static analysis the right workhorse to start security testing activities. In this lecture, I will present a risk-based security testing strategy that is used at a large European software vendor. While this security testing strategy combines static and dynamic security testing techniques, I will focus on static analysis. This lecture provides a introduction to the foundations of static analysis as well as insights into the challenges and solutions of rolling out static analysis to more than 20000 developers, distributed across the whole world. A.D. Brucker The University of Sheffield Static Analysis February 8–12., 2016 2 Today: Background and how it works ideally Tomorrow: (Ugly) real world problems and challenges (or why static analysis is “undecideable” in practice) Our Plan A.D. -
The LLVM Instruction Set and Compilation Strategy
The LLVM Instruction Set and Compilation Strategy Chris Lattner Vikram Adve University of Illinois at Urbana-Champaign lattner,vadve ¡ @cs.uiuc.edu Abstract This document introduces the LLVM compiler infrastructure and instruction set, a simple approach that enables sophisticated code transformations at link time, runtime, and in the field. It is a pragmatic approach to compilation, interfering with programmers and tools as little as possible, while still retaining extensive high-level information from source-level compilers for later stages of an application’s lifetime. We describe the LLVM instruction set, the design of the LLVM system, and some of its key components. 1 Introduction Modern programming languages and software practices aim to support more reliable, flexible, and powerful software applications, increase programmer productivity, and provide higher level semantic information to the compiler. Un- fortunately, traditional approaches to compilation either fail to extract sufficient performance from the program (by not using interprocedural analysis or profile information) or interfere with the build process substantially (by requiring build scripts to be modified for either profiling or interprocedural optimization). Furthermore, they do not support optimization either at runtime or after an application has been installed at an end-user’s site, when the most relevant information about actual usage patterns would be available. The LLVM Compilation Strategy is designed to enable effective multi-stage optimization (at compile-time, link-time, runtime, and offline) and more effective profile-driven optimization, and to do so without changes to the traditional build process or programmer intervention. LLVM (Low Level Virtual Machine) is a compilation strategy that uses a low-level virtual instruction set with rich type information as a common code representation for all phases of compilation. -
Studying the Real World Today's Topics
Studying the real world Today's topics Free and open source software (FOSS) What is it, who uses it, history Making the most of other people's software Learning from, using, and contributing Learning about your own system Using tools to understand software without source Free and open source software Access to source code Free = freedom to use, modify, copy Some potential benefits Can build for different platforms and needs Development driven by community Different perspectives and ideas More people looking at the code for bugs/security issues Structure Volunteers, sponsored by companies Generally anyone can propose ideas and submit code Different structures in charge of what features/code gets in Free and open source software Tons of FOSS out there Nearly everything on myth Desktop applications (Firefox, Chromium, LibreOffice) Programming tools (compilers, libraries, IDEs) Servers (Apache web server, MySQL) Many companies contribute to FOSS Android core Apple Darwin Microsoft .NET A brief history of FOSS 1960s: Software distributed with hardware Source included, users could fix bugs 1970s: Start of software licensing 1974: Software is copyrightable 1975: First license for UNIX sold 1980s: Popularity of closed-source software Software valued independent of hardware Richard Stallman Started the free software movement (1983) The GNU project GNU = GNU's Not Unix An operating system with unix-like interface GNU General Public License Free software: users have access to source, can modify and redistribute Must share modifications under same -
Chapter 1 Introduction to Computers, Programs, and Java
Chapter 1 Introduction to Computers, Programs, and Java 1.1 Introduction • The central theme of this book is to learn how to solve problems by writing a program . • This book teaches you how to create programs by using the Java programming languages . • Java is the Internet program language • Why Java? The answer is that Java enables user to deploy applications on the Internet for servers , desktop computers , and small hand-held devices . 1.2 What is a Computer? • A computer is an electronic device that stores and processes data. • A computer includes both hardware and software. o Hardware is the physical aspect of the computer that can be seen. o Software is the invisible instructions that control the hardware and make it work. • Computer programming consists of writing instructions for computers to perform. • A computer consists of the following hardware components o CPU (Central Processing Unit) o Memory (Main memory) o Storage Devices (hard disk, floppy disk, CDs) o Input/Output devices (monitor, printer, keyboard, mouse) o Communication devices (Modem, NIC (Network Interface Card)). Bus Storage Communication Input Output Memory CPU Devices Devices Devices Devices e.g., Disk, CD, e.g., Modem, e.g., Keyboard, e.g., Monitor, and Tape and NIC Mouse Printer FIGURE 1.1 A computer consists of a CPU, memory, Hard disk, floppy disk, monitor, printer, and communication devices. CMPS161 Class Notes (Chap 01) Page 1 / 15 Kuo-pao Yang 1.2.1 Central Processing Unit (CPU) • The central processing unit (CPU) is the brain of a computer. • It retrieves instructions from memory and executes them. -
The Interplay of Compile-Time and Run-Time Options for Performance Prediction Luc Lesoil, Mathieu Acher, Xhevahire Tërnava, Arnaud Blouin, Jean-Marc Jézéquel
The Interplay of Compile-time and Run-time Options for Performance Prediction Luc Lesoil, Mathieu Acher, Xhevahire Tërnava, Arnaud Blouin, Jean-Marc Jézéquel To cite this version: Luc Lesoil, Mathieu Acher, Xhevahire Tërnava, Arnaud Blouin, Jean-Marc Jézéquel. The Interplay of Compile-time and Run-time Options for Performance Prediction. SPLC 2021 - 25th ACM Inter- national Systems and Software Product Line Conference - Volume A, Sep 2021, Leicester, United Kingdom. pp.1-12, 10.1145/3461001.3471149. hal-03286127 HAL Id: hal-03286127 https://hal.archives-ouvertes.fr/hal-03286127 Submitted on 15 Jul 2021 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. The Interplay of Compile-time and Run-time Options for Performance Prediction Luc Lesoil, Mathieu Acher, Xhevahire Tërnava, Arnaud Blouin, Jean-Marc Jézéquel Univ Rennes, INSA Rennes, CNRS, Inria, IRISA Rennes, France [email protected] ABSTRACT Both compile-time and run-time options can be configured to reach Many software projects are configurable through compile-time op- specific functional and performance goals. tions (e.g., using ./configure) and also through run-time options (e.g., Existing studies consider either compile-time or run-time op- command-line parameters, fed to the software at execution time). -
Precise and Scalable Static Program Analysis of NASA Flight Software
Precise and Scalable Static Program Analysis of NASA Flight Software G. Brat and A. Venet Kestrel Technology NASA Ames Research Center, MS 26912 Moffett Field, CA 94035-1000 650-604-1 105 650-604-0775 brat @email.arc.nasa.gov [email protected] Abstract-Recent NASA mission failures (e.g., Mars Polar Unfortunately, traditional verification methods (such as Lander and Mars Orbiter) illustrate the importance of having testing) cannot guarantee the absence of errors in software an efficient verification and validation process for such systems. Therefore, it is important to build verification tools systems. One software error, as simple as it may be, can that exhaustively check for as many classes of errors as cause the loss of an expensive mission, or lead to budget possible. Static program analysis is a verification technique overruns and crunched schedules. Unfortunately, traditional that identifies faults, or certifies the absence of faults, in verification methods cannot guarantee the absence of errors software without having to execute the program. Using the in software systems. Therefore, we have developed the CGS formal semantic of the programming language (C in our static program analysis tool, which can exhaustively analyze case), this technique analyses the source code of a program large C programs. CGS analyzes the source code and looking for faults of a certain type. We have developed a identifies statements in which arrays are accessed out Of static program analysis tool, called C Global Surveyor bounds, or, pointers are used outside the memory region (CGS), which can analyze large C programs for embedded they should address. -
Three Architectural Models for Compiler-Controlled Speculative
Three Architectural Mo dels for Compiler-Controlled Sp eculative Execution Pohua P. Chang Nancy J. Warter Scott A. Mahlke Wil liam Y. Chen Wen-mei W. Hwu Abstract To e ectively exploit instruction level parallelism, the compiler must move instructions across branches. When an instruction is moved ab ove a branch that it is control dep endent on, it is considered to b e sp eculatively executed since it is executed b efore it is known whether or not its result is needed. There are p otential hazards when sp eculatively executing instructions. If these hazards can b e eliminated, the compiler can more aggressively schedule the co de. The hazards of sp eculative execution are outlined in this pap er. Three architectural mo dels: re- stricted, general and b o osting, whichhave increasing amounts of supp ort for removing these hazards are discussed. The p erformance gained by each level of additional hardware supp ort is analyzed using the IMPACT C compiler which p erforms sup erblo ckscheduling for sup erscalar and sup erpip elined pro cessors. Index terms - Conditional branches, exception handling, sp eculative execution, static co de scheduling, sup erblo ck, sup erpip elining, sup erscalar. The authors are with the Center for Reliable and High-Performance Computing, University of Illinois, Urbana- Champaign, Illinoi s, 61801. 1 1 Intro duction For non-numeric programs, there is insucient instruction level parallelism available within a basic blo ck to exploit sup erscalar and sup erpip eli ned pro cessors [1][2][3]. Toschedule instructions b eyond the basic blo ck b oundary, instructions havetobemoved across conditional branches. -
Advanced Systems Security: Symbolic Execution
Systems and Internet Infrastructure Security Network and Security Research Center Department of Computer Science and Engineering Pennsylvania State University, University Park PA Advanced Systems Security:! Symbolic Execution Trent Jaeger Systems and Internet Infrastructure Security (SIIS) Lab Computer Science and Engineering Department Pennsylvania State University Systems and Internet Infrastructure Security (SIIS) Laboratory Page 1 Problem • Programs have flaws ‣ Can we find (and fix) them before adversaries can reach and exploit them? • Then, they become “vulnerabilities” Systems and Internet Infrastructure Security (SIIS) Laboratory Page 2 Vulnerabilities • A program vulnerability consists of three elements: ‣ A flaw ‣ Accessible to an adversary ‣ Adversary has the capability to exploit the flaw • Which one should we focus on to find and fix vulnerabilities? ‣ Different methods are used for each Systems and Internet Infrastructure Security (SIIS) Laboratory Page 3 Is It a Flaw? • Problem: Are these flaws? ‣ Failing to check the bounds on a buffer write? ‣ printf(char *n); ‣ strcpy(char *ptr, char *user_data); ‣ gets(char *ptr) • From man page: “Never use gets().” ‣ sprintf(char *s, const char *template, ...) • From gnu.org: “Warning: The sprintf function can be dangerous because it can potentially output more characters than can fit in the allocation size of the string s.” • Should you fix all of these? Systems and Internet Infrastructure Security (SIIS) Laboratory Page 4 Is It a Flaw? • Problem: Are these flaws? ‣ open( filename, O_CREAT ); -
Design and Implementation of Generics for the .NET Common Language Runtime
Design and Implementation of Generics for the .NET Common Language Runtime Andrew Kennedy Don Syme Microsoft Research, Cambridge, U.K. fakeÒÒ¸d×ÝÑeg@ÑicÖÓ×ÓfغcÓÑ Abstract cally through an interface definition language, or IDL) that is nec- essary for language interoperation. The Microsoft .NET Common Language Runtime provides a This paper describes the design and implementation of support shared type system, intermediate language and dynamic execution for parametric polymorphism in the CLR. In its initial release, the environment for the implementation and inter-operation of multiple CLR has no support for polymorphism, an omission shared by the source languages. In this paper we extend it with direct support for JVM. Of course, it is always possible to “compile away” polymor- parametric polymorphism (also known as generics), describing the phism by translation, as has been demonstrated in a number of ex- design through examples written in an extended version of the C# tensions to Java [14, 4, 6, 13, 2, 16] that require no change to the programming language, and explaining aspects of implementation JVM, and in compilers for polymorphic languages that target the by reference to a prototype extension to the runtime. JVM or CLR (MLj [3], Haskell, Eiffel, Mercury). However, such Our design is very expressive, supporting parameterized types, systems inevitably suffer drawbacks of some kind, whether through polymorphic static, instance and virtual methods, “F-bounded” source language restrictions (disallowing primitive type instanti- type parameters, instantiation at pointer and value types, polymor- ations to enable a simple erasure-based translation, as in GJ and phic recursion, and exact run-time types. -
Static Program Analysis Via 3-Valued Logic
Static Program Analysis via 3-Valued Logic ¡ ¢ £ Thomas Reps , Mooly Sagiv , and Reinhard Wilhelm ¤ Comp. Sci. Dept., University of Wisconsin; [email protected] ¥ School of Comp. Sci., Tel Aviv University; [email protected] ¦ Informatik, Univ. des Saarlandes;[email protected] Abstract. This paper reviews the principles behind the paradigm of “abstract interpretation via § -valued logic,” discusses recent work to extend the approach, and summarizes on- going research aimed at overcoming remaining limitations on the ability to create program- analysis algorithms fully automatically. 1 Introduction Static analysis concerns techniques for obtaining information about the possible states that a program passes through during execution, without actually running the program on specific inputs. Instead, static-analysis techniques explore a program’s behavior for all possible inputs and all possible states that the program can reach. To make this feasible, the program is “run in the aggregate”—i.e., on abstract descriptors that repre- sent collections of many states. In the last few years, researchers have made important advances in applying static analysis in new kinds of program-analysis tools for identi- fying bugs and security vulnerabilities [1–7]. In these tools, static analysis provides a way in which properties of a program’s behavior can be verified (or, alternatively, ways in which bugs and security vulnerabilities can be detected). Static analysis is used to provide a safe answer to the question “Can the program reach a bad state?” Despite these successes, substantial challenges still remain. In particular, pointers and dynamically-allocated storage are features of all modern imperative programming languages, but their use is error-prone: ¨ Dereferencing NULL-valued pointers and accessing previously deallocated stor- age are two common programming mistakes.