Behavioral Subtyping Is Equivalent to Modular Reasoning for Object-Oriented Programs
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Lecture 2: Variables and Primitive Data Types
Lecture 2: Variables and Primitive Data Types MIT-AITI Kenya 2005 1 In this lecture, you will learn… • What a variable is – Types of variables – Naming of variables – Variable assignment • What a primitive data type is • Other data types (ex. String) MIT-Africa Internet Technology Initiative 2 ©2005 What is a Variable? • In basic algebra, variables are symbols that can represent values in formulas. • For example the variable x in the formula f(x)=x2+2 can represent any number value. • Similarly, variables in computer program are symbols for arbitrary data. MIT-Africa Internet Technology Initiative 3 ©2005 A Variable Analogy • Think of variables as an empty box that you can put values in. • We can label the box with a name like “Box X” and re-use it many times. • Can perform tasks on the box without caring about what’s inside: – “Move Box X to Shelf A” – “Put item Z in box” – “Open Box X” – “Remove contents from Box X” MIT-Africa Internet Technology Initiative 4 ©2005 Variables Types in Java • Variables in Java have a type. • The type defines what kinds of values a variable is allowed to store. • Think of a variable’s type as the size or shape of the empty box. • The variable x in f(x)=x2+2 is implicitly a number. • If x is a symbol representing the word “Fish”, the formula doesn’t make sense. MIT-Africa Internet Technology Initiative 5 ©2005 Java Types • Integer Types: – int: Most numbers you’ll deal with. – long: Big integers; science, finance, computing. – short: Small integers. -
Source Code Auditing: Day 2
Source Code Auditing: Day 2 Penetration Testing & Vulnerability Analysis Brandon Edwards [email protected] Data Types Continued Data Type Signedness Remember, by default all data types are signed unless specifically declared otherwise But many functions which accept size arguments take unsigned values What is the difference of the types below? char y; unsigned char x; x = 255; y = -1; 3 Data Type Signedness These types are the same size (8-bits) char y; unsigned char x; 4 Data Type Signedness A large value in the unsigned type (highest bit set) is a negative value in the signed type char y; unsigned char x; 5 Data Type Bugs Same concept applies to 16 and 32 bit data types What are the implications of mixing signed & unsigned types ? #define MAXSOCKBUF 4096 int readNetworkData(int sock) { char buf[MAXSOCKBUF]; int length; read(sock, (char *)&length, 4); if (length < MAXSOCKBUF) { read(sock, buf, length); } } 6 Data Type Signedness The check is between two signed values… #define MAXSOCKBUF 4096 if (length < MAXSOCKBUF) So if length is negative (highest bit / signed bit set), it will evaluate as less than MAXSOCKBUF But the read() function takes only unsigned values for it’s size Remember, the highest bit (or signed bit is set), and the compiler implicitly converts the length to unsigned for read() 7 Data Type Signedness So what if length is -1 (or 0xFFFFFFFF in hex)? #define MAXSOCKBUF 4096 if (length < MAXSOCKBUF) { read(sock, buf, length); } When the length check is performed, it is asking if -1 is less than 4096 When the length is passed to read, it is converted to unsigned and becomes the unsigned equivalent of -1, which for 32bits is 4294967295 8 Data Type Bugs Variation in data type sizes can also introduce bugs Remember the primitive data type sizes? (x86): An integer type is 32bits A short type is 16bits A char type is 8 bits Sometimes code is written without considering differences between these. -
UML Profile for Communicating Systems a New UML Profile for the Specification and Description of Internet Communication and Signaling Protocols
UML Profile for Communicating Systems A New UML Profile for the Specification and Description of Internet Communication and Signaling Protocols Dissertation zur Erlangung des Doktorgrades der Mathematisch-Naturwissenschaftlichen Fakultäten der Georg-August-Universität zu Göttingen vorgelegt von Constantin Werner aus Salzgitter-Bad Göttingen 2006 D7 Referent: Prof. Dr. Dieter Hogrefe Korreferent: Prof. Dr. Jens Grabowski Tag der mündlichen Prüfung: 30.10.2006 ii Abstract This thesis presents a new Unified Modeling Language 2 (UML) profile for communicating systems. It is developed for the unambiguous, executable specification and description of communication and signaling protocols for the Internet. This profile allows to analyze, simulate and validate a communication protocol specification in the UML before its implementation. This profile is driven by the experience and intelligibility of the Specification and Description Language (SDL) for telecommunication protocol engineering. However, as shown in this thesis, SDL is not optimally suited for specifying communication protocols for the Internet due to their diverse nature. Therefore, this profile features new high-level language concepts rendering the specification and description of Internet protocols more intuitively while abstracting from concrete implementation issues. Due to its support of several concrete notations, this profile is designed to work with a number of UML compliant modeling tools. In contrast to other proposals, this profile binds the informal UML semantics with many semantic variation points by defining formal constraints for the profile definition and providing a mapping specification to SDL by the Object Constraint Language. In addition, the profile incorporates extension points to enable mappings to many formal description languages including SDL. To demonstrate the usability of the profile, a case study of a concrete Internet signaling protocol is presented. -
Behavioral Subtyping, Specification Inheritance, and Modular Reasoning Gary T
Computer Science Technical Reports Computer Science 9-3-2006 Behavioral Subtyping, Specification Inheritance, and Modular Reasoning Gary T. Leavens Iowa State University David A. Naumann Iowa State University Follow this and additional works at: http://lib.dr.iastate.edu/cs_techreports Part of the Software Engineering Commons Recommended Citation Leavens, Gary T. and Naumann, David A., "Behavioral Subtyping, Specification Inheritance, and Modular Reasoning" (2006). Computer Science Technical Reports. 269. http://lib.dr.iastate.edu/cs_techreports/269 This Article is brought to you for free and open access by the Computer Science at Iowa State University Digital Repository. It has been accepted for inclusion in Computer Science Technical Reports by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. Behavioral Subtyping, Specification Inheritance, and Modular Reasoning Abstract Behavioral subtyping is an established idea that enables modular reasoning about behavioral properties of object-oriented programs. It requires that syntactic subtypes are behavioral refinements. It validates reasoning about a dynamically-dispatched method call, say E.m(), using the specification associated with the static type of the receiver expression E. For languages with references and mutable objects the idea of behavioral subtyping has not been rigorously formalized as such, the standard informal notion has inadequacies, and exact definitions are not obvious. This paper formalizes behavioral subtyping and supertype abstraction for a Java-like sequential language with classes, interfaces, exceptions, mutable heap objects, references, and recursive types. Behavioral subtyping is proved sound and semantically complete for reasoning with supertype abstraction. Specification inheritance, as used in the specification language JML, is formalized and proved to entail behavioral subtyping. -
Advances in Programming Languages Lecture 18: Concurrency and More in Rust
Advances in Programming Languages Lecture 18: Concurrency and More in Rust Ian Stark School of Informatics The University of Edinburgh Friday 24 November 2016 Semester 1 Week 10 https://blog.inf.ed.ac.uk/apl16 Topic: Programming for Memory Safety The final block of lectures cover features used in the Rust programming language. Introduction: Zero-Cost Abstractions (and their cost) Control of Memory: Ownership Concurrency and more This section of the course is entirely new — Rust itself is not that old — and I apologise for any consequent lack of polish. Ian Stark Advances in Programming Languages / Lecture 18: Concurrency and More in Rust 2016-11-24 The Rust Programming Language The Rust language is intended as a tool for safe systems programming. Three key objectives contribute to this. Zero-cost abstractions Basic References Memory safety https://www.rust-lang.org https://blog.rust-lang.org Safe concurrency The “systems programming” motivation resonates with that for imperative C/C++. The “safe” part draws extensively on techniques developed for functional Haskell and OCaml. Sometimes these align more closely than you might expect, often by overlap between two aims: Precise control for the programmer; Precise information for the compiler. Ian Stark Advances in Programming Languages / Lecture 18: Concurrency and More in Rust 2016-11-24 Previous Homework Watch This Peter O’Hearn: Reasoning with Big Code https://is.gd/reasoning_big_code Talk at the Alan Turing Institute about how Facebook is using automatic verification at scale to check code and give feedback to programmers. Ian Stark Advances in Programming Languages / Lecture 18: Concurrency and More in Rust 2016-11-24 Guest Speaker ! Probabilistic Programming: What is it and how do we make it better? Maria Gorinova University of Edinburgh 3.10pm Tuesday 29 November 2016 Ian Stark Advances in Programming Languages / Lecture 18: Concurrency and More in Rust 2016-11-24 Optional: Review and Exam Preparation ! The final lecture will be an exam review, principally for single-semester visiting students. -
Developing Rust on Bare-Metal
RustyGecko - Developing Rust on Bare-Metal An experimental embedded software platform Håvard Wormdal Høiby Sondre Lefsaker Master of Science in Computer Science Submission date: June 2015 Supervisor: Magnus Lie Hetland, IDI Co-supervisor: Antonio Garcia Guirado, IDI Marius Grannæs, Silicon Labs Norwegian University of Science and Technology Department of Computer and Information Science Preface This report is submitted to the Norwegian University of Science and Technology in fulfillment of the requirements for master thesis. This work has been performed at the Department of Computer and Information Science, NTNU, with Prof. Magnus Lie Hetland as the supervisor, Antonio Garcia Guirado (ARM), and Marius Grannæs (Silicon Labs) as co-supervisors. The initial problem description was our own proposal and further developed in co-operation with our supervisors. Acknowledgements Thanks to Magnus Lie Hetland, Antonio Garcia Guirado, and Marius Grannæs for directions and guidance on technical issues and this report. Thanks to Silicon Labs for providing us with development platforms for us to develop and test our implementation on. Thanks to Antonio Garcia Guirado for the implementation of the CircleGame application for us to port to Rust and use in our benchmarks. Thanks to Itera w/Tommy Ryen for office space. A special thanks to Leslie Ho and Siri Aagedal for all the support and for proofreading the thesis. Sondre Lefsaker and H˚avard Wormdal Høiby 2015-06-14 i Project Description The Rust programming language is a new system language developed by Mozilla. With the language being statically compiled and built on the LLVM compiler infras- tructure, and because of features like low-level control and zero-cost abstractions, the language is a candidate for use in bare-metal systems. -
Xtend User Guide
Xtend User Guide September 10, 2013 Contents I. Getting Started 5 1. Introduction 6 2. Hello World 7 3. The Movies Example 9 3.1. The Data . .9 3.2. Parsing The Data . 10 3.3. Answering Some Questions . 11 3.3.1. Question 1 : What Is The Number Of Action Movies? . 11 3.3.2. Question 2 : What Is The Year The Best Movie From The 80's Was Released? . 12 3.3.3. Question 3 : What Is The The Sum Of All Votes Of The Top Two Movies?................................. 13 II. Reference Documentation 14 4. Java Interoperability 15 4.1. Type Inference . 15 4.2. Conversion Rules . 15 4.3. Interoperability with Java . 16 5. Classes and Members 17 5.1. Package Declaration . 17 5.2. Imports . 17 5.3. Class Declaration . 18 5.4. Constructors . 19 5.5. Fields . 19 5.6. Methods . 20 5.6.1. Abstract Methods . 20 5.6.2. Overriding Methods . 21 5.6.3. Declared Exceptions . 21 5.6.4. Inferred Return Types . 21 5.6.5. Generic Methods . 22 2 5.6.6. Dispatch Methods . 22 5.7. Annotations . 26 5.8. Extension Methods . 26 5.8.1. Extensions from the Library . 27 5.8.2. Local Extension Methods . 28 5.8.3. Extension Imports . 28 5.8.4. Extension Provider . 29 5.9. Interface Declaration . 29 5.10. Annotation Type Declaration . 30 5.11. Enum Type Declaration . 30 6. Expressions 31 6.1. Literals . 31 6.1.1. String Literals . 31 6.1.2. Character Literals . 32 6.1.3. Number Literals . -
UNIT–IV: Pointers
Q&A for Previous Year Questions Subject: CPDS (B.Tech. I Year) Subject Code: GR11A1003 UNIT-IV ------------------------------------------------------------------------------------------------------------------------------------------ UNIT–IV: Pointers: Pointers and Addresses, Pointers and function Arguments, Pointers and arrays, Address Arithmetic, Character pointers and Functions, Pointer Arrays, Pointers to Structures, Pointers to Pointers, Command Line Arguments. Files: Introduction, Types of Files, File Access Functions, I/O on Files, Random Access to Files, Error Handling. UNIT-IV 1) What is pointer in c programming? What are its benefits? Pointer is a user defined data type that creates special types of variables which can hold the address of primitive data type like char, int, float, double or user defined data type like function, pointer etc. or derived data type like array, structure, union, enum. Examples: int *ptr; int (*ptr)(); int (*ptr)[2]; Benefits of using pointers are:- 1) Pointers are more efficient in handling arrays and data tables. 2) Pointers can be used to return multiple values from a function via function arguments. 3) The use of pointer arrays to character strings results in saving of data storage space in memory. 4) Pointers allow C to support dynamic memory management. 5) Pointers provide an efficient tool for manipulating dynamic data structures such as structures , linked lists , queues , stacks and trees. 6) Pointers reduce length and complexity of programs. 7) They increase the execution speed and thus reduce the program execution time. 2) Explain the concept of pointers? In C programming every variable keeps two type of values. 1. Value of variable. 2. Address of variable where it has stored in the memory. -
The Rust Programming Language
The Rust Programming Language The Rust Team 2016-10-01 2 Contents 1 Introduction 11 Contributing ...................................... 11 2 Getting Started 13 Installing Rust ..................................... 13 Hello, world! ...................................... 16 Hello, Cargo! ...................................... 19 Closing Thoughts .................................... 23 3 Tutorial: Guessing Game 25 Set up .......................................... 25 Processing a Guess ................................... 26 Generating a secret number .............................. 30 Comparing guesses ................................... 33 Looping ......................................... 37 Complete! ........................................ 41 4 Syntax and Semantics 43 Variable Bindings ....................................... 43 Patterns ......................................... 43 Type annotations .................................... 44 Mutability ........................................ 44 Initializing bindings .................................. 45 Scope and shadowing .................................. 46 Functions ........................................... 48 Primitive Types ........................................ 53 Booleans ......................................... 53 4 CONTENTS char ........................................... 53 Numeric types ..................................... 54 Arrays .......................................... 55 Slices ........................................... 56 str ........................................... -
Preprocessing C++ : Meta-Class Aspects
Preprocessing C++ : Meta-Class Aspects Edward D. Willink Racal Research Limited, Worton Drive, Reading, England +44 118 923 8278 [email protected] Vyacheslav B. Muchnick Department of Computing, University of Surrey, Guildford, England +44 1483 300800 x2206 [email protected] ABSTRACT C++ satisfies the previously conflicting goals of Object-Orientation and run-time efficiency within an industrial strength language. Run-time efficiency is achieved by ignoring the meta-level aspects of Object-Orientation. In a companion paper [15] we show how extensions that replace the traditional preprocessor lexical substitution by an Object-Oriented meta-level substitution fit naturally into C++. In this paper, we place those extensions in the context of a compile-time meta-level, in which application meta-programs can execute to browse, check or create program declarations. An extended example identifies the marshalling aspect as a programming concern that can be fully separated and automatically generated by an application meta-program. Keywords Object-Oriented Language; Preprocessor; C++; Meta-Level; Composition; Weaving; Aspect-Oriented Programming; Pattern Implementation 1 INTRODUCTION Prior to C++, Object Orientation, as exemplified by Smalltalk, was perceived to be inherently inefficient because of the run-time costs associated with message dispatch. C++ introduced a more restrictive Object Model that enabled most of the run-time costs to be resolved by compile-time computation. As a result Object Orientation in C++ is efficient and widely used. C++ requires that the layout of objects be frozen at compile-time, and that the type of the recipient of any message is known. The layout constraint enables a single contiguous memory allocation for each object. -
COMP322 - Introduction to C++
COMP322 - Introduction to C++ Lecture 09 - Inheritance continued Robert D. Vincent School of Computer Science 10 March 2010 Recall from last time I Inheritance describes the creation of derived classes from base classes. I Derived classes inherit all data and functions from their base classes, while certain functions such as constructors are handled specially. I Polymorphism is a product of the combination of virtual functions and C++ assignment compatibility rules. I We can create abstract types which contain “pure” functions that may have no implementation. We can’t actually create objects from these types, but we can create references or pointers to abstract types. Static dispatch If a member function is not virtual, the choice of function to call is made at compile time: class A{ int f(); }; class B: public A{ int f(); }; int main() { B b; A *pa = &b; pa->f(); // Calls A::f() because pa is of type 'A *' } This is called either “static dispatch” or “static binding”, and it is the default behavior in C++. Dynamic dispatch If a member function is virtual, the choice of function to call is made at run time: class A{ virtual int f(); }; class B: public A{ int f(); }; int main() { B b; A *pa = &b; pa->f(); // Calls B::f() because pa points to a 'B *' } Called either “dynamic dispatch” or “run-time binding”, this is both more useful and less efficient than static dispatch. Dynamic dispatch internals I Dynamic dispatch is implemented by adding a layer of indirection to a function call. I Any object with dynamic dispatch contains an automatically-generated pointer to a vtable. -
Behavioral Subtyping, Specification
Behavioral Subtyping, Specification Inheritance, and Modular Reasoning Gary T. Leavens and David A. Naumann TR #06-20b July 21, 2006, revised Aug 4, Sept. 3 2006 Keywords: Behavioral subtyping, supertype abstraction, specification inheritance, modularity, specification, verification, state transformer, dynamic dispatch, invariants, Eiffel language, JML language. 2006 CR Categories: D.2.2 [Software Engineering] Design Tools and Techniques — Object-oriented design methods; D.2.3 [Software Engineering] Coding Tools and Techniques — Object-oriented programming; D.2.4 [Software Engineering] Software/Program Verification — Class invariants, correctness proofs, formal methods, programming by contract, reliability, tools, Eiffel, JML; D.2.7 [Software Engineering] Distribution, Maintenance, and Enhancement — Documentation; D.3.1 [Programming Languages] Formal Definitions and Theory — Semantics; D.3.2 [Programming Languages] Language Classifications — Object-oriented languages; D.3.3 [Programming Languages] Language Constructs and Features — classes and objects, inheritance; F.3.1 [Logics and Meanings of Programs] Specifying and Verifying and Reasoning about Programs — Assertions, invariants, logics of programs, pre- and post-conditions, specification techniques; Copyright c 2006 by Gary T. Leavens and David A. Naumann. Submitted for publication Department of Computer Science 226 Atanasoff Hall Iowa State University Ames, Iowa 50011-1041, USA Behavioral Subtyping, Specification Inheritance, and Modular Reasoning Gary T. Leavens ∗ David A. Naumann † Iowa State University Stevens Institute of Technology Ames, IA 50011 USA Hoboken, NJ 07030 USA [email protected] [email protected] Abstract understanding is embodied languages and tools such as Eiffel [30], JML Behavioral subtyping is an established idea that enables modular reason- [20], ESC/Java [16], and Spec# [8, 7]. But these have unsoundnesses and ing about behavioral properties of object-oriented programs.