Comparative Analysis of Formal Specification Languages Z, VDM and B
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Department of Computer Science & Engineering
COURSE STURCTURE Of 4 YEARS DEGREE B.TECH. (Information Technology) Department of Computer Science & Engineering SCHOOL OF INFORMATION AND COMMUNICATION TECHNOLOGY GAUTAM BUDDHA UNIVERSITY GAUTAM BUDH NAGAR, GREATER NOIDA 2018-2019 4-Years Degree B. TECH. (Information Technology) I-YEAR (I-SEMESTER) (Effective from session: 2018-19) SEMESTER-I S r . Subject Code Courses L-T-P Credits CBCS/AICTE No. THEORY 1 PH102 Engineering Physics 3-1-0 4 CC/BS 2 MA101 Engineering Mathematics – I 3-1-0 4 CC/BS 3 ME101 Engineering Mechanics 3-1-0 4 CC/ESC 4 EE102 Basics Electrical Engineering 3-1-0 4 CC/ESC 5 ES101 Environmental Science 2-0-0 2 AECC/BS 6 EN101 English Proficiency 2-0-0 2 AECC/HSMC PRACTICALS 7 PH 104 Engineering Physics Lab 0-0-2 1 CC/BS 8 EE 104 Basic Electrical Engineering Lab 0-0-2 1 CC/ESC 9 ME102* Workshop Practices 1-0-2 2 CC/ESC 10 EN151 Language Lab 0-0-2 1 AECC/HSMC 11 GP General Proficiency - Non Credit Total 17-4-8 25 Total Contact Hours 29 I-YEAR (II-SEMESTER) (Effective from session: 2018-19) SEMESTER – II S r. Subject Code Courses L-T-P Credits CBCS/AICTE No. THEORY 1 CY101 Engineering Chemistry 3-1-0 4 CC/BS 2 MA102 Engineering Mathematics – II 3-1-0 4 CC/BS 3 EC101 Basic Electronics Engineering 3-1-0 4 CC/ESC 4 CS101 Fundamentals of Computer 3-1-0 4 SEC/ESC Programming 5 BS101 Human Values & Buddhist Ethics 2-0-0 2 AECC/HSMC PRACTICALS 6 CY 103 Engineering Chemistry Lab 0-0-2 1 CC/BS 7 EC 181 Basic Electronics Engineering Lab 0-0-2 1 CC/ESC 8 CS 181 Computer Programming Lab 0-0-2 1 SEC/ESC 9 CE103* Engineering Graphics 1-0-2 2 CC/ESC 10 GP General Proficiency - Non Credit Total 15-4-8 23 Total Contact Hours 27 II-YEAR (III-SEMESTER) (Effective from session: 2018-19) EVALUATION SCHEME PERIO SESSIO MID CBC CREDI COUR DS S. -
Formal Specification— Z Notation— Syntax, Type and Semantics
Formal Specification— Z Notation| Syntax, Type and Semantics Consensus Working Draft 2.6 August 24, 2000 Developed by members of the Z Standards Panel BSI Panel IST/5/-/19/2 (Z Notation) ISO Panel JTC1/SC22/WG19 (Rapporteur Group for Z) Project number JTC1.22.45 Project editor: Ian Toyn [email protected] http://www.cs.york.ac.uk/~ian/zstan/ This is a Working Draft by the Z Standards Panel. It has evolved from Consensus Working Draft 2.5 of June 20, 2000 according to remarks received and discussed at Meeting 56 of the Z Panel. ISO/IEC 13568:2000(E) Contents Page Foreword . iv Introduction . v 1 Scope ....................................................... 1 2 Normative references . 1 3 Terms and definitions . 1 4 Symbols and definitions . 3 5 Conformance . 14 6 Z characters . 18 7 Lexis........................................................ 24 8 Concrete syntax . 30 9 Characterisation rules . 38 10 Annotated syntax . 40 11 Prelude . 43 12 Syntactic transformation rules . 44 13 Type inference rules . 54 14 Semantic transformation rules . 66 15 Semantic relations . 71 Annex A (normative) Mark-ups . 79 Annex B (normative) Mathematical toolkit . 90 Annex C (normative) Organisation by concrete syntax production . 107 Annex D (informative) Tutorial . 153 Annex E (informative) Conventions for state-based descriptions . 166 Bibliography . 168 Index . 169 ii c ISO/IEC 2000|All rights reserved ISO/IEC 13568:2000(E) Figures 1 Phases of the definition . 15 B.1 Parent relation between sections of the mathematical toolkit . 90 D.1 Parse tree of birthday book example . 155 D.2 Annotated parse tree of part of axiomatic example . -
A Classification and Comparison Framework for Software Architecture Description Languages
A Classification and Comparison Framework for Software Architecture Description Languages Neno Medvidovic Technical Report UCI-ICS-97-02 Department of Information and Computer Science University of California, Irvine Irvine, California 92697-3425 [email protected] February 1996 Abstract Software architectures shift the focus of developers from lines-of-code to coarser- grained architectural elements and their overall interconnection structure. Architecture description languages (ADLs) have been proposed as modeling notations to support architecture-based development. There is, however, little consensus in the research community on what is an ADL, what aspects of an architecture should be modeled in an ADL, and which of several possible ADLs is best suited for a particular problem. Furthermore, the distinction is rarely made between ADLs on one hand and formal specification, module interconnection, simulation, and programming languages on the other. This paper attempts to provide an answer to these questions. It motivates and presents a definition and a classification framework for ADLs. The utility of the definition is demonstrated by using it to differentiate ADLs from other modeling notations. The framework is also used to classify and compare several existing ADLs. One conclusion is that, although much research has been done in this area, no single ADL fulfills all of the identified needs. I. Introduction Software architecture research is directed at reducing costs of developing applications and increasing the potential for commonality between different members of a closely related product family [GS93, PW92]. Software development based on common architectural idioms has its focus shifted from lines-of-code to coarser-grained architectural elements (software components and connectors) and their overall interconnection structure. -
An Architectural Description Language for Secure Multi-Agent Systems
An Architectural Description Language for Secure Multi-Agent Systems Haralambos Mouratidis1,a, Manuel Kolpb, Paolo Giorginic, Stephane Faulknerd aInnovative Informatics Group, School of Computing, IT and Engineering, University of East London, England b Information Systems Research Unit, Catholic University of Louvain (UCL), Belgium c Department. of Information and Communication Technology, University of Trento, Italy d Information Management Research Unit, University of Namur, Belgium Abstract. Multi-Agent Systems (MAS) architectures are gaining popularity for building open, distributed, and evolving information systems. Unfortunately, despite considerable work in the fields of software architecture and MAS during the last decade, few research efforts have aimed at defining languages for designing and formalising secure agent architectures. This paper proposes a novel Architectural Description Language (ADL) for describing Belief-Desire-Intention (BDI) secure MAS. We specify each element of our ADL using the Z specification language and we employ two example case studies: one to assist us in the description of the proposed language and help readers of the article to better understand the fundamentals of the language; and one to demonstrate its applicability. Keyword: Architectural Description Language, Multi-Agent Systems, Security, BDI Agent Model, Software Architecture 1 Corresponding Author: [email protected] 1 1. Introduction However, as the expectations of business stakeholders are changing day after day; and The characteristics and expectations of as the complexity of systems, information new application areas for the enterprise, and communication technologies and such as e-business, knowledge management, organisations is continually increasing in peer-to-peer computing, and web services, today’s dynamic environments; developers are deeply modifying information systems are expected to produce architectures that engineering. -
Should Your Specification Language Be Typed?
Should Your Specification Language Be Typed? LESLIE LAMPORT Compaq and LAWRENCE C. PAULSON University of Cambridge Most specification languages have a type system. Type systems are hard to get right, and getting them wrong can lead to inconsistencies. Set theory can serve as the basis for a specification lan- guage without types. This possibility, which has been widely overlooked, offers many advantages. Untyped set theory is simple and is more flexible than any simple typed formalism. Polymorphism, overloading, and subtyping can make a type system more powerful, but at the cost of increased complexity, and such refinements can never attain the flexibility of having no types at all. Typed formalisms have advantages too, stemming from the power of mechanical type checking. While types serve little purpose in hand proofs, they do help with mechanized proofs. In the absence of verification, type checking can catch errors in specifications. It may be possible to have the best of both worlds by adding typing annotations to an untyped specification language. We consider only specification languages, not programming languages. Categories and Subject Descriptors: D.2.1 [Software Engineering]: Requirements/Specifica- tions; D.2.4 [Software Engineering]: Software/Program Verification—formal methods; F.3.1 [Logics and Meanings of Programs]: Specifying and Verifying and Reasoning about Pro- grams—specification techniques General Terms: Verification Additional Key Words and Phrases: Set theory, specification, types Editors’ introduction. We have invited the following -
Architecture Description Language) COMS W4115 Alan Khara Ask2206 February 11, 2014
1 of 13 General Purpose ADL (Architecture Description Language) COMS W4115 Alan Khara Ask2206 February 11, 2014 1.0 Introduction In the design of system architecture1, a blueprint of the system typically comes second, after requirements are gathered in the process of architecture development. This is followed by design verification and, later, implementation. Initially, the domain of Architecture Description Languages (ADLs) was confined to the design phase and was highly motivated by Object Oriented paradigm [1] [2] [3]. ADLs were mainly graphical in nature, with numerous Line and Box representations that were later standardized by Object Management Group (OMG) in Unified Model Language2 (UML) [4][5]. Being quickly adopted by industry, UML was infested with ambiguous features: a given relationship between components of a system could be ambiguous and yield two different interpretations of the same drawing [2]. Research during the last decade has worked to solve this problem on two different fronts. One line of research seeks to extend UML in order to make it less ambiguous [6] [7] [8] [9]. Another kind of research is finding new ADLs (graphical and text based) that have more rigorous and well defined semantics [10] [11] [12][13]. Both of these trends are important with respect to defining the problem scope of the proposed project. Because they are mainly driven by industry, efforts to extend UML are inherently domain- specific [14]. The primary motivation behind the development of UML is to overcome ambiguity and reduced the communication gap that exists among various stakeholders. This is tackled by either introducing constraints or adding new vocabulary. -
Comparative Studies of 10 Programming Languages Within 10 Diverse Criteria Revision 1.0
Comparative Studies of 10 Programming Languages within 10 Diverse Criteria Revision 1.0 Rana Naim∗ Mohammad Fahim Nizam† Concordia University Montreal, Concordia University Montreal, Quebec, Canada Quebec, Canada [email protected] [email protected] Sheetal Hanamasagar‡ Jalal Noureddine§ Concordia University Montreal, Concordia University Montreal, Quebec, Canada Quebec, Canada [email protected] [email protected] Marinela Miladinova¶ Concordia University Montreal, Quebec, Canada [email protected] Abstract This is a survey on the programming languages: C++, JavaScript, AspectJ, C#, Haskell, Java, PHP, Scala, Scheme, and BPEL. Our survey work involves a comparative study of these ten programming languages with respect to the following criteria: secure programming practices, web application development, web service composition, OOP-based abstractions, reflection, aspect orientation, functional programming, declarative programming, batch scripting, and UI prototyping. We study these languages in the context of the above mentioned criteria and the level of support they provide for each one of them. Keywords: programming languages, programming paradigms, language features, language design and implementation 1 Introduction Choosing the best language that would satisfy all requirements for the given problem domain can be a difficult task. Some languages are better suited for specific applications than others. In order to select the proper one for the specific problem domain, one has to know what features it provides to support the requirements. Different languages support different paradigms, provide different abstractions, and have different levels of expressive power. Some are better suited to express algorithms and others are targeting the non-technical users. The question is then what is the best tool for a particular problem. -
Research on Consistency Checking of Different Aspects Models of the Information System
VILNIUS GEDIMINAS TECHNICAL UNIVERSITY Rūta DUBAUSKAITĖ RESEARCH ON CONSISTENCY CHECKING OF DIFFERENT ASPECTS MODELS OF THE INFORMATION SYSTEM DOCTORAL DISSERTATION TECHNOLOGICAL SCIENCES, INFORMATICS ENGINEERING (07T) Vilnius 2012 Doctoral dissertation was prepared at Vilnius Gediminas Technical University in 2008–2012. Scientific Supervisor Prof Dr Olegas VASILECAS (Vilnius Gediminas Technical University, Technological Sciences, Informatics Engineering – 07T). Consultant – įrašoma, jeigu reikia Assoc Prof Dr Name SURNAME (Vilnius Gediminas Technical University, Technolo- gical Sciences, Electrical and Electronic Engineering – 01T). VGTU leidyklos TECHNIKA 2022-M mokslo literatūros knyga http://leidykla.vgtu.lt ISBN 978-609-457-298-2 © VGTU leidykla TECHNIKA, 2012 © Rūta Dubauskaitė, 2012 [email protected] VILNIAUS GEDIMINO TECHNIKOS UNIVERSITETAS Rūta DUBAUSKAITĖ INFORMACINĖS SISTEMOS SKIRTINGŲ ASPEKTŲ MODELIŲ DARNOS TIKRINIMO TYRIMAS DAKTARO DISERTACIJA TECHNOLOGIJOS MOKSLAI, INFORMATIKOS INŽINERIJA (07T) Vilnius 2012 Disertacija rengta 2008–2012 metais Vilniaus Gedimino technikos universi- tete. (Disertacija ginama eksternu.) – įrašoma, jeigu reikia Mokslinis vadovas (eksternui – Mokslinis konsultantas) prof. dr. Olegas VASILECAS (Vilniaus Gedimino technikos universitetas, tech- nologijos mokslai, informatikos inžinerija – 07T). Konsultantas – įrašoma, jeigu buvo skirtas doc. dr. Vardas PAVARDĖ (Vilniaus Gedimino technikos universitetas, technologijos mokslai, elektros ir elektronikos inžinerija – 01T). Abstract Modelling of -
Modeling, Specification Languages, Array Programs
Chapter 4 Modeling, Specification Languages, Array Programs This chapter presents some techniques for verifying programs with complex data structures. Typical examples of such data structures are arrays and lists. The main ingredient is to provide extensions to the language of expressions and formulas, under the form of an expressive specification language. Section 4.1 presents generalities about specification languages, while other sections present an overview of the constructs for modeling and specifying as they are available in the Why3 tool [7]. Finally, Section 4.6 is dedicated to the modeling and the proof of programs on the array data structure. 4.1 Generalities on Specification Languages There have been a lot of variants of specification languages proposed in the past. Various classes of such languages are characterized by the kind of logic that they are based on. Algebraic Specifications This class of languages is characterized by the use of multi-sorted first-order logic with equality, and usually the use of rewriting techniques [13], which permits to mix executable- style and declarative-style specifications. Famous languages and tools of this class are Larch [17], KIV [26], CASL (Common Algebraic Specification Language) [2], OBJ [16], Maude [10]. Set-theory based approaches Another class of languages is based on classical Set theory. These languages are not typed, the typing properties being instead encoded by formulas on sets. Reasoning on such languages is also typically done by rewriting techniques. A precursor of this class is the Z notation [27]. It is used in tools like VDM [18], Atelier B [1], etc. Higher-Order Logic Higher-Order Logic is characterized by the use of mathematical functions as objects of the language. -
A Formal Methodology for Deriving Purely Functional Programs from Z Specifications Via the Intermediate Specification Language Funz
Louisiana State University LSU Digital Commons LSU Historical Dissertations and Theses Graduate School 1995 A Formal Methodology for Deriving Purely Functional Programs From Z Specifications via the Intermediate Specification Language FunZ. Linda Bostwick Sherrell Louisiana State University and Agricultural & Mechanical College Follow this and additional works at: https://digitalcommons.lsu.edu/gradschool_disstheses Recommended Citation Sherrell, Linda Bostwick, "A Formal Methodology for Deriving Purely Functional Programs From Z Specifications via the Intermediate Specification Language FunZ." (1995). LSU Historical Dissertations and Theses. 5981. https://digitalcommons.lsu.edu/gradschool_disstheses/5981 This Dissertation is brought to you for free and open access by the Graduate School at LSU Digital Commons. It has been accepted for inclusion in LSU Historical Dissertations and Theses by an authorized administrator of LSU Digital Commons. For more information, please contact [email protected]. INFORMATION TO USERS This manuscript has been reproduced from the microfilm master. UMI films the text directly from the original or copy submitted. Thus, some thesis and dissertation copies are in typewriter face, while others may be from any type of computer printer. H ie quality of this reproduction is dependent upon the quality of the copy submitted. Broken or indistinct print, colored or poor quality illustrations and photographs, print bleedthrough, substandardm argins, and improper alignment can adversely affect reproduction. In the unlikely, event that the author did not send UMI a complete manuscript and there are missing pages, these will be noted. Also, if unauthorized copyright material had to be removed, a note will indicate the deletion. Oversize materials (e.g., maps, drawings, charts) are reproduced by sectioning the original, beginning at the upper left-hand comer and continuing from left to right in equal sections with small overlaps. -
Application Software Prototyping and Fourth Generation Languages
NATL INST OF STANDARDS & TECH R.I.C. Computer Science A1 11 02661 975 Fisher, Gary E/Application software prot and Technology QC100 .U57 NO.500-148 1987 V19 C.I NBS-P PUBLICATIONS NBS Special Publication 500-148 Application Software Prototyping and Fourth Generation Languages Gary E. Fisher 1987 Tm he National Bureau of Standards' was established by an act of Congress on March 3, 1901. The Bureau's overall goal is to strengthen and advance the nation's science and technology and facilitate their effective application for public benefit. To this end, the Bureau conducts research to assure international competitiveness and leadership of U.S. industry, science arid technology. NBS work involves development and transfer of measurements, standards and related science and technology, in support of continually improving U.S. productivity, product quality and reliability, innovation and underlying science and engineering. The Bureau's technical work is performed by the National Measurement Laboratory, the National Engineering Laboratory, the Institute for Computer Sciences and Technology, and the Institute for Materials Science and Engineering. The National Measurement Laboratory Provides the national system of physical and chemical measurement; • Basic Standards^ coordinates the system with measurement systems of other nations and • Radiation Research furnishes essential services leading to accurate and uniform physical and • Chemical Physics chemical measurement throughout the Nation's scientific community, • Analytical Chemistry industry, -
HDL and Programming Languages ■ 6 Languages ■ 6.1 Analogue Circuit Design ■ 6.2 Digital Circuit Design ■ 6.3 Printed Circuit Board Design ■ 7 See Also
Hardware description language - Wikipedia, the free encyclopedia 페이지 1 / 11 Hardware description language From Wikipedia, the free encyclopedia In electronics, a hardware description language or HDL is any language from a class of computer languages, specification languages, or modeling languages for formal description and design of electronic circuits, and most-commonly, digital logic. It can describe the circuit's operation, its design and organization, and tests to verify its operation by means of simulation.[citation needed] HDLs are standard text-based expressions of the spatial and temporal structure and behaviour of electronic systems. Like concurrent programming languages, HDL syntax and semantics includes explicit notations for expressing concurrency. However, in contrast to most software programming languages, HDLs also include an explicit notion of time, which is a primary attribute of hardware. Languages whose only characteristic is to express circuit connectivity between a hierarchy of blocks are properly classified as netlist languages used on electric computer-aided design (CAD). HDLs are used to write executable specifications of some piece of hardware. A simulation program, designed to implement the underlying semantics of the language statements, coupled with simulating the progress of time, provides the hardware designer with the ability to model a piece of hardware before it is created physically. It is this executability that gives HDLs the illusion of being programming languages, when they are more-precisely classed as specification languages or modeling languages. Simulators capable of supporting discrete-event (digital) and continuous-time (analog) modeling exist, and HDLs targeted for each are available. It is certainly possible to represent hardware semantics using traditional programming languages such as C++, although to function such programs must be augmented with extensive and unwieldy class libraries.