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Programming Paradigms & Object-Oriented
4.3 (Programming Paradigms & Object-Oriented- Computer Science 9608 Programming) with Majid Tahir Syllabus Content: 4.3.1 Programming paradigms Show understanding of what is meant by a programming paradigm Show understanding of the characteristics of a number of programming paradigms (low- level, imperative (procedural), object-oriented, declarative) – low-level programming Demonstrate an ability to write low-level code that uses various address modes: o immediate, direct, indirect, indexed and relative (see Section 1.4.3 and Section 3.6.2) o imperative programming- see details in Section 2.3 (procedural programming) Object-oriented programming (OOP) o demonstrate an ability to solve a problem by designing appropriate classes o demonstrate an ability to write code that demonstrates the use of classes, inheritance, polymorphism and containment (aggregation) declarative programming o demonstrate an ability to solve a problem by writing appropriate facts and rules based on supplied information o demonstrate an ability to write code that can satisfy a goal using facts and rules Programming paradigms 1 4.3 (Programming Paradigms & Object-Oriented- Computer Science 9608 Programming) with Majid Tahir Programming paradigm: A programming paradigm is a set of programming concepts and is a fundamental style of programming. Each paradigm will support a different way of thinking and problem solving. Paradigms are supported by programming language features. Some programming languages support more than one paradigm. There are many different paradigms, not all mutually exclusive. Here are just a few different paradigms. Low-level programming paradigm The features of Low-level programming languages give us the ability to manipulate the contents of memory addresses and registers directly and exploit the architecture of a given processor. -
A Feature Model of Actor, Agent, Functional, Object, and Procedural Programming Languages
Accepted Manuscript A feature model of actor, agent, functional, object, and procedural programming languages H.R. Jordan, G. Botterweck, J.H. Noll, A. Butterfield, R.W. Collier PII: S0167-6423(14)00050-1 DOI: 10.1016/j.scico.2014.02.009 Reference: SCICO 1711 To appear in: Science of Computer Programming Received date: 9 March 2013 Revised date: 31 January 2014 Accepted date: 5 February 2014 Please cite this article in press as: H.R. Jordan et al., A feature model of actor, agent, functional, object, and procedural programming languages, Science of Computer Programming (2014), http://dx.doi.org/10.1016/j.scico.2014.02.009 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Highlights • A survey of existing programming language comparisons and comparison techniques. • Definitions of actor, agent, functional, object, and procedural programming concepts. • A feature model of general-purpose programming languages. • Mappings from five languages (C, Erlang, Haskell, Jason, and Java) to this model. A Feature Model of Actor, Agent, Functional, Object, and Procedural Programming Languages H.R. Jordana,∗, G. Botterwecka, J.H. Nolla, A. Butterfieldb, R.W. Collierc aLero, University of Limerick, Ireland bTrinity College Dublin, Dublin 2, Ireland cUniversity College Dublin, Belfield, Dublin 4, Ireland Abstract The number of programming languages is large [1] and steadily increasing [2]. -
The Machine That Builds Itself: How the Strengths of Lisp Family
Khomtchouk et al. OPINION NOTE The Machine that Builds Itself: How the Strengths of Lisp Family Languages Facilitate Building Complex and Flexible Bioinformatic Models Bohdan B. Khomtchouk1*, Edmund Weitz2 and Claes Wahlestedt1 *Correspondence: [email protected] Abstract 1Center for Therapeutic Innovation and Department of We address the need for expanding the presence of the Lisp family of Psychiatry and Behavioral programming languages in bioinformatics and computational biology research. Sciences, University of Miami Languages of this family, like Common Lisp, Scheme, or Clojure, facilitate the Miller School of Medicine, 1120 NW 14th ST, Miami, FL, USA creation of powerful and flexible software models that are required for complex 33136 and rapidly evolving domains like biology. We will point out several important key Full list of author information is features that distinguish languages of the Lisp family from other programming available at the end of the article languages and we will explain how these features can aid researchers in becoming more productive and creating better code. We will also show how these features make these languages ideal tools for artificial intelligence and machine learning applications. We will specifically stress the advantages of domain-specific languages (DSL): languages which are specialized to a particular area and thus not only facilitate easier research problem formulation, but also aid in the establishment of standards and best programming practices as applied to the specific research field at hand. DSLs are particularly easy to build in Common Lisp, the most comprehensive Lisp dialect, which is commonly referred to as the “programmable programming language.” We are convinced that Lisp grants programmers unprecedented power to build increasingly sophisticated artificial intelligence systems that may ultimately transform machine learning and AI research in bioinformatics and computational biology. -
Design of Instructional Modeling Language for Learning Objects and Learning Objects╎ Repositories
University of Northern Colorado Scholarship & Creative Works @ Digital UNC Dissertations Student Research 8-2019 Design of Instructional Modeling Language for Learning Objects and Learning Objects’ Repositories Altaf Siddiqui Follow this and additional works at: https://digscholarship.unco.edu/dissertations Recommended Citation Siddiqui, Altaf, "Design of Instructional Modeling Language for Learning Objects and Learning Objects’ Repositories" (2019). Dissertations. 588. https://digscholarship.unco.edu/dissertations/588 This Text is brought to you for free and open access by the Student Research at Scholarship & Creative Works @ Digital UNC. It has been accepted for inclusion in Dissertations by an authorized administrator of Scholarship & Creative Works @ Digital UNC. For more information, please contact [email protected]. ©2019 ALTAF SIDDIQUI ALL RIGHTS RESERVED UNIVERSITY OF NORTHERN COLORADO Greeley, Colorado The Graduate School DESIGN OF INSTRUCTIONAL MODELING LANGUAGE FOR LEARNING OBJECTS AND LEARNING OBJECTS’ REPOSITORIES A Capstone Submitted in Partial Fulfillment of the Requirements of the Degree of Doctor of Philosophy Altaf Siddiqui College of Education and Behavioral Sciences Department of Educational Technology August 2019 This Capstone by: Altaf Siddiqui Entitled: Design of Instructional Modeling Language for Learning Objects and Learning Objects Repositories has been approved as meeting the requirement for the Degree of Doctor of Audiology in College of Education and Behavioral Sciences in Department of Educational Technology -
Integration Definition for Function Modeling (IDEF0)
NIST U.S. DEPARTMENT OF COMMERCE PUBLICATIONS £ Technology Administration National Institute of Standards and Technology FIPS PUB 183 FEDERAL INFORMATION PROCESSING STANDARDS PUBLICATION INTEGRATION DEFINITION FOR FUNCTION MODELING (IDEFO) » Category: Software Standard SUBCATEGORY: MODELING TECHNIQUES 1993 December 21 183 PUB FIPS JK- 45C .AS A3 //I S3 IS 93 FIPS PUB 183 FEDERAL INFORMATION PROCESSING STANDARDS PUBLICATION INTEGRATION DEFINITION FOR FUNCTION MODELING (IDEFO) Category: Software Standard Subcategory: Modeling Techniques Computer Systems Laboratory National Institute of Standards and Technology Gaithersburg, MD 20899 Issued December 21, 1993 U.S. Department of Commerce Ronald H. Brown, Secretary Technology Administration Mary L. Good, Under Secretary for Technology National Institute of Standards and Technology Arati Prabhakar, Director Foreword The Federal Information Processing Standards Publication Series of the National Institute of Standards and Technology (NIST) is the official publication relating to standards and guidelines adopted and promulgated under the provisions of Section 111 (d) of the Federal Property and Administrative Services Act of 1949 as amended by the Computer Security Act of 1987, Public Law 100-235. These mandates have given the Secretary of Commerce and NIST important responsibilities for improving the utilization and management of computer and related telecommunications systems in the Federal Government. The NIST, through its Computer Systems Laboratory, provides leadership, technical guidance, -
A Formal Component-Based Software Engineering Approach for Developing Trustworthy Systems
A FORMAL COMPONENT-BASED SOFTWARE ENGINEERING APPROACH FOR DEVELOPING TRUSTWORTHY SYSTEMS MUBARAK SAMI MOHAMMAD A THESIS IN THE DEPARTMENT OF COMPUTER SCIENCE AND SOFTWARE ENGINEERING PRESENTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY (COMPUTER SCIENCE) CONCORDIA UNIVERSITY MONTREAL´ ,QUEBEC´ ,CANADA APRIL 2009 °c MUBARAK SAMI MOHAMMAD, 2009 CONCORDIA UNIVERSITY School of Graduate Studies This is to certify that the thesis prepared By: Mr. Mubarak Sami Mohammad Entitled: A Formal Component-Based Software Engineering Approach for Developing Trustworthy Systems and submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Computer Science) (Computer Science) complies with the regulations of this University and meets the accepted standards with re- spect to originality and quality. Signed by the final examining committee: Chair Dr. External Examiner Dr. Nicholas Graham External to Program Dr. Jamal Bentahar Examiner Dr. Joey Paquet Examiner Dr. Juergen Rilling Supervisor Dr. Vasu Alagar Co-supervisor Dr. Olga Ormandjieva Approved Chair of Department or Graduate Program Director 20 Dr. Robin A.L. Drew, Dean Faculty of Engineering and Computer Science Abstract A Formal Component-Based Software Engineering Approach for Developing Trustworthy Systems Mubarak Sami Mohammad, Ph.D. Concordia University, 2009 Software systems are increasingly becoming ubiquitous, affecting the way we experience the world. Embedded software systems, especially those used in smart devices, have be- come an essential constituent of the technological infrastructure of modern societies. Such systems, in order to be trusted in society, must be proved to be trustworthy. Trustworthiness is a composite non-functional property that implies safety, timeliness, security, availability, and reliability. -
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 . -
Design and Implementation of the L+C Modeling Language
Design and implementation of the L+C modeling language Radoslaw Karwowski and Przemyslaw Prusinkiewicz Department of Computer Science University of Calgary Abstract L-systems are parallel grammars that provide a theoretical foundation for a class of programs used in procedural image synthesis and simulation of plant development. In particular, the formalism of L-systems guides the construction of declarative languages for specifying input to these programs. We outline key factors that have motivated the development of L-system- based languages in the past, and introduce a new language, L+C, that addresses the shortcom- ings of its predecessors. We also describe the implementation of L+C, in which an existing language, C++, was extended with constructs specific to L-systems. This implementation methodology made it possible to develop a powerful modeling system in a relatively short pe- riod of time. 1. Background L-systems were conceived as a rule-based formalism for reasoning on developing multicellular organisms that form linear or branching filaments [Lindenmayer, 1968]. Soon after their introduction, L-systems also began to be used as a foundation of visual modeling and simulation programs, and computer languages for specifying the models [Baker and Herman, 1972]. Subsequently they also found applications in the generation of fractals [Szilard and Quinton, 1979; Prusinkiewicz, 1986] and geometric modeling [Prusinkiewicz et al., 2003]. A common factor uniting these diverse applications is the treatment of structure and form as a result of development. A historical perspective of the L-system-based software and its practical applications is presented in [Prusinkiewicz, 1997]. According to the L-system approach, a developing structure is represented by a string of symbols over a predefined alphabet V. -
Programming Languages
Lecture 19 / Chapter 13 COSC1300/ITSC 1401/BCIS 1405 12/5/2004 Lecture 19 / Chapter 13 COSC1300/ITSC 1401/BCIS 1405 12/5/2004 General Items: Computer Program • Lab? Ok? • Read the extra credits • A series of instructions that direct a computer to perform tasks • Need to come to class • Such as? Who is the programmer? • Have a quiz / no books / use notes -> What is the big idea • School is almost over • Programming language is a series of rules for writing the instructions • • There are hundreds of computer programs – need-based! Reading Materials: Programming language • - Two basic types: Low- and high-level programming languages Miscellaneous: o Low-level: Programming language that is machine-dependent ° Must be run on specific machines o High-level: Language that is machine-independent ° Can be run on different types of machines Programming Language Low Level High Level Machine Assembly Language Language Procedural Nonprocedural Remember: Ultimately, everything must be converted to the machine language! Object Oriented F.Farahmand 1 / 12 File: lec14chap13f04.doc F.Farahmand 2 / 12 File: lec14chap13f04.doc Lecture 19 / Chapter 13 COSC1300/ITSC 1401/BCIS 1405 12/5/2004 Lecture 19 / Chapter 13 COSC1300/ITSC 1401/BCIS 1405 12/5/2004 Categories of programming languages o Nonprocedural language -> Programmer specifies only what the - Machine language program should accomplish; it does not explain how o Only language computer understands directly - Forth-generation language - Assembly language o Syntax is closer to human language than that -
On the Analysis of Cmmn Expressiveness: Revisiting Workflow Patterns
' $ ON THE ANALYSIS OF CMMN EXPRESSIVENESS: REVISITING WORKFLOW PATTERNS Renata Carvalho 1, Anis Boubaker 1, Javier Gonzalez-Huerta 1, Hafedh Mili 1, Simon Ringuette 2, and Yasmine Charif 3 Mars 2016 D´epartement d'informatique Universit´edu Qu´ebec `aMontr´eal Rapport de recherche Latece 2016-1 & % ON THE ANALYSIS OF CMMN EXPRESSIVENESS: REVISITING WORKFLOW PATTERNS Renata Carvalho 1, Anis Boubaker 1, Javier Gonzalez- Huerta 1, Hafedh Mili 1, Simon Ringuette 2, and Yasmine Charif 3 1 D´epartement d'informatique UQAM Montr´eal,Qc, Canada 2 Trisotech Inc. Montr´eal,Qc, Canada 3 Xerox Innovation Group Xerox Research Center Webster Mailstop 128-29E Laboratoire de recherche sur les technologies du commerce ´electronique D´epartement d'informatique Universit´edu Qu´ebec `aMontr´eal C.P. 8888, Succ. Centre-Ville Montr´eal,QC, Canada H3C 3P8 http://www.latece.uqam.ca Mars 2016 Rapport de recherche Latece 2016-1 Summary Traditional business process modeling languages use an imperative style to specify all possible execution flows, leaving little flexibility to process operators. Such lan- guages are appropriate for low-complexity, high-volume, mostly automated processes. However, they are inadequate for case management, which involves low-volume, high- complexity, knowledge-intensive work processes of today's knowledge workers. OMG's Case Management Model and Notation(CMMN), which uses a declarative stytle to specify constraints placed at a process execution, aims at addressing this need. To the extent that typical case management situations do include at least some measure of imperative control, it is legitimate to ask whether an analyst working exclusively in CMMN can comfortably model the range of behaviors s/he is likely to encounter. -
System Model-Based Definition of Modeling Language Semantics In: Proc
System Model-Based Definition of Modeling Language Semantics Hans Gr¨onniger, Jan Oliver Ringert, and Bernhard Rumpe Lehrstuhl Informatik 3 (Softwaretechnik), RWTH Aachen, Germany Abstract. In this paper, we present an approach to define the seman- tics for object-oriented modeling languages. One important property of this semantics is to support underspecified and incomplete models. To this end, semantics is given as predicates over elements of the seman- tic domain. This domain is called the system model which is a general declarative characterization of object systems. The system model is very detailed since it captures various relevant structural, behavioral, and in- teraction aspects. This allows us to re-use the system model as a domain for various kinds of object-oriented modeling languages. As a major con- sequence, the integration of language semantics is straight-forward. The whole approach is supported by tools that do not constrain the seman- tics definition’s expressiveness and flexibility while making it machine- checkable. 1 Introduction Modeling is an integral part of complex software system development projects. The purpose of models ranges from assisting developers and customers commu- nicate to test case generation or (automatic) derivation of the developed system. A prominent example modeling language is UML [1]. Actually, it is a family of languages used to model various aspects of a software system. While UML is widely used, domain specific modeling languages emerged recently that allow developers and even customers to express solutions to well-defined problems in aconciseway. A complete definition of a modeling language consists of the description of its syntax, including well-formedness rules and its semantics (meaning) [2]. -
System Structure Modeling Language (S2ML) Michel Batteux, Tatiana Prosvirnova, Antoine Rauzy
System Structure Modeling Language (S2ML) Michel Batteux, Tatiana Prosvirnova, Antoine Rauzy To cite this version: Michel Batteux, Tatiana Prosvirnova, Antoine Rauzy. System Structure Modeling Language (S2ML). 2015. hal-01234903 HAL Id: hal-01234903 https://hal.archives-ouvertes.fr/hal-01234903 Preprint submitted on 1 Dec 2015 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. System Structure Modeling Language (S2ML) Language Specification Version 1.0 November 2015 Abstract: This document defines the S2ML language, version 1.0. S2ML is developed in the framework of the OpenAltaRica project, leaded by IRT SystemX, Palaiseau, France. S2ML is a freely available, prototype-oriented language for both representing the structure complex systems and structuring models of these systems. It aims at providing a minimal but sufficient set of constructs for these purposes. S2ML 1.0 Specification 2 Copyright © AltaRica Association, 2015 All rights reserved. Reproduction or use of editorial or pictorial content is permitted, i.e. this document can be freely distributed especially electronically, provided the copyright notice and these conditions are retained. No patent liability is assumed with respect to the use of information contained herein. While every precaution has been taken in the preparation of this document, no responsibility for errors or omissions is assumed.