Visual Programming Language for Tacit Subset of J Programming Language

Total Page:16

File Type:pdf, Size:1020Kb

Visual Programming Language for Tacit Subset of J Programming Language Visual Programming Language for Tacit Subset of J Programming Language Nouman Tariq Dissertation 2013 Erasmus Mundus MSc in Dependable Software Systems Department of Computer Science National University of Ireland, Maynooth Co. Kildare, Ireland A dissertation submitted in partial fulfilment of the requirements for the Erasmus Mundus MSc Dependable Software Systems Head of Department : Dr Adam Winstanley Supervisor : Professor Ronan Reilly June 30, 2013 Declaration I hereby certify that this material, which I now submit for assessment on the program of study leading to the award of Master of Science in Dependable Software Systems, is entirely my own work and has not been taken from the work of others save and to the extent that such work has been cited and acknowledged within the text of my work. Signed:___________________________ Date:___________________________ Abstract Visual programming is the idea of using graphical icons to create programs. I take a look at available solutions and challenges facing visual languages. Keeping these challenges in mind, I measure the suitability of Blockly and highlight the advantages of using Blockly for creating a visual programming environment for the J programming language. Blockly is an open source general purpose visual programming language designed by Google which provides a wide range of features and is meant to be customized to the user’s needs. I also discuss features of the J programming language that make it suitable for use in visual programming language. The result is a visual programming environment for the tacit subset of the J programming language. Table of Contents Introduction ............................................................................................................................................ 7 Problem Statement ............................................................................................................................. 7 Motivation........................................................................................................................................... 7 Aims and Objectives ............................................................................................................................ 8 Related Work ........................................................................................................................................ 10 Tools and Technologies Used ............................................................................................................ 10 J Programming Language .............................................................................................................. 10 Blockly ........................................................................................................................................... 10 JavaScript ...................................................................................................................................... 11 Visual Programming .......................................................................................................................... 12 Diagrams ....................................................................................................................................... 12 Flowcharts ..................................................................................................................................... 12 Data Flow Diagrams ...................................................................................................................... 12 A Brief History of Visual Programming ............................................................................................. 13 HI-VISUAL ...................................................................................................................................... 13 Visual Logic Programming ............................................................................................................. 14 VLCC .............................................................................................................................................. 15 VisaVis ........................................................................................................................................... 15 Solution ................................................................................................................................................. 16 J Programming Language .................................................................................................................. 16 Background ................................................................................................................................... 16 Array Based Programming in J ...................................................................................................... 17 Structure of J ................................................................................................................................. 17 Nouns ............................................................................................................................................ 17 Verbs ............................................................................................................................................. 18 Adverbs ......................................................................................................................................... 19 Conjunctions ................................................................................................................................. 19 Order of Evaluation ....................................................................................................................... 19 Tacit Programming in J .................................................................................................................. 20 Blockly ............................................................................................................................................... 21 Language Philosophy .................................................................................................................... 21 String and Array Indexes ............................................................................................................... 21 Variable Names ............................................................................................................................. 21 High Level Blocks ........................................................................................................................... 22 Language Dependence .................................................................................................................. 22 Blocks ............................................................................................................................................ 22 Defining Blocks .............................................................................................................................. 23 Defining Block Inputs .................................................................................................................... 27 A Visual Language Based on Blockly ..................................................................................................... 31 Block for Verbs .................................................................................................................................. 31 The Monad Block .......................................................................................................................... 32 The Dyad Block .............................................................................................................................. 32 Blocks for Adverbs ............................................................................................................................ 33 Block for Conjunctions ...................................................................................................................... 34 Code Generation ............................................................................................................................... 34 Code Generation for Monads ....................................................................................................... 35 Code Generation for Dyads ........................................................................................................... 35 Code Generation for Conjunctions ............................................................................................... 35 Evaluation ............................................................................................................................................. 36 Textual Complexity Metrics .............................................................................................................. 36 Character Count ............................................................................................................................ 36 Lines of Codes ............................................................................................................................... 36 Conditional Statements ................................................................................................................ 36 Halstead ........................................................................................................................................ 37 Visual J ..............................................................................................................................................
Recommended publications
  • PL/SQL Multi-Diagrammatic Source Code Visualization
    SQLFlow: PL/SQL Multi-Diagrammatic Source Code Visualization Samir Tartir Ayman Issa Department of Computer Science University of the West of England (UWE), University of Georgia Coldharbour Lane, Frenchay, Bristol BS16 1QY Athens, Georgia 30602 United Kingdom USA Email: [email protected] Email: [email protected] ABSTRACT: A major problem in software introducing new problems to other code that was perfectly maintenance is the lack of a well-documented source code working before. Therefore, educating programmers about in software applications. This has led to serious the behaviors of the target code before start modifying it difficulties in software maintenance and evolution. In is not an easy task. Source code visualization is one of the particular, for those developers who are faced with the heavily used techniques in the literature to overcome this task of fixing or modifying a piece of code they never lack of documentation problem, and its consequent even knew existed before. Database triggers and knowledge-sharing problem [7, 9]. procedures are parts of almost every application, are typical examples of badly documented software Therefore, this research aims at investigating the current components being the hidden back end of software database source code visualization tools and identifying applications. Source code visualization is one of the the main open issues for research. Consequently, the heavily used techniques in the literature so as to mostly used PL/SQL database programming language has familiarize software developers with new source code, been selected for a flowcharting reverse engineering and compensate for the knowledge-sharing problem. prototype tool called "SQLFlow". SQLFlow has been Therefore, a new PL/SQL flowcharting reverse designed, implemented, and tested to parse the target engineering tool, SQLFlow, has been designed and PL/SQL code stored in database procedures, analyze its developed.
    [Show full text]
  • Javascript and the DOM
    Javascript and the DOM 1 Introduzione alla programmazione web – Marco Ronchetti 2020 – Università di Trento The web architecture with smart browser The web programmer also writes Programs which run on the browser. Which language? Javascript! HTTP Get + params File System Smart browser Server httpd Cgi-bin Internet Query SQL Client process DB Data Evolution 3: execute code also on client! (How ?) Javascript and the DOM 1- Adding dynamic behaviour to HTML 3 Introduzione alla programmazione web – Marco Ronchetti 2020 – Università di Trento Example 1: onmouseover, onmouseout <!DOCTYPE html> <html> <head> <title>Dynamic behaviour</title> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> </head> <body> <div onmouseover="this.style.color = 'red'" onmouseout="this.style.color = 'green'"> I can change my colour!</div> </body> </html> JAVASCRIPT The dynamic behaviour is on the client side! (The file can be loaded locally) <body> <div Example 2: onmouseover, onmouseout onmouseover="this.style.background='orange'; this.style.color = 'blue';" onmouseout=" this.innerText='and my text and position too!'; this.style.position='absolute'; this.style.left='100px’; this.style.top='150px'; this.style.borderStyle='ridge'; this.style.borderColor='blue'; this.style.fontSize='24pt';"> I can change my colour... </div> </body > JavaScript is event-based UiEvents: These event objects iherits the properties of the UiEvent: • The FocusEvent • The InputEvent • The KeyboardEvent • The MouseEvent • The TouchEvent • The WheelEvent See https://www.w3schools.com/jsref/obj_uievent.asp Test and Gym JAVASCRIPT HTML HEAD HTML BODY CSS https://www.jdoodle.com/html-css-javascript-online-editor/ Javascript and the DOM 2- Introduction to the language 8 Introduzione alla programmazione web – Marco Ronchetti 2020 – Università di Trento JavaScript History • JavaScript was born as Mocha, then “LiveScript” at the beginning of the 94’s.
    [Show full text]
  • An Array-Oriented Language with Static Rank Polymorphism
    An array-oriented language with static rank polymorphism Justin Slepak, Olin Shivers, and Panagiotis Manolios Northeastern University fjrslepak,shivers,[email protected] Abstract. The array-computational model pioneered by Iverson's lan- guages APL and J offers a simple and expressive solution to the \von Neumann bottleneck." It includes a form of rank, or dimensional, poly- morphism, which renders much of a program's control structure im- plicit by lifting base operators to higher-dimensional array structures. We present the first formal semantics for this model, along with the first static type system that captures the full power of the core language. The formal dynamic semantics of our core language, Remora, illuminates several of the murkier corners of the model. This allows us to resolve some of the model's ad hoc elements in more general, regular ways. Among these, we can generalise the model from SIMD to MIMD computations, by extending the semantics to permit functions to be lifted to higher- dimensional arrays in the same way as their arguments. Our static semantics, a dependent type system of carefully restricted power, is capable of describing array computations whose dimensions cannot be determined statically. The type-checking problem is decidable and the type system is accompanied by the usual soundness theorems. Our type system's principal contribution is that it serves to extract the implicit control structure that provides so much of the language's expres- sive power, making this structure explicitly apparent at compile time. 1 The Promise of Rank Polymorphism Behind every interesting programming language is an interesting model of com- putation.
    [Show full text]
  • A Prolog-Based Proof Tool for Type Theory Taλ and Implicational Intuitionistic-Logic
    A Prolog-based Proof Tool for Type Theory TAλ and Implicational Intuitionistic-Logic L. Yohanes Stefanus University of Indonesia Depok 16424, Indonesia [email protected] and Ario Santoso∗ Technische Universit¨atDresden Dresden 01187, Germany [email protected] Abstract Studies on type theory have brought numerous important contributions to computer science. In this paper we present a GUI-based proof tool that provides assistance in constructing deductions in type theory and validating implicational intuitionistic-logic for- mulas. As such, this proof tool is a testbed for learning type theory and implicational intuitionistic-logic. This proof tool focuses on an important variant of type theory named TAλ, especially on its two core algorithms: the principal-type algorithm and the type inhabitant search algorithm. The former algorithm finds a most general type assignable to a given λ-term, while the latter finds inhabitants (closed λ-terms in β-normal form) to which a given type can be assigned. By the Curry{Howard correspondence, the latter algorithm provides provability for implicational formulas in intuitionistic logic. We elab- orate on how to implement those two algorithms declaratively in Prolog and the overall GUI-based program architecture. In our implementation, we make some modification to improve the performance of the principal-type algorithm. We have also built a web-based version of the proof tool called λ-Guru. 1 Introduction In 1902, Russell revealed the inconsistency in naive set theory. This inconsistency challenged the foundation of mathematics at that time. To solve that problem, type theory was introduced [1, 5]. As time goes on, type theory becomes widely used, it becomes a logician's standard tool, especially in proof theory.
    [Show full text]
  • MSD FATFS Users Guide
    Freescale MSD FATFS Users Guide Document Number: MSDFATFSUG Rev. 0 02/2011 How to Reach Us: Home Page: www.freescale.com E-mail: [email protected] USA/Europe or Locations Not Listed: Freescale Semiconductor Technical Information Center, CH370 1300 N. Alma School Road Chandler, Arizona 85224 +1-800-521-6274 or +1-480-768-2130 [email protected] Europe, Middle East, and Africa: Information in this document is provided solely to enable system and Freescale Halbleiter Deutschland GmbH software implementers to use Freescale Semiconductor products. There are Technical Information Center no express or implied copyright licenses granted hereunder to design or Schatzbogen 7 fabricate any integrated circuits or integrated circuits based on the 81829 Muenchen, Germany information in this document. +44 1296 380 456 (English) +46 8 52200080 (English) Freescale Semiconductor reserves the right to make changes without further +49 89 92103 559 (German) notice to any products herein. Freescale Semiconductor makes no warranty, +33 1 69 35 48 48 (French) representation or guarantee regarding the suitability of its products for any particular purpose, nor does Freescale Semiconductor assume any liability [email protected] arising out of the application or use of any product or circuit, and specifically disclaims any and all liability, including without limitation consequential or Japan: incidental damages. “Typical” parameters that may be provided in Freescale Freescale Semiconductor Japan Ltd. Semiconductor data sheets and/or specifications can and do vary in different Headquarters applications and actual performance may vary over time. All operating ARCO Tower 15F parameters, including “Typicals”, must be validated for each customer 1-8-1, Shimo-Meguro, Meguro-ku, application by customer’s technical experts.
    [Show full text]
  • The Elinks Manual the Elinks Manual Table of Contents Preface
    The ELinks Manual The ELinks Manual Table of Contents Preface.......................................................................................................................................................ix 1. Getting ELinks up and running...........................................................................................................1 1.1. Building and Installing ELinks...................................................................................................1 1.2. Requirements..............................................................................................................................1 1.3. Recommended Libraries and Programs......................................................................................1 1.4. Further reading............................................................................................................................2 1.5. Tips to obtain a very small static elinks binary...........................................................................2 1.6. ECMAScript support?!...............................................................................................................4 1.6.1. Ok, so how to get the ECMAScript support working?...................................................4 1.6.2. The ECMAScript support is buggy! Shall I blame Mozilla people?..............................6 1.6.3. Now, I would still like NJS or a new JS engine from scratch. .....................................6 1.7. Feature configuration file (features.conf).............................................................................7
    [Show full text]
  • OSLC Architecture Management Specification 3.0 Project Specification Draft 01 17 September 2020
    Standards Track Work Product OSLC Architecture Management Specification 3.0 Project Specification Draft 01 17 September 2020 This stage: https://docs.oasis-open-projects.org/oslc-op/am/v3.0/psd01/architecture-management-spec.html (Authoritative) https://docs.oasis-open-projects.org/oslc-op/am/v3.0/psd01/architecture-management-spec.pdf Previous stage: N/A Latest stage: https://docs.oasis-open-projects.org/oslc-op/am/v3.0/architecture-management-spec.html (Authoritative) https://docs.oasis-open-projects.org/oslc-op/am/v3.0/architecture-management-spec.pdf Latest version: https://open-services.net/spec/am/latest Latest editor's draft: https://open-services.net/spec/am/latest-draft Open Project: OASIS Open Services for Lifecycle Collaboration (OSLC) OP Project Chairs: Jim Amsden ([email protected]), IBM Andrii Berezovskyi ([email protected]), KTH Editor: Jim Amsden ([email protected]), IBM Additional components: This specification is one component of a Work Product that also includes: OSLC Architecture Management Version 3.0. Part 1: Specification (this document). architecture-management- spec.html OSLC Architecture Management Version 3.0. Part 2: Vocabulary. architecture-management-vocab.html OSLC Architecture Management Version 3.0. Part 3: Constraints. architecture-management-shapes.html OSLC Architecture Management Version 3.0. Machine Readable Vocabulary Terms. architecture-management- vocab.ttl OSLC Architecture Management Version 3.0. Machine Readable Constraints. architecture-management-shapes.ttl architecture-management-spec Copyright © OASIS Open 2020. All Rights Reserved. 17 September 2020 - Page 1 of 19 Standards Track Work Product Related work: This specification is related to: OSLC Architecture Management Specification Version 2.0.
    [Show full text]
  • Introduction to Javascript
    Introduction to JavaScript Lecture 6 CGS 3066 Fall 2016 October 6, 2016 JavaScript I Dynamic programming language. Program the behavior of web pages. I Client-side scripts to interact with the user. I Communicates asynchronously and alters document content. I Used with Node.js in server side scripting, game development, mobile applications, etc. I Has thousands of libraries that can be used to carry out various tasks. JavaScript is NOT Java I Names can be deceiving. I Java is a full-fledged object-oriented programming language. I Java is popular for developing large-scale distributed enterprise applications and web applications. I JavaScript is a browser-based scripting language developed by Netscape and implemented in all major browsers. I JavaScript is executed by the browsers on the client side. JavaScript and other languages JavaScript borrows the elements from a variety of languages. I Object orientation from Java. I Syntax from C. I Semantics from Self and Scheme. Whats a script? I A program written for a special runtime environment. I Interpreted (as opposed to compiled). I Used to automate tasks. I Operates at very high levels of abstraction. Whats JavaScript? I Developed at Netscape to perform client side validation. I Adopted by Microsoft in IE 3.0 (1996). I Standardized in 1996. Current standard is ECMAScript 6 (2016). I Specifications for ECMAScript 2016 are out. I CommonJS used for development outside the browser. JavaScript uses I JavaScript has an insanely large API and library. I It is possible to do almost anything with JavaScript. I Write small scripts/apps for your webpage.
    [Show full text]
  • Towards the Second Edition of ISO 24707 Common Logic
    Towards the Second Edition of ISO 24707 Common Logic Michael Gr¨uninger(with Tara Athan and Fabian Neuhaus) Miniseries on Ontologies, Rules, and Logic Programming for Reasoning and Applications January 9, 2014 Gr¨uninger ( Ontolog Forum) Common Logic (ISO 24707) January 9, 2014 1 / 20 What Is Common Logic? Common Logic (published as \ISO/IEC 24707:2007 | Information technology Common Logic : a framework for a family of logic-based languages") is a language based on first-order logic, but extending it in several ways that ease the formulation of complex ontologies that are definable in first-order logic. Gr¨uninger ( Ontolog Forum) Common Logic (ISO 24707) January 9, 2014 2 / 20 Semantics An interpretation I consists of a set URI , the universe of reference a set UDI , the universe of discourse, such that I UDI 6= ;; I UDI ⊆ URI ; a mapping intI : V ! URI ; ∗ a mapping relI from URI to subsets of UDI . Gr¨uninger ( Ontolog Forum) Common Logic (ISO 24707) January 9, 2014 3 / 20 How Is Common Logic Being Used? Open Ontology Repositories COLORE (Common Logic Ontology Repository) colore.oor.net stl.mie.utoronto.ca/colore/ontologies.html OntoHub www.ontohub.org https://github.com/ontohub/ontohub Gr¨uninger ( Ontolog Forum) Common Logic (ISO 24707) January 9, 2014 4 / 20 How Is Common Logic Being Used? Ontology-based Standards Process Specification Language (ISO 18629) Date-Time Vocabulary (OMG) Foundational UML (OMG) Semantic Web Services Framework (W3C) OntoIOp (ISO WD 17347) Gr¨uninger ( Ontolog Forum) Common Logic (ISO 24707) January 9, 2014
    [Show full text]
  • Compendium of Technical White Papers
    COMPENDIUM OF TECHNICAL WHITE PAPERS Compendium of Technical White Papers from Kx Technical Whitepaper Contents Machine Learning 1. Machine Learning in kdb+: kNN classification and pattern recognition with q ................................ 2 2. An Introduction to Neural Networks with kdb+ .......................................................................... 16 Development Insight 3. Compression in kdb+ ................................................................................................................. 36 4. Kdb+ and Websockets ............................................................................................................... 52 5. C API for kdb+ ............................................................................................................................ 76 6. Efficient Use of Adverbs ........................................................................................................... 112 Optimization Techniques 7. Multi-threading in kdb+: Performance Optimizations and Use Cases ......................................... 134 8. Kdb+ tick Profiling for Throughput Optimization ....................................................................... 152 9. Columnar Database and Query Optimization ............................................................................ 166 Solutions 10. Multi-Partitioned kdb+ Databases: An Equity Options Case Study ............................................. 192 11. Surveillance Technologies to Effectively Monitor Algo and High Frequency Trading ..................
    [Show full text]
  • LIGO Data Analysis Software Specification Issues
    LASER INTERFEROMETER GRAVITATIONAL WAVE OBSERVATORY - LIGO - CALIFORNIA INSTITUTE OF TECHNOLOGY MASSACHUSETTS INSTITUTE OF TECHNOLOGY Document Type LIGO-T970100-A - E LIGO Data Analysis Software Specification Issues James Kent Blackburn Distribution of this draft: LIGO Project This is an internal working document of the LIGO Project. California Institute of Technology Massachusetts Institute of Technology LIGO Project - MS 51-33 LIGO Project - MS 20B-145 Pasadena CA 91125 Cambridge, MA 01239 Phone (818) 395-2129 Phone (617) 253-4824 Fax (818) 304-9834 Fax (617) 253-7014 E-mail: [email protected] E-mail: [email protected] WWW: http://www.ligo.caltech.edu/ Table of Contents Index file /home/kent/Documents/framemaker/DASS.fm - printed July 22, 1997 LIGO-T970100-A-E 1.0 Introduction The subject material discussed in this document is intended to support the design and eventual implementation of the LIGO data analysis system. The document focuses on raising awareness of the issues that go into the design of a software specification. As LIGO construction approaches completion and the interferometers become operational, the data analysis system must also approach completion and become operational. Through the integration of the detector and the data analysis system, LIGO evolves from being an operational instrument to being an operational grav- itational wave detector. All aspects of software design which are critical to the specifications for the LIGO data analysis are introduced with the preface that they will be utilized in requirements for the LIGO data analysis system which drive the milestones necessary to achieve this goal. Much of the LIGO data analysis system will intersect with the LIGO diagnostics system, espe- cially in the areas of software specifications.
    [Show full text]
  • NOVEMBER 18 • WEDNESDAY Build Stuff'15 Lithuania
    Build Stuff'15 Lithuania NOVEMBER 18 • WEDNESDAY A Advanced B Beginner I Intermediate N Non­Technical 08:30 – 09:00 Registration 1. Alfa Speakers: Registration 09:00 – 09:15 Welcome talk 1. Alfa Speakers: Welcome talk 09:00 – 18:00 Open Space 6. Lobby Speakers: Open Space Sponsors: 4Finance, Devbridge, Storebrand, Visma Lietuva, WIX Lietuva 09:15 – 10:15 B Uncle Bob / Robert Martin @unclebobmartin ­ The Last Programming Language 1. Alfa Speakers: Uncle Bob / Robert Martin For the last 50 years we’ve been exploring language after language. Now many of the “new” languages are actually quite old. The latest fad is “functional programming” which got it’s roots back in the 50s. Have we come full circle? Have we explored all the different kinds of languages? Is it time for us to finally decide on a single language for all software development? In this talk Uncle Bob walks through some of the history of programming languages, and then prognosticates on the future of languages. 10:15 – 10:35 Coffee/tea break 1. Alfa Speakers: Coffee/tea break 10:35 – 11:30 I Dmytro Mindra @dmytromindra ­ Refactoring Legacy Code 5. Theta Speakers: Dmytro Mindra Every programmer has to face legacy code day after day. It might be ugly, it might look scary, it can make a grown man cry. Some will throw it away and try rewriting everything from scratch. Most of them will fail. Refactoring legacy code is a much better idea. It is not so scary when you take it in very small bites, introduce small changes, add unit tests.
    [Show full text]