A new practicum in compiler construction

Chakraborty, Pinaki; Saxena, P. C.; Katti, C. P.; Pahwa, Gauri; Taneja, Shweta

doi:10.1002/cae.20566

Cited by 7 publications

(3 citation statements)

References 44 publications

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“…DJ implemented the CPU simulator, GK implemented the assembler and PC implemented the compiler. This exercise is a part of our endeavor in improving courses on compiler construction and related fields [12,13].…”

Section: Discussionmentioning

confidence: 87%

An exercise on hardware/software codesign following the RISC model

Joseph

Kaur

Chakraborty

2015

Comp Applic In Engineering

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This paper presents an exercise to demonstrate the benefits of hardware/software codesign. A RISC processor and a high-level language have been designed together to make best use of the features of one another. A CPU simulator, an assembler and a compiler have been implemented based on the design. The exercise is suitable for students of computer engineering and electronics engineering students nearing their graduation. ß 2015 Wiley Periodicals, Inc. Comput Appl Eng Educ 24:305-312, 2016; View this article online at wileyonlinelibrary. com/journal/cae;

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Section: Discussionmentioning

confidence: 87%

An exercise on hardware/software codesign following the RISC model

Joseph

Kaur

Chakraborty

2015

Comp Applic In Engineering

Self Cite

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“…The field of program compilers is closely related to other disciplines, including computer architecture and organization, programming languages, formal languages and automation theory, computing theory, software engineering, and computer security. While there are many practicums on compilers, each of them can be classified into three groups based on the source language type [5]. Source language can be a conventional programming language, an object‐oriented language, or a domain‐specific language.…”

Section: Introductionmentioning

confidence: 99%

ComVIS—Interactive simulation environment for compiler learning

Jovanović

Stamenković

Miljković

et al. 2021

Comput Appl Eng Educ

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Simulation‐based learning tools have become commonly used at all levels of education. They are recognized as an effective means of studying complex and abstract systems. In traditional teaching of compiler concepts, students are incapable of visualizing theoretical constructions, while the use of simulation systems represents an excellent blend of theoretical and practical experience. This paper describes a software system for visualization and simulation of basic compiler concepts and algorithms. The simulation tool enables students to visualize the operation of finite automata, convert a regular expression into deterministic finite automata (DFA) or nondeterministic finite automata, and simulate Thompson's construction algorithm. The process of constructing the LL(0) and LR(1) parsing tables is represented as a step‐by‐step simulation, with the user receives feedback on the correctness of each step before moving on to the next. The system is capable of calculating the FIRST and FOLLOW sets, graphically representing DFA, and constructing the corresponding parsing table. This tool provides a module for visualizing the process of machine code generation.

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“…Teachers often complement theory with problem‐solving exercises and examples for more accessible content . The preparation of individual classroom materials, a tedious process limited to a few representative cases, has largely been superseded by the range of on‐line exercises currently available.…”

Section: Introductionmentioning

confidence: 99%

Seshat — a web‐based educational resource for teaching the most common algorithms of lexical analysis

Arnaiz‐González

Díez-Pastor

Ramos‐Pérez

et al. 2018

Comp Applic In Engineering

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The theoretical background to automata and formal languages represents a complex learning area for students. Computer tools for interacting with the algorithm and interfaces to visualize its different steps can assist the learning process and make it more attractive. In this paper, we present a web application for learning some of the most common algorithms in an appealing way. They are specifically linked to the recognition of regular languages that are, taught in classes on both automata theory and compiler design. Although several simulators are available to students, they usually only serve to validate grammars, automata, and languages, rather than helping students to learn the internal processes that an algorithm can perform. The resource presented here can execute and display each algorithm process, step by step, providing explanations on each step that assist student comprehension. Additionally, as a web‐based resource, it can be used on any device with no need for specific software installation.

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A new practicum in compiler construction

Cited by 7 publications

References 44 publications

An exercise on hardware/software codesign following the RISC model

An exercise on hardware/software codesign following the RISC model

ComVIS—Interactive simulation environment for compiler learning

Seshat — a web‐based educational resource for teaching the most common algorithms of lexical analysis

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