GithubHelp home page GithubHelp logo

amit25bhalerao / system-software-laboratory Goto Github PK

View Code? Open in Web Editor NEW
0.0 2.0 0.0 586 KB

System Software Laboratory Programs

Lex 10.28% Yacc 8.24% C 27.14% Java 54.34%
c java lex 18csl66 vtulab vtulabsolutions yaac

system-software-laboratory's Introduction

System Software Laboratory Programs

This repository contains a collection of programs developed for the System Software Laboratory course. The programs are written in languages like C, C++, and Java, and they cover various topics related to system software and programming languages.

Table of Contents

  1. Program 1: Recognize and Evaluate Arithmetic Expression
  2. Program 2: Strings Ending With 'b' Preceded By n 'a’s'
  3. Program 3: Parsing Table for Grammar Rules
  4. Program 4: Shift Reduce Parsing Technique for Grammar Rules
  5. Program 5: Generate Machine code
  6. Program 6: Eliminate Comment Lines and Recognize Valid Identifier, Operators and Keywords
  7. Program 7: Shortest Remaining Time and Round Robin (RR) Scheduling Algorithms
  8. Program 8: Banker’s Algorithm
  9. Program 9: Page Replacement Algorithms - LRU and FIFO
Program Title of Program
Prog. 1 Recognize and Evaluate Arithmetic Expression
Prog. 2 Strings Ending With 'b' Preceded By n 'a’s'
Prog. 3 Parsing Table for Grammar Rules
Prog. 4 Shift Reduce Parsing Technique for Grammar Rules
Prog. 5 Generate Machine code
Prog. 6 Eliminate Comment Lines and Recognize Valid Identifier, Operators and Keywords
Prog. 7 Shortest Remaining Time and Round Robin (RR) Scheduling Algorithms
Prog. 8 Banker’s Algorithm
Prog. 9 Page Replacement Algorithms - LRU and FIFO

Purpose

The purpose of this repository is to provide practical implementation of concepts covered in the System Software Laboratory course. These programs are designed to enhance the understanding of system software components, programming language constructs, and algorithms used in system-level operations.

Usage

Each program in this repository can be accessed individually. You can clone or download the repository to your local machine and execute the programs using the respective programming language compilers or interpreters.

Contribution

Contributions to this repository are welcome. If you have any improvements or additional programs related to system software or programming languages, feel free to create a pull request. Please ensure that your contributions adhere to the guidelines and coding standards of the repository.

License and Disclaimer

The programs in this repository are provided under the MIT License. However, please note that while the programs have been tested, they are provided as-is, without any warranty. The repository owner and contributors will not be liable for any damages or losses arising from the use of these programs.

It is recommended to use these programs for learning purposes and to verify their functionality in a controlled environment before applying them to critical systems or production environments.

system-software-laboratory's People

Contributors

amit25bhalerao avatar

Watchers

 avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.