Rapid Application Development in Synergy with Persistence Framework
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Testing in the Software Development Life Cycle and Its Importance
International Journal of Engineering and Information Systems (IJEAIS) ISSN: 2643-640X Vol. 3 Issue 9, September – 2019, Pages: 15-20 Testing in the Software Development Life Cycle and its Importance Noortaj Department of Computing and Technology Abasyn University Peshawar, Pakistan Email: [email protected] Abstract : Software development life cycle is a structure followed by the development team within the software organization imposed on the development of software product. The important role of testing in the software development life cycle is to improve the performance, reliability, and quality of the software. I believe testing should be thoroughly planned and conducted throughout the Software development life cycle for best results. Hence, software testing is facing different challenges. In this article, i have explained different phases of the software development life cycle, different testing techniques and its importance. Keywords: Software Development Life Cycle Testing, Testing in the Software Development Process, Software Testing, Importance of testing. 1. INTRODUCTION Testing plays an important role in the software development life-cycle to recognize the defects in the development process and resolve those defects. But before the explanation of the Software development life cycle, I would like to explain the phases of the software development process. Phase 1 Requirement collection and Analysis: For the collection of requirements a discussion is conducted to analyze the requirements and to state how the problem should be solved. The main work of the requirement collection is to determine the anticipated issues and it helps companies to finalize the necessary timeline in order to complete the work of that system in time. -
FUNDAMENTALS of COMPUTING (2019-20) COURSE CODE: 5023 502800CH (Grade 7 for ½ High School Credit) 502900CH (Grade 8 for ½ High School Credit)
EXPLORING COMPUTER SCIENCE NEW NAME: FUNDAMENTALS OF COMPUTING (2019-20) COURSE CODE: 5023 502800CH (grade 7 for ½ high school credit) 502900CH (grade 8 for ½ high school credit) COURSE DESCRIPTION: Fundamentals of Computing is designed to introduce students to the field of computer science through an exploration of engaging and accessible topics. Through creativity and innovation, students will use critical thinking and problem solving skills to implement projects that are relevant to students’ lives. They will create a variety of computing artifacts while collaborating in teams. Students will gain a fundamental understanding of the history and operation of computers, programming, and web design. Students will also be introduced to computing careers and will examine societal and ethical issues of computing. OBJECTIVE: Given the necessary equipment, software, supplies, and facilities, the student will be able to successfully complete the following core standards for courses that grant one unit of credit. RECOMMENDED GRADE LEVELS: 9-12 (Preference 9-10) COURSE CREDIT: 1 unit (120 hours) COMPUTER REQUIREMENTS: One computer per student with Internet access RESOURCES: See attached Resource List A. SAFETY Effective professionals know the academic subject matter, including safety as required for proficiency within their area. They will use this knowledge as needed in their role. The following accountability criteria are considered essential for students in any program of study. 1. Review school safety policies and procedures. 2. Review classroom safety rules and procedures. 3. Review safety procedures for using equipment in the classroom. 4. Identify major causes of work-related accidents in office environments. 5. Demonstrate safety skills in an office/work environment. -
Definition of Software Construction Artefacts for Software Construction
Chapter 3: Internet and Applications Definition of Software Construction Artefacts for Software Construction M.Zinn, G.Turetschek and A.D.Phippen Centre for Information Security and Network Research, University of Plymouth, Plymouth United Kingdom e-mail: [email protected]; [email protected], [email protected] Abstract The definition of a service based software construction process, published in 2007 (Zinn, 2007), builds on the use of software construction artefacts (SCA). These artefacts form useable building blocks (units of modelling) for software, which can be implemented in a software product by a service. The building blocks are categorized in four different types (GUI, data, function and structure). The foundation for the use of these artefacts is the method of the software construction process which constructs the software similar to the methods used in computer aided design (CAD). This paper refines and expands on the definition of the artefacts to present the current state of research in software construction procedures. It will show how the artefacts are constructed and how they can be used in software construction. In addition the software construction artefacts will be compared to components, modules and objects. Based on this definition of the application area, further potential scenarios for the use of the artefacts, as well as their properties and points still being worked on, are shown. The purpose is to create a more exact description, definition of the software construction artefacts to obtain a better understanding of the software construction process. Keywords Computer Aided Design (CAD), software construction process (SCP), software engineering, (web) services, software construction artefacts (SCA) and software construction services (SCS), model driven development (MDD) 1. -
Florida Course Code Directory Computer Science Course Information 2019-2020
FLORIDA COURSE CODE DIRECTORY COMPUTER SCIENCE COURSE INFORMATION 2019-2020 Section 1007.2616, Florida Statutes, was amended by the Florida Legislature to include the definition of computer science and a requirement that computer science courses be identified in the Course Code Directory published on the Department of Education’s website. DEFINITION: The study of computers and algorithmic processes, including their principles, hardware and software designs, applications, and their impact on society, and includes computer coding and computer programming. SECONDARY COMPUTER SCIENCE COURSES Middle and high schools in each district, including combination schools in which any of grades 6-12 are taught, must provide an opportunity for students to enroll in a computer science course. If a school district does not offer an identified computer science course the district must provide students access to the course through the Florida Virtual School (FLVS) or through other means. COURSE NUMBER COURSE TITLE 0200000 M/J Computer Science Discoveries 0200010 M/J Computer Science Discoveries 1 0200020 M/J Computer Science Discoveries 2 0200305 Computer Science Discoveries 0200315 Computer Science Principles 0200320 AP Computer Science A 0200325 AP Computer Science A Innovation 0200335 AP Computer Science Principles 0200435 PRE-AICE Computer Studies IGCSE Level 0200480 AICE Computer Science 1 AS Level 0200485 AICE Computer Science 2 A Level 0200490 AICE Information Technology 1 AS Level 0200495 AICE Information Technology 2 A Level 0200800 IB Computer -
Safety and Security Challenge
SAFETY AND SECURITY CHALLENGE TOP SUPERCOMPUTERS IN THE WORLD - FEATURING TWO of DOE’S!! Summary: The U.S. Department of Energy (DOE) plays a very special role in In fields where scientists deal with issues from disaster relief to the keeping you safe. DOE has two supercomputers in the top ten supercomputers in electric grid, simulations provide real-time situational awareness to the whole world. Titan is the name of the supercomputer at the Oak Ridge inform decisions. DOE supercomputers have helped the Federal National Laboratory (ORNL) in Oak Ridge, Tennessee. Sequoia is the name of Bureau of Investigation find criminals, and the Department of the supercomputer at Lawrence Livermore National Laboratory (LLNL) in Defense assess terrorist threats. Currently, ORNL is building a Livermore, California. How do supercomputers keep us safe and what makes computing infrastructure to help the Centers for Medicare and them in the Top Ten in the world? Medicaid Services combat fraud. An important focus lab-wide is managing the tsunamis of data generated by supercomputers and facilities like ORNL’s Spallation Neutron Source. In terms of national security, ORNL plays an important role in national and global security due to its expertise in advanced materials, nuclear science, supercomputing and other scientific specialties. Discovery and innovation in these areas are essential for protecting US citizens and advancing national and global security priorities. Titan Supercomputer at Oak Ridge National Laboratory Background: ORNL is using computing to tackle national challenges such as safe nuclear energy systems and running simulations for lower costs for vehicle Lawrence Livermore's Sequoia ranked No. -
A Parallel Program Execution Model Supporting Modular Software Construction
A Parallel Program Execution Model Supporting Modular Software Construction Jack B. Dennis Laboratory for Computer Science Massachusetts Institute of Technology Cambridge, MA 02139 U.S.A. [email protected] Abstract as a guide for computer system design—follows from basic requirements for supporting modular software construction. A watershed is near in the architecture of computer sys- The fundamental theme of this paper is: tems. There is overwhelming demand for systems that sup- port a universal format for computer programs and software The architecture of computer systems should components so users may benefit from their use on a wide reflect the requirements of the structure of pro- variety of computing platforms. At present this demand is grams. The programming interface provided being met by commodity microprocessors together with stan- should address software engineering issues, in dard operating system interfaces. However, current systems particular, the ability to practice the modular do not offer a standard API (application program interface) construction of software. for parallel programming, and the popular interfaces for parallel computing violate essential principles of modular The positions taken in this presentation are contrary to or component-based software construction. Moreover, mi- much conventional wisdom, so I have included a ques- croprocessor architecture is reaching the limit of what can tion/answer dialog at appropriate places to highlight points be done usefully within the framework of superscalar and of debate. We start with a discussion of the nature and VLIW processor models. The next step is to put several purpose of a program execution model. Our Parallelism processors (or the equivalent) on a single chip. -
Object-Oriented Software Construction Oriented Software Construction Software Construction I Software Construction II
ObjectObject--orientedoriented software construction Analysis/Requirements: What am I doing? Design: Which classes and methods? Implementation: How do I do it? Testing: Does it work? Maintenance: I just turn it in, right? Software Construction I z Programming is not just coding and debugging! z Analysis Analysis – English description of what system models, Design to meet a requirement or specification Implementation – Usually involves working with non-programmer Testing Maintenance to develop detailed specifications Waterfall model of software development z DiDesign: Mtit!Measure twice, cut once! – divide & conquer: system is composed of smaller subsystems which in turn may be composed of even smaller subsystems z OOP, system is decomposed into a set of cooperating objects – Pseudocode: describe tasks, subtasks, and how they relate – hand-simulation: desk-check pseudocode by stepping through it without using a computer – often use diagrams to better communicate the structure of the system z Often flowcharts in procedural languages and UML diagrams in OOP Wright State University, College of Engineering CS 241 Dr. T. Doom, Computer Science & Engineering Computer Programming II 58 Software Construction II z Implementation – Pick a language Analysis Design – emphasize good problem decomposition, Implementation well structured design, and readable, Testing well-documented programming style Maintenance –mayyg need to backtrack and redesign Waterfall model of software development z Testing – submitting input data or sample user interactions and seeing if program reacts properly – typically done in stages, starting with individual components and working up to subsystems, and eventually the entire program – bugs: errors in code or design – debugging: process of removing program bugs Wright State University, College of Engineering CS 241 Dr. -
6.005 Elements of Software Construction Fall 2008
MIT OpenCourseWare http://ocw.mit.edu 6.005 Elements of Software Construction Fall 2008 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. 10/15/2008 Today’s Topics how to avoid debugging ¾assertions ¾code reviews how to do it when you have to ¾reducing test cases ¾hypothesis-driven debugging ¾binary search Debugging very hard bugs Rob Miller ¾Heisenbugs Fall 2008 © Robert Miller 2008 © Robert Miller 2008 Defensive Programming First Defense: Impossible By Design first defense against bugs is to make them impossible in the language ¾Java makes buffer overflow bugs impossible ¾automatic array bounds checking make buffer overflow bugs impossible second defense against bugs is to not make them ¾static typing eliminates many runtime type errors ¾correctness: get things riihght first time in the protocols/libraries/modules third defense is to make bugs easy to find ¾TCP/IP guarantees that data is not reordered ¾local visibility of errors: if things fail, we'd rather they fail loudly and ¾BigInteger guarantees that there will be no overflow immediately – e.g. with assertions in self-imposed conventions fourth defense is extensive testing ¾immutable objects can be passed around and shared without fear ¾uncover as many bugs as possible ¾caution: you have to keep the discipline last resort is dbidebugging • get the language to hel p you as much as possible , e.g. with pritivate and final ¾needed when effect of bug is distant from cause © Robert Miller 2008 © Robert Miller 2008 1 10/15/2008 Second Defense: Correctness Third Defense: Immediate Visibility get things right the first time if we can't prevent bugs, we can try to localize them to ¾don’t code before you think! Think before you code. -
<Computer Science, Software Engineering >
<Computer Science, Software Engineering > The following is a hypothetical schedule, based on the 2018-2019 catalog. It assumes no transferred credits, no requirements waived by placement tests, and no courses taken in the summer. UW-Eau Claire cannot guarantee all courses will be offered as shown, but will provide a range of courses that will enable prepared students to fulfill their requirements in a timely period. This is just a guide. Please consult your advisor, the catalog, and your degree audit for specific requirements. FIRST YEAR FIRST SEMESTER SECOND SEMESTER Subj/Area/Course Title Crs Subj/Area/Course Title Crs CS 145 Intro to OO Prog 4 CS 245 Adv. Prog. Data Structures 4 CS 146 Big Picture in CS 1 WRIT 114/116 Blugold Seminar 5 MATH 112 or Precalculus 4 MATH 114 Calculus I 4 MATH 109 & 113 College Algebra and Trig (Winterim) (MATH 113 – prereq or concurrent enrollment for CS 245 LE Core Electives 6 LE Core Electives 3 TOTAL 15 TOTAL 16 SECOND YEAR FIRST SEMESTER SECOND SEMESTER Subj/Area/Course Title Crs Subj/Area/Course Title Crs CS 260 Database Systems (prereq for CS355) 4 CS 252 Intro. Computer Systems (prereq for CS 4 CS352, 452) MINOR Courses for Minor/Certificate 6 CS 268 Web Systems 3 LE Core Electives 6 LE Core Electives 3-6 MINOR Courses for Minor/Certificate 3 TOTAL 16 TOTAL 15 THIRD YEAR FIRST SEMESTER – Apply for Admission to Major SECOND SEMESTER Subj/Area/Course Title Crs Subj/Area/Course Title Crs CS 335 Algorithms (prereq for CS 452) 3 CS 355 Software Engineering I 3 (Fall only) (Spring only) CS 352 ComputeOrg. -
Integration Testing of Object-Oriented Software
POLITECNICO DI MILANO DOTTORATO DI RICERCA IN INGEGNERIA INFORMATICA E AUTOMATICA Integration Testing of Object-Oriented Software Ph.D. Thesis of: Alessandro Orso Advisor: Prof. Mauro Pezze` Tutor: Prof. Carlo Ghezzi Supervisor of the Ph.D. Program: Prof. Carlo Ghezzi XI ciclo To my family Acknowledgments Finding the right words and the right way for expressing acknowledgments is a diffi- cult task. I hope the following will not sound as a set of ritual formulas, since I mean every single word. First of all I wish to thank professor Mauro Pezze` , for his guidance, his support, and his patience during my work. I know that “taking care” of me has been a hard work, but he only has himself to blame for my starting a Ph.D. program. A very special thank to Professor Carlo Ghezzi for his teachings, for his willingness to help me, and for allowing me to restlessly “steal” books and journals from his office. Now, I can bring them back (at least the one I remember...) Then, I wish to thank my family. I owe them a lot (and even if I don't show this very often; I know this very well). All my love goes to them. Special thanks are due to all my long time and not-so-long time friends. They are (stricty in alphabetical order): Alessandro “Pari” Parimbelli, Ambrogio “Bobo” Usuelli, Andrea “Maken” Machini, Antonio “the Awesome” Carzaniga, Dario “Pitone” Galbiati, Federico “Fede” Clonfero, Flavio “Spadone” Spada, Gianpaolo “the Red One” Cugola, Giovanni “Negroni” Denaro, Giovanni “Muscle Man” Vigna, Lorenzo “the Diver” Riva, Matteo “Prada” Pradella, Mattia “il Monga” Monga, Niels “l’e´ semper chi” Kierkegaard, Pierluigi “San Peter” Sanpietro, Sergio “Que viva Mex- ico” Silva. -
Artificial Intelligence Program 1
Artificial Intelligence Program 1 Artificial Intelligence Program Reid Simmons, Director of the BSAI program (NSH 3213) 15-122 Principles of Imperative Computation 10 (students without credit or a waiver for 15-112, Jean Harpley, Program Coordinator (NSH 1517) Fundamentals of Programming and Computer www.cs.cmu.edu/bs-in-artificial-intelligence (http://www.cs.cmu.edu/bs-in- Science, must take 15-112 before 15-122) artificial-intelligence/) 15-150 Principles of Functional Programming 10 15-210 Parallel and Sequential Data Structures and 12 Overview Algorithms 15-213 Introduction to Computer Systems 12 Carnegie Mellon University has led the world in artificial intelligence 15-251 Great Ideas in Theoretical Computer Science 12 education and innovation since the field was created. It's only natural, then, that the School of Computer Science would offer the nation's first bachelor's degree in Artificial Intelligence, which started in Fall 2018. Artificial Intelligence The new BSAI program gives students the in-depth knowledge needed to transform large amounts of data into actionable decisions. The program All of the following three AI core courses: Units and its curriculum focus on how complex inputs — such as vision, language 07-180 Concepts in Artificial Intelligence 5 and huge databases — can be used to make decisions or enhance human 15-281 Artificial Intelligence: Representation and 12 capabilities. The curriculum includes coursework in computer science, Problem Solving math, statistics, computational modeling, machine learning and symbolic computation. Because Carnegie Mellon is devoted to AI for social good, 10-315 Introduction to Machine Learning (SCS Majors) 12 students will also take courses in ethics and social responsibility, with the plus one of the following AI core courses: option to participate in independent study projects that change the world for 16-385 Computer Vision 12 the better — in areas like healthcare, transportation and education. -
Effective Methods for Software Testing
Effective Methods for Software Testing Third Edition Effective Methods for Software Testing Third Edition William E. Perry Effective Methods for Software Testing, Third Edition Published by Wiley Publishing, Inc. 10475 Crosspoint Boulevard Indianapolis, IN 46256 www.wiley.com Copyright © 2006 by Wiley Publishing, Inc., Indianapolis, Indiana Published simultaneously in Canada ISBN-13: 978-0-7645-9837-1 ISBN-10: 0-7645-9837-6 Manufactured in the United States of America 10 9 8 7 6 5 4 3 2 1 3MA/QV/QU/QW/IN No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise, except as permitted under Sections 107 or 108 of the 1976 United States Copy- right Act, without either the prior written permission of the Publisher, or authorization through payment of the appropriate per-copy fee to the Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA 01923, (978) 750-8400, fax (978) 646-8600. Requests to the Publisher for permission should be addressed to the Legal Department, Wiley Publishing, Inc., 10475 Crosspoint Blvd., Indianapolis, IN 46256, (317) 572-3447, fax (317) 572-4355, or online at http://www.wiley.com/go/permissions. Limit of Liability/Disclaimer of Warranty: The publisher and the author make no repre- sentations or warranties with respect to the accuracy or completeness of the contents of this work and specifically disclaim all warranties, including without limitation warranties of fit- ness for a particular purpose. No warranty may be created or extended by sales or promo- tional materials.