Why Software Is So Bad
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Writing Quality Software
Writing Quality Software About this white paper: This whitepaper was written by David C. Young, an employee of General Dynamics Information Technology (GDIT). Dr. Young is part of a team of GDIT employees who maintain, and support high performance computing systems at the Alabama Supercomputer Center (ASC). This was written in 2020. This paper is written for people who want to write good software, but don’t have a master’s degree in software architecture (or someone managing the project who does). Much of what is here would be covered in a software development practices class, often taught at the master’s degree level. Writing quality software is not only about the satisfaction of a job well done. It is also reflects on you and your professional reputation amongst your peers. In some cases writing quality software can be a factor in getting a job, losing a job, or even life or death. Furthermore, writing quality software should be considered an implicit requirement in every software development project. If the intended useful life of the software is many years, that is yet another reason to do a good job writing it. Introduction Consider this situation, which is all too common. You have written a really neat piece of software. You put it out on github, then tell your colleagues about it. Soon you are bombarded with a series of complaints from people who tried to install, and use your software. Some of those complaints might be; • It won’t install on their version of Linux. • They did the same thing you reported, but got a different answer. -
Studying the Feasibility and Importance of Software Testing: an Analysis
Dr. S.S.Riaz Ahamed / Internatinal Journal of Engineering Science and Technology Vol.1(3), 2009, 119-128 STUDYING THE FEASIBILITY AND IMPORTANCE OF SOFTWARE TESTING: AN ANALYSIS Dr.S.S.Riaz Ahamed Principal, Sathak Institute of Technology, Ramanathapuram,India. Email:[email protected], [email protected] ABSTRACT Software testing is a critical element of software quality assurance and represents the ultimate review of specification, design and coding. Software testing is the process of testing the functionality and correctness of software by running it. Software testing is usually performed for one of two reasons: defect detection, and reliability estimation. The problem of applying software testing to defect detection is that software can only suggest the presence of flaws, not their absence (unless the testing is exhaustive). The problem of applying software testing to reliability estimation is that the input distribution used for selecting test cases may be flawed. The key to software testing is trying to find the modes of failure - something that requires exhaustively testing the code on all possible inputs. Software Testing, depending on the testing method employed, can be implemented at any time in the development process. Keywords: verification and validation (V & V) 1 INTRODUCTION Testing is a set of activities that could be planned ahead and conducted systematically. The main objective of testing is to find an error by executing a program. The objective of testing is to check whether the designed software meets the customer specification. The Testing should fulfill the following criteria: ¾ Test should begin at the module level and work “outward” toward the integration of the entire computer based system. -
System Safety Engineering: Back to the Future
System Safety Engineering: Back To The Future Nancy G. Leveson Aeronautics and Astronautics Massachusetts Institute of Technology c Copyright by the author June 2002. All rights reserved. Copying without fee is permitted provided that the copies are not made or distributed for direct commercial advantage and provided that credit to the source is given. Abstracting with credit is permitted. i We pretend that technology, our technology, is something of a life force, a will, and a thrust of its own, on which we can blame all, with which we can explain all, and in the end by means of which we can excuse ourselves. — T. Cuyler Young ManinNature DEDICATION: To all the great engineers who taught me system safety engineering, particularly Grady Lee who believed in me, and to C.O. Miller who started us all down this path. Also to Jens Rasmussen, whose pioneering work in Europe on applying systems thinking to engineering for safety, in parallel with the system safety movement in the United States, started a revolution. ACKNOWLEDGEMENT: The research that resulted in this book was partially supported by research grants from the NSF ITR program, the NASA Ames Design For Safety (Engineering for Complex Systems) program, the NASA Human-Centered Computing, and the NASA Langley System Archi- tecture Program (Dave Eckhart). program. Preface I began my adventure in system safety after completing graduate studies in computer science and joining the faculty of a computer science department. In the first week at my new job, I received a call from Marion Moon, a system safety engineer at what was then Ground Systems Division of Hughes Aircraft Company. -
Manuscript Instructions/Template
INCOSE Working Group Addresses System and Software Interfaces Sarah Sheard, Ph.D. Rita Creel CMU Software Engineering Institute CMU Software Engineering Institute (412) 268-7612 (703) 247-1378 [email protected] [email protected] John Cadigan Joseph Marvin Prime Solutions Group, Inc. Prime Solutions Group, Inc. (623) 853-0829 (623) 853-0829 [email protected] [email protected] Leung Chim Michael E. Pafford Defence Science & Technology Group Johns Hopkins University +61 (0) 8 7389 7908 (301) 935-5280 [email protected] [email protected] Copyright © 2018 by the authors. Published and used by INCOSE with permission. Abstract. In the 21st century, when any sophisticated system has significant software content, it is increasingly critical to articulate and improve the interface between systems engineering and software engineering, i.e., the relationships between systems and software engineering technical and management processes, products, tools, and outcomes. Although systems engineers and software engineers perform similar activities and use similar processes, their primary responsibilities and concerns differ. Systems engineers focus on the global aspects of a system. Their responsibilities span the lifecycle and involve ensuring the various elements of a system—e.g., hardware, software, firmware, engineering environments, and operational environments—work together to deliver capability. Software engineers also have responsibilities that span the lifecycle, but their focus is on activities to ensure the software satisfies software-relevant system requirements and constraints. Software engineers must maintain sufficient knowledge of the non-software elements of the systems that will execute their software, as well as the systems their software must interface with. -
Infrastructure (Resilience-Oriented) Modelling Language: I®ML
Infrastructure (Resilience-oriented) Modelling Language: I®ML A proposal for modelling infrastructures and their interconnections Andrés Silva, Roberto Filippini EUR 24727 EN - 2011 The mission of the JRC-IPSC is to provide research results and to support EU policy-makers in their effort towards global security and towards protection of European citizens from accidents, deliberate attacks, fraud and illegal actions against EU policies. European Commission Joint Research Centre Institute for the Protection and Security of the Citizen Contact information Address: TP 210, EC JRC Ispra, Ispra (Va) Italy E-mail: [email protected] Tel.: +39 0332 789936 Fax: http://ipsc.jrc.ec.europa.eu/ http://www.jrc.ec.europa.eu/ Legal Notice Neither the European Commission nor any person acting on behalf of the Commission is responsible for the use which might be made of this publication. Europe Direct is a service to help you find answers to your questions about the European Union Freephone number (*): 00 800 6 7 8 9 10 11 (*) Certain mobile telephone operators do not allow access to 00 800 numbers or these calls may be billed. A great deal of additional information on the European Union is available on the Internet. It can be accessed through the Europa server http://europa.eu/ JRC 63302 EUR 24727 EN ISBN 978-92-79-19324-8 ISSN 1018-5593 doi:10.2788/54708 Luxembourg: Publications Office of the European Union © European Union, 2011 Reproduction is authorised provided the source is acknowledged Printed in Italy Infrastructure (Resilience-oriented) Modelling Language: I®ML A proposal for modelling infrastructures and their connections Andrés Silva1 Roberto Filippini Universidad Politécnica de Madrid JRC of the European Commission Abstract The modelling of critical infrastructures (CIs) is an important issue that needs to be properly addressed, for several reasons. -
Reliability: Software Software Vs
Reliability Theory SENG 521 Re lia bility th eory d evel oped apart f rom th e mainstream of probability and statistics, and Software Reliability & was usedid primar ily as a tool to h hlelp Software Quality nineteenth century maritime and life iifiblinsurance companies compute profitable rates Chapter 5: Overview of Software to charge their customers. Even today, the Reliability Engineering terms “failure rate” and “hazard rate” are often used interchangeably. Department of Electrical & Computer Engineering, University of Calgary Probability of survival of merchandize after B.H. Far ([email protected]) 1 http://www. enel.ucalgary . ca/People/far/Lectures/SENG521/ ooene MTTF is R e 0.37 From Engineering Statistics Handbook [email protected] 1 [email protected] 2 Reliability: Natural System Reliability: Hardware Natural system Hardware life life cycle. cycle. Aging effect: Useful life span Life span of a of a hardware natural system is system is limited limited by the by the age (wear maximum out) of the system. reproduction rate of the cells. Figure from Pressman’s book Figure from Pressman’s book [email protected] 3 [email protected] 4 Reliability: Software Software vs. Hardware So ftware life cyc le. Software reliability doesn’t decrease with Software systems time, i.e., software doesn’t wear out. are changed (updated) many Hardware faults are mostly physical faults, times during their e. g., fatigue. life cycle. Each update adds to Software faults are mostly design faults the structural which are harder to measure, model, detect deterioration of the and correct. software system. Figure from Pressman’s book [email protected] 5 [email protected] 6 Software vs. -
Manual on Quality Assurance for Computer Software Related to the Safety of Nuclear Power Plants
SIMPLIFIED SOFTWARE LIFE-CYCLE DIAGRAM FEASIBILITY STUDY PROJECT TIME I SOFTWARE P FUNCTIONAL I SPECIFICATION! SOFTWARE SYSTEM DESIGN DETAILED MODULES CECIFICATION MODULES DESIGN SOFTWARE INTEGRATION AND TESTING SYSTEM TESTING ••COMMISSIONING I AND HANDOVER | DECOMMISSION DESIGN DESIGN SPECIFICATION VERIFICATION OPERATION AND MAINTENANCE SOFTWARE LIFE-CYCLE PHASES TECHNICAL REPORTS SERIES No. 282 Manual on Quality Assurance for Computer Software Related to the Safety of Nuclear Power Plants f INTERNATIONAL ATOMIC ENERGY AGENCY, VIENNA, 1988 MANUAL ON QUALITY ASSURANCE FOR COMPUTER SOFTWARE RELATED TO THE SAFETY OF NUCLEAR POWER PLANTS The following States are Members of the International Atomic Energy Agency: AFGHANISTAN GUATEMALA PARAGUAY ALBANIA HAITI PERU ALGERIA HOLY SEE PHILIPPINES ARGENTINA HUNGARY POLAND AUSTRALIA ICELAND PORTUGAL AUSTRIA INDIA QATAR BANGLADESH INDONESIA ROMANIA BELGIUM IRAN, ISLAMIC REPUBLIC OF SAUDI ARABIA BOLIVIA IRAQ SENEGAL BRAZIL IRELAND SIERRA LEONE BULGARIA ISRAEL SINGAPORE BURMA ITALY SOUTH AFRICA BYELORUSSIAN SOVIET JAMAICA SPAIN SOCIALIST REPUBLIC JAPAN SRI LANKA CAMEROON JORDAN SUDAN CANADA KENYA SWEDEN CHILE KOREA, REPUBLIC OF SWITZERLAND CHINA KUWAIT SYRIAN ARAB REPUBLIC COLOMBIA LEBANON THAILAND COSTA RICA LIBERIA TUNISIA COTE D'lVOIRE LIBYAN ARAB JAMAHIRIYA TURKEY CUBA LIECHTENSTEIN UGANDA CYPRUS LUXEMBOURG UKRAINIAN SOVIET SOCIALIST CZECHOSLOVAKIA MADAGASCAR REPUBLIC DEMOCRATIC KAMPUCHEA MALAYSIA UNION OF SOVIET SOCIALIST DEMOCRATIC PEOPLE'S MALI REPUBLICS REPUBLIC OF KOREA MAURITIUS UNITED ARAB -
Software Quality Assurance Activities in Software Testing
Software Quality Assurance Activities In Software Testing Tony never synopsizing any recidivist gazetting thus, is Brooke oncogenic and insolvable enough? Monogenous Chadd externalises, his disciplinarians denudes spring-clean Germanically. Spindliest Antoni never humors so edgewise or attain any shells lyingly. Each module performs one or two tasks, and thenpasses control to another module. Perform test automation for web application using Cucumber. Identify and describe safety software procurement methods, including supplier evaluation and source inspection processes. He previously worked at IBM SWS Toronto Lab. The information maintained in status accounting should enable the rebuild of any previous baseline. Beta Breakers supports all industry sectors. Thank you save time for all the lack of that includes test software assurance and must often. Focus on demonstrating pos next column containing algorithms, activities in software quality assurance testing activities of testing programs for their findings from his piece of skills, validate features to refresh teh page object. XML data sets to simulate production, using LLdap and ALTOVA. Schedule information should be expressed as absolute dates, as dates relative to either SCM or project milestones, or as a simple sequence of events. Its scope of software quality assurance and the correct email list all testshave been completely correct, in software quality assurance activities to be precisely known about its process on a familiarity level. These exercises are performed at every step along the way in the workshop. However, you have to balance driving out quality with production value. The second step is the validation of the computer system implementation against the computer system requirements. Software development tools, whose output becomes part of the program implementation and which can therefore introduce errors. -
IS2018 Book of Abstract
th Annual INCOSE 28 international symposium Washington, DC, USA July 7 - 12, 2018 Delivering Systems in the Age of Globalization Status as of May 15 th , 2018 Book of Abstract Table of contents keynotes ............................................................................................................................................................................... p. 7 keynotes#Keynote#2: The Big Shift: Innovation and Systems Engineering ................................................................ p. 7 Papers .................................................................................................................................................................................. p. 8 Papers#107: A Framework for Concept and its Testing on Patents ............................................................................ p. 8 Papers#75: A Framework for Testability Analysis from System Architecture Perspective .......................................... p. 9 Papers#128: A Framework for Understanding Systems Principles and Methods .......................................................p. 10 Papers#31: A fresh look at Systems Engineering - what is it, how should it work? .....................................................p. 11 Papers#35: A Hybrid Liver-Candidate Transportation System to Improve Accessibility and Extend Organ Life in L ..p. 12 Papers#55: A Novel “Resilience Viewpoint” to aid in Engineering Resilience in Systems of Systems (SoS) .............p. 13 Papers#97: A successful use of systems approaches in -
Renesas' Synergy Software Quality Handbook
User’s Manual Synergy Software Quality Handbook Notice 1. Renesas Synergy™ Platform User’s Manual Synergy Software Software Quality Assurance All information contained in these materials, including products and product specifications, represents information on the product at the time of publication and is subject to change by Renesas Electronics Corp. without notice. Please review the latest information published by Renesas Electronics Corp. through various means, including the Renesas Electronics Corp. website (http://www.renesas.com). www.renesas.com Rev. 4.0 April 2019 Synergy Software Quality Handbook Descriptions of circuits, software and other related information in this document are provided only to illustrate the operation of semiconductor products and application examples. You are fully responsible for the incorporation or any other use of the circuits, software, and information in the design of your product or system. Renesas Electronics disclaims any and all liability for any losses and damages incurred by you or third parties arising from the use of these circuits, software, or information. 2. Renesas Electronics hereby expressly disclaims any warranties against and liability for infringement or any other disputes involving patents, copyrights, or other intellectual property rights of third parties, by or arising from the use of Renesas Electronics products or technical information described in this document, including but not limited to, the product data, drawing, chart, program, algorithm, application examples. 3. No license, express, implied or otherwise, is granted hereby under any patents, copyrights or other intellectual property rights of Renesas Electronics or others. 4. You shall not alter, modify, copy, or otherwise misappropriate any Renesas Electronics product, whether in whole or in part. -
Model for Safety Case Modeling and Documentation
SAFE – an ITEA2 project D3.1.3 Contract number: ITEA2 – 10039 Safe Automotive soFtware architEcture (SAFE) ITEA Roadmap application domains: Major: Services, Systems & Software Creation Minor: Society ITEA Roadmap technology categories: Major: Systems Engineering & Software Engineering Minor 1: Engineering Process Support WP3 Deliverable D3.1.3: Proposal for extension of Meta- model for safety case modeling and documentation Due date of deliverable: 31/03/2013 Actual submission date: 28/03/2013 Start date of the project: 01/07/2011 Duration: 36 months Project coordinator name: Stefan Voget Organization name of lead contractor for this deliverable: fortiss Editor: Maged Khalil (fortiss GmbH) Contributors: Maged Khalil (fortiss GmbH), Eduard Metzker (Vector Informatik GmbH) Reviewers: Eduard Metzker (Vector Informatik GmbH) 2013 The SAFE Consortium 1 (50) SAFE – an ITEA2 project D3.1.3 Revision chart and history log Version Date Reason 0.1 2012-09-19 Initialization of document 0.2 2012-10-18 Input to Introduction Section 4 0.3 2012-11-07 Input to Overview on ISO Section 5 0.4 2012-11-16 Input to EAST-ADL Overview Section 7 0.5 2012-11-16 Input to Overview on ISO Section 5 0.6 2012-11-23 Input to Methodology Section 6 0.7 2012-11-29 Further Input to Methodology Section 6 0.8 2012-12-20 Editing and Input in various sections 0.9 2013-02-13 Input to SAFE Meta-model Contribution Section 8 0.10 2013-02-15 Introduction of Patterns Section 6.3 0.11 2013-03-08 Editing and Input in various sections 0.12 2013-03-24 First version ready for review 0.13 2013-03-26 Incorporation of first review comments 0.14 2013-03-27 Updated version reviewed. -
Evaluating and Improving Software Quality Using Text Analysis Techniques - a Mapping Study
Evaluating and Improving Software Quality Using Text Analysis Techniques - A Mapping Study Faiz Shah, Dietmar Pfahl Institute of Computer Science, University of Tartu J. Liivi 2, Tartu 50490, Estonia {shah, dietmar.pfahl}@ut.ee Abstract: Improvement and evaluation of software quality is a recurring and crucial activ- ity in the software development life-cycle. During software development, soft- ware artifacts such as requirement documents, comments in source code, design documents, and change requests are created containing natural language text. For analyzing natural text, specialized text analysis techniques are available. However, a consolidated body of knowledge about research using text analysis techniques to improve and evaluate software quality still needs to be estab- lished. To contribute to the establishment of such a body of knowledge, we aimed at extracting relevant information from the scientific literature about data sources, research contributions, and the usage of text analysis techniques for the im- provement and evaluation of software quality. We conducted a mapping study by performing the following steps: define re- search questions, prepare search string and find relevant literature, apply screening process, classify, and extract data. Bug classification and bug severity assignment activities within defect manage- ment are frequently improved using the text analysis techniques of classifica- tion and concept extraction. Non-functional requirements elicitation activity of requirements engineering is mostly improved using the technique of concept extraction. The quality characteristic which is frequently evaluated for the prod- uct quality model is operability. The most commonly used data sources are: bug report, requirement documents, and software reviews. The dominant type of re- search contributions are solution proposals and validation research.