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Measuring the Software Size of Sliced V-Model Projects
2014 Joint Conference of the International Workshop on Software Measurement and the International Conference on Software Process and Product Measurement Measuring the Software Size of Sliced V-model Projects Andreas Deuter PHOENIX CONTACT Electronics GmbH Gregor Engels Dringenauer Str. 30 University of Paderborn 31812 Bad Pyrmont, Germany Zukunftsmeile 1 Email: [email protected] 33102 Paderborn, Germany Email: [email protected] Abstract—Companies expect higher productivity of their soft- But, the “manufacturing” of software within the standard ware teams when introducing new software development methods. production process is just a very short process when bringing Productivity is commonly understood as the ratio of output the binaries of the software to the device. This process is hardly created and resources consumed. Whereas the measurement of to optimize and does not reflect the “production of software” the resources consumed is rather straightforward, there are at all. The creation of the software is namely done in the several definitions for counting the output of a software de- developing teams by applying typical software engineering velopment. Source code-based metrics create a set of valuable figures direct from the heart of the software - the code. However, methods. However, to keep up with the high demands on depending on the chosen process model software developers and implementing new functionality (e.g. for PLC) the software testers produce also a fair amount of documentation. Up to development process within these companies must improve. now this output remains uncounted leading to an incomplete Therefore, they start to analyze their software processes in view on the development output. This article addresses this open detail and to identify productivity drivers. -
Presentación De Powerpoint
Software Architecture of Oviedoof University Software Architecture Documentation Science Computer of of Course 2018/2019 Jose E. Labra Gayo School Software Architecture Contents of Oviedoof Communicating software architecture University Goal of documentation Documentation stakeholders Views Documentation and agile projects Guidelines Documentation approaches Kuchten 4+1 views Science Views and beyond C4 model Computer of of Arc42 School Software Software School of Computer Science University of Oviedo Architecture Software Architecture of Oviedoof Architecture is more than code University The code doesn't tell the whole story Questions the code doesn't answer How the software fits into existing system landscape? Why the technologies were chosen? What's the overall structure of the system? Where the components are deployed at runtime? How do the components communicate? How and where to add new functionality? What common patterns and principles are used? Science How the interfaces with other systems work? Computer How security/scalability/… has been achieved? of of . School Software Architecture of Oviedoof Goal of documentation Main goal: communicate the structure University Understand the big picture Create a shared vision: team and stakeholders Common vocabulary Describe what the sofware is and how is being built Focus for technical conversations about new features Provide a map to navigate the source code Justify design decisions Science Help new developers that join the team Computer of of School Software Architecture Documentation -
Software Architecture Addresses the Challenge of Communicating and Navigating Large and Complex Systems to Stakeholders, Both Technical and Non-Technical
SEDT 24 Transcript EPISODE 24 [INTRODUCTION] [0:00:00.0] JM: Software architecture addresses the challenge of communicating and navigating large and complex systems to stakeholders, both technical and non-technical. Over the years, software architecture has gone in and out of fashion. Today we discuss why software architecture is important, what it means to have software architecture and how to properly structure teams and incorporate architecture. Today’s shows guest hosted by David Curry. David sits down with Simon Brown to discuss the importance of having a common language for software systems. Simon is an independent consultant specializing in software architecture. He's the author of Software Architecture for Developers and the founder of Structurizr. If you're interested in hosting a show yourself like David, who is guest hosting the show. It’s his second show he's guest hosted. Check out softwareengineeringdaily.com/host or you can email [email protected], that's me, to find out more about hosting a show. We'd like to get more external voices and turn Software Engineering Daily into more of a media channel with different voices, different types of content, and I’d love to hear your ideas. Send me an email, [email protected]. [SPONSOR MESSAGE] [0:01:29.0] JM: For years when I started building a new app, I would use MongoDB. Now, I use MongoDB Atlas. MongoDB Atlas is the easiest way to use MongoDB in the cloud. It’s never been easier to hit the ground running. MongoDB Atlas is the only database as a service from the engineers who built MongoDB. -
Introduction to Metamodeling for Reducing Computational Burden Of
This is a repository copy of Introduction to metamodeling for reducing computational burden of advanced analyses with health economic models : a structured overview of metamodeling methods in a 6-step application process. White Rose Research Online URL for this paper: http://eprints.whiterose.ac.uk/156157/ Version: Accepted Version Article: Degeling, K., IJzerman, M.J., Lavieri, M.S. et al. (2 more authors) (2020) Introduction to metamodeling for reducing computational burden of advanced analyses with health economic models : a structured overview of metamodeling methods in a 6-step application process. Medical Decision Making, 40 (3). pp. 348-363. ISSN 0272-989X https://doi.org/10.1177/0272989X20912233 Degeling, K., IJzerman, M. J., Lavieri, M. S., Strong, M., & Koffijberg, H. (2020). Introduction to Metamodeling for Reducing Computational Burden of Advanced Analyses with Health Economic Models: A Structured Overview of Metamodeling Methods in a 6-Step Application Process. Medical Decision Making, 40(3), 348–363. Copyright © 2020 The Author(s) DOI: 10.1177/0272989X20912233 Reuse Items deposited in White Rose Research Online are protected by copyright, with all rights reserved unless indicated otherwise. They may be downloaded and/or printed for private study, or other acts as permitted by national copyright laws. The publisher or other rights holders may allow further reproduction and re-use of the full text version. This is indicated by the licence information on the White Rose Research Online record for the item. Takedown If you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing [email protected] including the URL of the record and the reason for the withdrawal request. -
Dashboard Meta-Model for Knowledge Management in Technological Ecosystem: a Case Study in Healthcare †
Proceedings Dashboard Meta-Model for Knowledge Management in Technological Ecosystem: A Case Study in Healthcare † Andrea Vázquez-Ingelmo 1,*, Alicia García-Holgado 1, Francisco José García-Peñalvo 1 and Roberto Therón 2 1 GRIAL Research Group, Computer Science Department, University of Salamanca, 37008 Salamanca, Spain; [email protected] (A.G.-H.); [email protected] (F.J.G.-P.) 2 VisUSAL, GRIAL Research Group, Computer Science Department, University of Salamanca, 37008 Salamanca, Spain; [email protected] * Correspondence: [email protected]; Tel.: +34-923294500 (ext. 3433) † Presented at the 13th International Conference on Ubiquitous Computing and Ambient Intelligence UCAmI 2019, Toledo, Spain, 2–5 December 2019. Published: 20 November 2019 Abstract: Informal caregivers play an important role in healthcare systems in many countries. They have a high impact on reducing care costs related to dependent persons because their support prevents institutionalization. A technological ecosystem has been defined to support informal caregivers using psychoeducation techniques. This ecosystem should include a dashboard to support decision-making processes related to the wellbeing of patients and caregivers. A dashboard meta-model was used to obtain a concrete model for the presented context. This meta-model allows defining dashboards adapted to the users’ needs and specific data domains. Keywords: model-driven development; dashboard; meta-model; knowledge management; healthcare; technological ecosystem 1. Introduction Nowadays, knowledge is the driver for development in any context. It has become the most important strategic factor in corporate operations [1] because it is associated with the capabilities of companies to achieve a competitive advantage [2,3]. Within an organization, knowledge is not only electronic or printed documents; the employees’ own knowledge and the implicit knowledge within the organization’s processes are part of the assets related to knowledge [4]. -
Beyond Accuracy: Assessing Software Documentation Quality
Beyond Accuracy: Assessing Soware Documentation ality Christoph Treude Justin Middleton Thushari Atapattu [email protected] [email protected] [email protected] University of Adelaide North Carolina State University University of Adelaide Adelaide, SA, Australia Raleigh, NC, United States Adelaide, SA, Australia ABSTRACT provides initial evidence for the strengths and weaknesses of dif- Good software documentation encourages good software engi- ferent genres of documentation (blog articles, reference documen- neering, but the meaning of “good” documentation is vaguely de- tation, README files, Stack Overflow threads, tutorials) based on fined in the software engineering literature. To clarify this ambi- the ten dimensions of our software documentation quality frame- guity, we draw on work from the data and information quality work. community to propose a framework that decomposes documenta- The contributions of this work are: tion quality into ten dimensions of structure, content, and style. To • demonstrate its application, we recruited technical editorsto apply A ten-dimensional framework for asking questions about the framework when evaluating examples from several genres of software documentation quality, • software documentation. We summarise their assessments—for ex- A partially validated survey instrument to evaluate docu- ample, reference documentation and README files excel in quality ment quality over multiple documentation genres, and • whereas blog articles have more problems—and we describe our vi- A vision for the expansion of a unified quality framework sion for reasoning about software documentation quality and for through further experimentation. the expansion and potential of a unified quality framework. 2 BACKGROUND AND RELATED WORK CCS CONCEPTS The most related piece of work to this paper is the seminal 1995 • Software and its engineering → Documentation; • Social article “Beyond Accuracy: What Data Quality Means to Data Con- and professional topics → Quality assurance. -
Software Development a Practical Approach!
Software Development A Practical Approach! Hans-Petter Halvorsen https://www.halvorsen.blog https://halvorsen.blog Software Development A Practical Approach! Hans-Petter Halvorsen Software Development A Practical Approach! Hans-Petter Halvorsen Copyright © 2020 ISBN: 978-82-691106-0-9 Publisher Identifier: 978-82-691106 https://halvorsen.blog ii Preface The main goal with this document: • To give you an overview of what software engineering is • To take you beyond programming to engineering software What is Software Development? It is a complex process to develop modern and professional software today. This document tries to give a brief overview of Software Development. This document tries to focus on a practical approach regarding Software Development. So why do we need System Engineering? Here are some key factors: • Understand Customer Requirements o What does the customer needs (because they may not know it!) o Transform Customer requirements into working software • Planning o How do we reach our goals? o Will we finish within deadline? o Resources o What can go wrong? • Implementation o What kind of platforms and architecture should be used? o Split your work into manageable pieces iii • Quality and Performance o Make sure the software fulfills the customers’ needs We will learn how to build good (i.e. high quality) software, which includes: • Requirements Specification • Technical Design • Good User Experience (UX) • Improved Code Quality and Implementation • Testing • System Documentation • User Documentation • etc. You will find additional resources on this web page: http://www.halvorsen.blog/documents/programming/software_engineering/ iv Information about the author: Hans-Petter Halvorsen The author currently works at the University of South-Eastern Norway. -
The Developer's Guide to Debugging
The Developer’s Guide to Debugging Thorsten Grotker¨ · Ulrich Holtmann Holger Keding · Markus Wloka The Developer’s Guide to Debugging 123 Thorsten Gr¨otker Ulrich Holtmann Holger Keding Markus Wloka Internet: http://www.debugging-guide.com Email: [email protected] ISBN: 978-1-4020-5539-3 e-ISBN: 978-1-4020-5540-9 Library of Congress Control Number: 2008929566 c 2008 Springer Science+Business Media B.V. No part of this work may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, microfilming, recording or otherwise, without written permission from the Publisher, with the exception of any material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Printed on acid-free paper 987654321 springer.com Foreword Of all activities in software development, debugging is probably the one that is hated most. It is guilt-ridden because a technical failure suggests personal fail- ure; because it points the finger at us showing us that we have been wrong. It is time-consuming because we have to rethink every single assumption, every single step from requirements to implementation. Its worst feature though may be that it is unpredictable: You never know how much time it will take you to fix a bug - and whether you’ll be able to fix it at all. Ask a developer for the worst moments in life, and many of them will be related to debugging. It may be 11pm, you’re still working on it, you are just stepping through the program, and that’s when your spouse calls you and asks you when you’ll finally, finally get home, and you try to end the call as soon as possible as you’re losing grip on the carefully memorized observations and deductions. -
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. -
Understanding Document for Software Project
Understanding Document For Software Project Sax burls his lambda fidged inseparably or respectively after Dryke fleeces and bobbles luxuriously, pleased and perispomenon. Laird is Confucian and sleet geometrically while unquiet Isador prise and semaphore. Dryke is doltish and round devilish as gyrational Marshall paraffin modestly and toot unofficially. How we Write better Software Requirement Specification SRS. Project Initiation Documents Project Management from. How plenty you punch an understanding document for custom project? Core Practices for AgileLean Documentation Agile Modeling. It projects include more project specification and understanding of different business analysts to understand. Explaining restrictions or constraints within the requirements document will escape further. FUNCTIONAL and TECHNICAL REQUIREMENTS DOCUMENT. Anyone preparing a technical requirement document should heed what. Most software makers adhere in a formal development process similar leaving the one described. Developers who begin programming a crazy system without saying this document to hand. Functional specification documents project impact through. Documentation in software engineering is that umbrella course that encompasses all written documents and materials dealing with open software product's development and use. Nonfunctional Requirements Scaled Agile Framework. We understand software project, she can also prefer to understanding! The project for understanding of course that already understand the ability to decompose a formal text can dive deep into a route plan which are the. Adopted for large mouth small mistake and proprietary documentation projects. Design Document provides a description of stable system architecture software. Process Documentation Guide read How to Document. Of hostile software Understanding how they project is contribute probably the. The architecture interaction and data structures need explaining as does around database. -
MIRROR Architecture and Integration Plan
Co‐funded by the Horizon 2020 programme of the European Union h2020mirror.eu MIRROR Migration‐Related Risks caused by misconceptions of Opportunities and Requirements Grant Agreement No. GA832921 Deliverable D7.1 Work‐package WP7: Architecture and Information Model Deliverable D7.1: MIRROR Architecture and Integration Plan Deliverable Leader EURIX Quality Assessor FOI Dissemination level Public Delivery date in Annex I M6, November 30, 2019 Actual delivery date November 30, 2019 Revisions 1 Status Final Keywords MIRROR Architecture, Components, Continuous Integration MIRROR Deliverable 7.1 Disclaimer This document contains material, which is under copyright of individual or several MIRROR consortium parties, and no copying or distributing, in any form or by any means, is allowed without the priorwritten agreement of the owner of the property rights. The commercial use of any information contained in this document may require a license from the propri‐ etor of that information. Neither the MIRROR consortium as a whole, nor individual parties of the MIRROR consortium warrantthat the information contained in this document is suitable for use, nor that the use of the information isfree from risk, and accepts no liability for loss or damage suffered by any person using this information. This document reflects only the authors’ view. The European Community is not liable for any use thatmay be made of the information contained herein. © 2019 Participants in the MIRROR Project Page 2 (of 35) h2020mirror.eu Deliverable 7.1 MIRROR List of Authors Partner Acronym Authors EURIX Francesco Gallo, Germano Russo LUH Erick Elejalde, Miroslav Shaltev SAIL Gerhard Backfried, Erinc Dikici CERTH Vasileios Mezaris, Alexandros Pournaras RUG Jeanne Pia Mifsud Bonnici © MIRROR Page 3 (of 35) MIRROR Deliverable 7.1 Table of Contents Executive Summary 6 1 Introduction 7 1.1 Relationship with Other Deliverables ............................ -
Microservices Vs. Service-Oriented Architecture
Exploring interactive application landscape visualizations based on low-code automation Nick Jansen First supervisor: dr. ir. J.M.E.M van der Werf, UU Second supervisor: prof. dr. S. Brinkkemper, UU External supervisor: ir. A. Koelewijn, Mendix B.V. INTRODUCTION .................................................................... 3 RESEARCH APPROACH .......................................................... 5 2.1 Research Questions ...................................................................... 5 2.2 Research Methods ....................................................................... 7 LITERATURE STUDY ............................................................ 11 3.1 Context ...................................................................................... 11 3.2 Documentation problems .......................................................... 16 3.3 Documentation solutions ........................................................... 19 3.4 Conclusions ................................................................................ 22 THE APPLICATION LANDSCAPE MAP REQUIREMENTS ....... 24 4.1 Interview information ................................................................ 24 4.2 Results ....................................................................................... 24 THE APPLICATION LANDSCAPE MAP SPECIFICATION .......... 33 5.1 Introduction ............................................................................... 34 5.2 Language Structure ...................................................................