Seminar paper from the year 2014 in the subject Computer Science - Commercial Information Technology, grade: 1,7, University of Mannheim, language: English, abstract: The goal of this seminar paper is to find out which dependencies exist in software development teams. These dependencies and their consequences will be identified and defined. These findings will be gathered by a systematic literature review based on the guidelines of Kitchenham. After that these findings will serve as a reference for constructing a framework respectively model, which illustrates and summarizes the impact of the dependencies for the software development teams. The literature review and the built model will be finally the answer to the following two research questions of this paper: Q1: What types of dependencies between software development teams are reported in the Information Systems and Software Engineering literature? Q2: What are the current theories on effects of team interdependencies?
Business process management is usually treated from two different perspectives: business administration and computer science. While business administration professionals tend to consider information technology as a subordinate aspect in business process management for experts to handle, by contrast computer science professionals often consider business goals and organizational regulations as terms that do not deserve much thought but require the appropriate level of abstraction. Mathias Weske argues that all communities involved need to have a common understanding of the different aspects of business process management. To this end, he details the complete business process lifecycle from the modeling phase to process enactment and improvement, taking into account all different stakeholders involved. After starting with a presentation of general foundations and abstraction models, he explains concepts like process orchestrations and choreographies, as well as process properties and data dependencies. Finally, he presents both traditional and advanced business process management architectures, covering, for example, workflow management systems, service-oriented architectures, and data-driven approaches. In addition, he shows how standards like WfMC, SOAP, WSDL, and BPEL fit into the picture. This textbook is ideally suited for classes on business process management, information systems architecture, and workflow management. This 2nd edition contains major updates on BPMN Version 2 process orchestration and process choreographies, and the chapter on BPM methodologies has been completely rewritten. The accompanying website www.bpm-book.com contains further information and additional teaching material.
Personalized Predictive Modeling in Diabetes features state-of-the-art methodologies and algorithmic approaches which have been applied to predictive modeling of glucose concentration, ranging from simple autoregressive models of the CGM time series to multivariate nonlinear regression techniques of machine learning. Developments in the field have been analyzed with respect to: (i) feature set (univariate or multivariate), (ii) regression technique (linear or non-linear), (iii) learning mechanism (batch or sequential), (iv) development and testing procedure and (v) scaling properties. In addition, simulation models of meal-derived glucose absorption and insulin dynamics and kinetics are covered, as an integral part of glucose predictive models. This book will help engineers and clinicians to: select a regression technique which can capture both linear and non-linear dynamics in glucose metabolism in diabetes, and which exhibits good generalization performance under stationary and non-stationary conditions; ensure the scalability of the optimization algorithm (learning mechanism) with respect to the size of the dataset, provided that multiple days of patient monitoring are needed to obtain a reliable predictive model; select a features set which efficiently represents both spatial and temporal dependencies between the input variables and the glucose concentration; select simulation models of subcutaneous insulin absorption and meal absorption; identify an appropriate validation procedure, and identify realistic performance measures. Describes fundamentals of modeling techniques as applied to glucose control Covers model selection process and model validation Offers computer code on a companion website to show implementation of models and algorithms Features the latest developments in the field of diabetes predictive modeling Ph.D. candidate at the Department of Materials Science and Engineering, University of Ioannina, Greece
Continuous Delivery shows how tocreate fully automated, repeatable, and reliable processes for rapidly moving changes through build, deploy, test, and release. Using these techniques, software organizations are getting critical fixes and other new releases into production in hours - sometimes even minutes - evenin large projects with complex code bases. Jez Humble and David Farley begin by presenting the high-level principles and practices required to succeed with regular, repeatable, low-risk releases. Next, they introduce the ´´deployment pipeline,´´ an automated process for managing all changes, from check-in to release. Finally, they discuss the ´´ecosystem´´ needed to support deployment pipelines, from infrastructure to data management and governance. The authors introduce many state-of-the-art techniques, including in-production monitoring and tracing, dependency management, and the use of virtualization. For each, they review key issues, demonstrate how to mitigate risks, and identify best practices. Coverage includes · Overcoming ´´anti-patterns´´ that slow down releases and reduce quality · Automating all facets of configuration management and testing · Implementing deployment pipelines at team and organizational levels · Scripting highly-effective automated build and deployment processes · Triggering automated processes whenever a change is made · Automating acceptance testing, from analysis to implementation · Testing capacity and other non-functional requirements · Utilizing continuous deployment, rollbacks, and zero-downtime releases · Managing infrastructure, data, components, dependencies, and versions · Navigating risk management, compliance, and other obstacles Whether you´re a developer, architect, tester, or manager, this book will help you move from idea to release faster than ever - so you can deliver far more value, far more rapidly. Product Description Winner of the 2011 Jolt Excellence Award! Getting software released to users is often a painful, risky, and time-consuming process. This groundbreaking new book sets out the principles and technical practices that enable rapid, incremental delivery of high quality, valuable new functionality to users. Through automation of the build, deployment, and testing process, and improved collaboration between developers, testers, and operations, delivery teams can get changes released in a matter of hours- sometimes even minutes-no matter what the size of a project or the complexity of its code base. Jez Humble and David Farley begin by presenting the foundations of a rapid, reliable, low-risk delivery process. Next, they introduce the ´´deployment pipeline,´´ an automated process for managing all changes, from check-in to release. Finally, they discuss the ´´ecosystem´´ needed to support continuous delivery, from infrastructure, data and configuration management to governance. The authors introduce state-of-the-art techniques, including automated infrastructure management and data migration, and the use of virtualization. For each, they review key issues, identify best practices, and demonstrate how to mitigate risks. Coverage includes . Automating all facets of building, integrating, testing, and deploying software . Implementing deployment pipelines at team and organizational levels . Improving collaboration between developers, testers, and operations . Developing features incrementally on large and distributed teams . Implementing an effective configuration management strategy . Automating acceptance testing, from analysis to implementation . Testing capacity and other non-functional requirements . Implementing continuous deployment and zero-downtime releases . Managing infrastructure, data, components and dependencies . Navigating risk management, compliance, and auditing Whether you´re a developer, systems administrator, tester, or manager, this book will help your organization move from idea to release faster than ever-so you can deliver value to your business rapidly and reliably. Backcover Getting software released to users is often a painful, risky, and time-consuming process. This groundbreaking new book sets out the principles and technical practices that enable rapid, incremental delivery of high quality, valuable new functionality to users. Through automation of the build, deployment, and testing process, and improved collaboration between developers, testers, and operations, delivery teams can get changes released in a matter of hours-
The 5th edition of this popular book has been fully updated for PHP 7, including replacing the PEAR package manager with Composer, and new material on Vagrant and PHP standards. It provides a solid grounding in PHPs support for objects, it builds on this foundation to instill core principles of software design and then covers the tools and practices needed to develop, test and deploy robust code. PHP Objects, Patterns, and Practice begins by covering PHPs object-oriented features. It introduces key topics including class declaration, inheritance, reflection and much more. The next section is devoted to design patterns. It explains the principles that make patterns powerful. The book covers many of the classic design patterns and includes chapters on enterprise and database patterns. The last segment of the book covers the tools and practices that can help turn great code into a successful project. The section shows how to manage multiple developers and releases with git, how to manage builds and dependencies with Composer. It also explores strategies for automated testing and continuous integration. Taken together these three elements: object fundamentals, design principles, and best practice will help the reader develop elegant and rock solid systems. PHP Objects, Patterns, and Practice: Describes and demonstrates PHPs built-in object-oriented features Breaks down the principles of object-oriented design, explaining key design patterns using practical examples. Discusses the tools and practices necessary for developing, testing and deploying exemplary applications. What Youll Learn: How to work with object fundamentals: writing classes and methods, instantiating objects, creating powerful class hierarchies using inheritance. Master advanced object-oriented features, including static methods and properties, managing error conditions with exceptions, and creating abstract classes and interfaces. Learn about the new object-oriented features introduced by PHP 7 and why they matter for your code. Understand and use design principles to deploy objects and classes effectively in your projects. Learn about design patterns, their purpose, structure and the underlying principles that govern them. Discover a set of powerful patterns that you can deploy in your own projects. Learn about the tools and practices that can guarantee a successful project including unit testing; version control, build, installation and package management; and continuous integration. Who This Book is For: This book is suitable for anyone with at least a basic knowledge of PHP who wants to use its object-oriented features in their projects. Those who already know their interfaces from their abstracts may well still find it hard to use these features in their systems. They will benefit from the books emphasis on design. They will learn how to choose and combine the participants of a system; how to read design patterns and how to use them in their code. Finally this book is for PHP coders who want to learn about the practices and tools (version control, testing, continuous integration, etc) that can make projects safe, elegant and stable. Matt Zandstra has worked as a web programmer, consultant, and writer for over two decades. He is the author of SAMS Teach Yourself PHP in 24 Hours (three editions) and a contributor to DHTML Unleashed. He has written articles for Linux Magazine, Zend, IBM DeveloperWorks, and php|architect Magazine, among others. Matt was a senior developer/tech lead at Yahoo and API tech lead at LoveCrafts. Matt works as a consultant advising companies on their architectures and system management, and also develops systems primarily with PHP, and Java. Matt also writes fiction.
Essay from the year 2016 in the subject Computer Science - Commercial Information Technology, grade: Distinction / 1,5, University of Bristol, language: English, abstract: The first part of the essay introduces the map application OsmAnd. The main business processes will be outlined using a flow diagram before illustrating the applications value proposition and revenue model. Finally a SWOT-analysis will identify the applications strength to be the deployment of mobile map data, the customisation of map rendering and the ability of trip recording, audio and video notes and OSM editing. The second part of the essay uses a PEST-analysis to identify developing potential in a developing country, which was chosen to be Thailand. In consideration of the identified strengths of OsmAnd, the development of the agricultural sector was chosen for further investigation. A short summary of the current situation of the agribusiness follows. The third part of the essay matches the insights from the SWOT- and PEST-analyses to create a new business model. The model is then outlined in a similar manner as initially OsmAnd. Business processes are outlined with the support of a flow diagram, before the changes in value proposition and revenue model are discussed. The fourth part of the essay sketches potential risks identified during the design process of the new business model and their solution approaches, before concluding that the new model relies on the contribution of the users and the Thai government. Finally it will be recommended that a good stakeholder management will be needed to overcome the threat caused by these dependencies.
Proven strategies for maintaining and optimizing legacy code to get the most out of your existing applications. Examples in C-sharp, C++, and Java, as well as strategies for better using the industry standard modeling language: UML 2.0 Addresses the very concrete problems that programmers face working in the context of large untested code bases Based on successful classes for Object Mentor, the author helps organizations maintain older systems rather than go to the cost of developing new ones This book provides programmers with the ability to cost effectively handle common legacy code problems without having to go through the hugely expensive task of rewriting all existing code. It describes a series of practical strategies that developers can employ to bring their existing software applications under control. The author provides useful guidance about how to use these strategies when refactoring or making functional changes to code bases. One of the book´s key points is that it teaches developers to write tests that can be used to make sure they are not unintentionally changing the application as they optimize it. Examples are provided in Java, C++, and Csharp, and the book assumes that the reader has some knowledge of UML notation. Strategies using UML and code in C++ and Java primarily while language independent advice will be delivered in side bars and appendices for language specific users. Product Description This book provides programmers with the ability to cost effectively handlecommon legacy code problems without having to go through the hugelyexpensive task of rewriting all existing code. It describes a series of practicalstrategies that developers can employ to bring their existing softwareapplications under control. The author provides useful guidance about how touse these strategies when refactoring or making functional changes to codebases. One of the book´s key points is that it teaches developers to write teststhat can be used to make sure they are not unintentionally changing theapplication as they optimize it. Examples are provided in Java, C++, and Csharp,and the book assumes that the reader has some knowledge of UMLnotation. Strategies using UML and code in C++ and Java primarily whilelanguage independent advice will be delivered in side bars and appendices forlanguage specific users. Backcover Get more out of your legacy systems: more performance, functionality, reliability, and manageability Is your code easy to change? Can you get nearly instantaneous feedback when you do change it? Do you understand it? If the answer to any of these questions is no, you have legacy code, and it is draining time and money away from your development efforts. In this book, Michael Feathers offers start-to-finish strategies for working more effectively with large, untested legacy code bases. This book draws on material Michael created for his renowned Object Mentor seminars: techniques Michael has used in mentoring to help hundreds of developers, technical managers, and testers bring their legacy systems under control. The topics covered include Understanding the mechanics of software change: adding features, fixing bugs, improving design, optimizing performance Getting legacy code into a test harness Writing tests that protect you against introducing new problems Techniques that can be used with any language or platform-with examples in Java, C++, C, and C# Accurately identifying where code changes need to be made Coping with legacy systems that aren´t object-oriented Handling applications that don´t seem to have any structure This book also includes a catalog of twenty-four dependency-breaking techniques that help you work with program elements in isolation and make safer changes. © Copyright Pearson Education. All rights reserved. Preface. Introduction. I. THE MECHANICS OF CHANGE. 1. Changing Software. 2. Working with Feedback. 3. Sensing and Separation. 4. The Seam Model. 5. Tools. II. CHANGING SOFTWARE. 6. I Don´t Have Much Time and I Have To Change It. 7. It Takes Forever To Make a Change. 8. How Do I Add a Feature? 9. I Can´t Get This Class into a Test Harness. 10. I Can´t Run This Method into a Test Harness. 11. I Need to Make a Change. What Methods Should I Test? 12. I Need to Make Many Changes In One Area Do I Have To Break. 13. I Need To Make a Change but I Don´t Know What Tests To Write. 14. Dependencies on Libraries Are Killing Me. 15. My Application Is All API Calls. 16. I Don´t Understand the Code
Within the hierarchical models in the procedure for quantifying the quality of software products, an important role is played by the so-called computational method based on the theoretical and empirical dependencies, statistical data accumulated during tests, exploitation and the accompaniment of the program product. An important measure of reliability assessment (completeness, accuracy and consistency) is the so-called metric (asymptotic metrics). There are two main approaches to testing: structured and functional. We will only note that, depending on the test data selected and the expected results, testing is divided into: deterministic testing and stochastic testing. In this book, we pay particular attention to both deterministic approaches and probability models for debugging theories. Some of the models have been tested with real-world data. A Hausdorff metric was chosen to evaluate the test data which are fitted to the sigmoid models proposed in this book. Some of the existing cumulative probability distributions are considered in the light of modern debugging and test theories. We propose a software modules within the programming environment CAS Mathematica for the analysis.
This book is your concise guide to Ansible, the simple way to automate apps and IT infrastructure. In less than 250 pages, this book takes you from knowing nothing about configuration management to understanding how to use Ansible in a professional setting. You will learn how to create an Ansible playbook to automatically set up an environment, ready to install an open source project. Youll extract common tasks into roles that you can reuse across all your projects, and build your infrastructure on top of existing open source roles and modules that are available for you to use. You will learn to build your own modules to perform actions specific to your business. By the end you will create an entire cluster of virtualized machines, all of which have your applications and all their dependencies installed automatically. Finally, youll test your Ansible playbooks. Ansible can do as much or as little as you want it to. Ansible: From Beginner to Pro will teach you the key skills you need to be an Ansible professional. Youll be writing roles and modules and creating entire environments without human intervention in no time at all - add it to your library today. What You Will Learn Learn why Ansible is so popular and how to download and install it Create a playbook that automatically downloads and installs a popular open source project Use open source roles to complete common tasks, and write your own specific to your business Extend Ansible by writing your own modules Test your infrastructure using Test Kitchen and ServerSpec Who This Book Is For Ansible: From Beginner to Pro is for developers that currently create development and production environments by hand. If you find yourself running apt-get install regularly, this book is for you. Ansible adds reproducibility and saves you time all at once. Ansible: From Beginner to Pro is great for any developer wanting to enhance their skillset and learn new tools. Michael Heap is a software engineer from London, England. Day to day, he runs a team dedicated to reducing technical debt across a data processing platform with a wide range of technologies - from C++ to Java to Golang to PHP. When hes not working, Michael enjoys playing squash, travelling and trying to read every page on Wikipedia.