Example Software Development Process
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Core Elements of Continuous Testing
WHITE PAPER CORE ELEMENTS OF CONTINUOUS TESTING Today’s modern development disciplines -- whether Agile, Continuous Integration (CI) or Continuous Delivery (CD) -- have completely transformed how teams develop and deliver applications. Companies that need to compete in today’s fast-paced digital economy must also transform how they test. Successful teams know the secret sauce to delivering high quality digital experiences fast is continuous testing. This paper will define continuous testing, explain what it is, why it’s important, and the core elements and tactical changes development and QA teams need to make in order to succeed at this emerging practice. TABLE OF CONTENTS 3 What is Continuous Testing? 6 Tactical Engineering Considerations 3 Why Continuous Testing? 7 Benefits of Continuous Testing 4 Core Elements of Continuous Testing WHAT IS CONTINUOUS TESTING? Continuous testing is the practice of executing automated tests throughout the software development cycle. It’s more than just automated testing; it’s applying the right level of automation at each stage in the development process. Unlike legacy testing methods that occur at the end of the development cycle, continuous testing occurs at multiple stages, including development, integration, pre-release, and in production. Continuous testing ensures that bugs are caught and fixed far earlier in the development process, improving overall quality while saving significant time and money. WHY CONTINUOUS TESTING? Continuous testing is a critical requirement for organizations that are shifting left towards CI or CD, both modern development practices that ensure faster time to market. When automated testing is coupled with a CI server, tests can instantly be kicked off with every build, and alerts with passing or failing test results can be delivered directly to the development team in real time. -
Writing and Reviewing Use-Case Descriptions
Bittner/Spence_06.fm Page 145 Tuesday, July 30, 2002 12:04 PM PART II WRITING AND REVIEWING USE-CASE DESCRIPTIONS Part I, Getting Started with Use-Case Modeling, introduced the basic con- cepts of use-case modeling, including defining the basic concepts and understanding how to use these concepts to define the vision, find actors and use cases, and to define the basic concepts the system will use. If we go no further, we have an overview of what the system will do, an under- standing of the stakeholders of the system, and an understanding of the ways the system provides value to those stakeholders. What we do not have, if we stop at this point, is an understanding of exactly what the system does. In short, we lack the details needed to actually develop and test the system. Some people, having only come this far, wonder what use-case model- ing is all about and question its value. If one only comes this far with use- case modeling, we are forced to agree; the real value of use-case modeling comes from the descriptions of the interactions of the actors and the system, and from the descriptions of what the system does in response to the actions of the actors. Surprisingly, and disappointingly, many teams stop after developing little more than simple outlines for their use cases and consider themselves done. These same teams encounter problems because their use cases are vague and lack detail, so they blame the use-case approach for having let them down. The failing in these cases is not with the approach, but with its application. -
Metamodeling Variability to Enable Requirements Reuse
Metamodeling Variability to Enable Requirements Reuse Begoña Moros 1, Cristina Vicente-Chicote 2, Ambrosio Toval 1 1Departamento de Informática y Sistemas Universidad de Murcia, 30100 Espinardo (Murcia), Spain {bmoros, atoval}@um.es 2 Departamento de Tecnologías de la Información y las Comunicaciones Universidad Politécnica de Cartagena, 30202 Cartagena (Murcia), Spain [email protected] Abstract. Model-Driven Software Development (MDSD) is recognized as a very promising approach to deal with software complexity. The Requirements Engineering community should be aware and take part of the Model-Driven revolution, enabling and promoting the integration of requirements into the MDSD life-cycle. As a first step to reach that goal, this paper proposes REMM, a Requirements Engineering MetaModel, which provides variability modeling mechanisms to enable requirements reuse. In addition, this paper also presents the REMM-Studio graphical requirements modeling tool, aimed at easing the definition of complex requirements models. This tool enables the specification of (1) catalogs of reusable requirements models (modeling for reuse facet of the tool), and (2) specific product requirements by reusing previously defined requirements models (modeling by reuse facet of the tool). Keywords: Model-Driven Software Development (MDSD), Requirements Engineering (RE), Requirements MetaModel (REMM), Requirements Reuse, Requirements Variability. 1 Introduction Model-Driven Software Development (MDSD) aims at raising the level of abstraction at which software is conceived, implemented, and evolved, in order to help managing the inherent complexity of modern software-based systems. As recently stated in a Forrester Research Inc. study “model-driven development will play a key role in the future of software development; it is a promising technique for helping application development managers address growing business complexity and demand ” [1]. -
Practical Agile Requirements Engineering Presented to the 13Th Annual Systems Engineering Conference 10/25/2010 – 10/28/2010 Hyatt Regency Mission Bay, San Diego, CA
Defense, Space & Security Lean-Agile Software Practical Agile Requirements Engineering Presented to the 13th Annual Systems Engineering Conference 10/25/2010 – 10/28/2010 Hyatt Regency Mission Bay, San Diego, CA Presented by: Dick Carlson ([email protected]) Philip Matuzic ([email protected]) BOEING is a trademark of Boeing Management Company. Copyright © 2009 Boeing. All rights reserved. 1 Agenda Boeing Defense, Space & Security| Lean-Agile Software . Introduction . Classic Requirements engineering challenges . How Agile techniques address these challenges . Overview / background of Agile software practices . History and evolution of Agile software Requirements Engineering . Work products and work flow of Agile Requirements Engineering . Integration of Agile software Requirements Engineering in teams using Scrum . Current status of the work and next steps Copyright © 2010 Boeing. All rights reserved. 2 Introduction Boeing Defense, Space & Security| Lean-Agile Software . A large, software-centric program applied Agile techniques to requirements definition using the Scrum approach . This presentation shows how systems engineering effectively applies Agile practices to software requirements definition and management . An experience model created from the program illustrates how failures on a large software program evolved into significant process improvements by applying specific Agile practices and principles to practical requirements engineering Copyright © 2010 Boeing. All rights reserved. 3 Requirements Reality Boeing Defense, Space & Security| Lean-Agile Software “The hardest single part of building a software system is deciding precisely what to build. No other part of the conceptual work is as difficult as establishing the detailed technical requirements, including all the interfaces to people, machines, and other software systems. No other part of the work so cripples the resulting system if done wrong. -
Leading Practice: Test Strategy and Approach in Agile Projects
CA SERVICES | LEADING PRACTICE Leading Practice: Test Strategy and Approach in Agile Projects Abstract This document provides best practices on how to strategize testing CA Project and Portfolio Management (CA PPM) in an agile project. The document does not include specific test cases; the list of test cases and steps for each test case are provided in a separate document. This document should be used by the agile project team that is planning the testing activities, and by end users who perform user acceptance testing (UAT). Concepts Concept Description Test Approach Defines testing strategy, roles and responsibilities of various team members, and test types. Testing Environments Outlines which testing is carried out in which environment. Testing Automation and Tools Addresses test management and automation tools required for test execution. Risk Analysis Defines the approach for risk identification and plans to mitigate risks as well as a contingency plan. Test Planning and Execution Defines the approach to plan the test cases, test scripts, and execution. Review and Approval Lists individuals who should review, approve and sign off on test results. Test Approach The test approach defines testing strategy, roles and responsibilities of various team members, and the test types. The first step is to define the testing strategy. It should describe how and when the testing will be conducted, who will do the testing, the type of testing being conducted, features being tested, environment(s) where the testing takes place, what testing tools are used, and how are defects tracked and managed. The testing strategy should be prepared by the agile core team. -
Chap 3. Test Models and Strategies 3.5 Test Integration and Automation 1
Chap 3. Test Models and Strategies 3.5 Test Integration and Automation 1. Introduction 2. Integration Testing 3. System Testing 4. Test Automation Appendix: JUnit Overview 1 1. Introduction -A system is composed of components. System of software components can be defined at any physical scope. Component System Typical intercomponent interfaces (locus of (Focus of Integration) (Scope of integration faults) Integration) Method Class Instance variables Intraclass messages Class Cluster Intraclass messages Cluster Subsystem Interclass messages Interpackage messages Subsystem System Inteprocess communication Remote procedure call ORB services, OS services -Integration test design is concerned with several primary questions: 1. Which components and interfaces should be exercised? 2. In what sequence will component interfaces be exercised? 2 3. Which test design technique should be used to exercise each interface? -Integration testing is a search for component faults that cause intercomponent failures. -System scope testing is a search for faults that lead to a failure to meet a system scope responsibility. ÷System scope testing cannot be done unless components interoperate sufficiently well to exercise system scope responsibilities. -Effective testing at system scope requires a concrete and testable system-level specification. ÷System test cases must be derived from some kind of functional specification. Traditionally, user documentation, product literature, line-item narrative requirements, and system scope models have been used. 3 2. Integration Testing -Unit testing focuses on individual components. Once faults in each component have been removed and the test cases do not reveal any new fault, components are ready to be integrated into larger subsystems. -Integration testing detects faults that have not been detected during unit testing, by focusing on small groups of components. -
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. -
Modeling System Requirements Using Use Cases and Petri Nets
ICSEA 2016 : The Eleventh International Conference on Software Engineering Advances Modeling System Requirements Using Use Cases and Petri Nets Radek Koˇc´ıand Vladim´ır Janouˇsek Brno University of Technology, Faculty of Information Technology, IT4Innovations Centre of Excellence Czech Republic email: {koci,janousek}@fit.vutbr.cz Abstract—The fundamental problem associated with software executable form, which can then be tested and debugged. All development is a correct identification, specification and sub- changes that result from validation process are hard to transfer sequent implementation of the system requirements. To specify back into the models. It is a problem because the models requirement, designers often create use case diagrams from become useless over the development time. Unified Modeling Language (UML). These models are then developed by further UML models. To validate requirements, Similar work based on ideas of model-driven develop- its executable form has to be obtained or the prototype has to be ment deals with gaps between different development stages developed. It can conclude in wrong requirement implementations and focuses on the usage of conceptual models during the and incorrect validation process. The approach presented in this simulation model development process—these techniques are work focuses on formal requirement modeling combining the called model continuity [8]. While it works with simulation classic models for requirements specification (use case diagrams) models during design stages, the approach proposed in this with models having a formal basis (Petri Nets). Created models can be used in all development stages including requirements paper focuses on live models that can be used in the deployed specification, verification, and implementation. -
Identify and Manage the Software Requirements Volatility Proposed Framework and Casestudy
(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 7, No. 5, 2016 Identify and Manage the Software Requirements Volatility Proposed Framework and CaseStudy Khloud Abd Elwahab Mahmoud Abd EL Latif Sherif Kholeif MSc student /Information system Associate Professor of information Assistant Professor of information Department system department system Faculty of computers and Faculty of computers and Faculty of computers and information, Helwan University line information, Helwan University information, Helwan University 3: Cairo, Egypt Cairo, Egypt Cairo, Egypt Abstract—Management of software requirements volatility a framework focus on how to manage requirements volatility through development of life cycle is a very important stage. It during the software development life cycle and to limit the helps the team to control significant impact all over the project implications thereof. The remainder paper is structured as (cost, time and effort), and also it keeps the project on track, to follows: Section 2 presents the motivation to search for the finally satisfy the user which is the main success criteria for the requirements volatility topic. Section 3 explains the software project. requirements volatility definition, factors, causes, and the In this research paper, we have analysed the root causes of measures, and finally explains the impact of that on software requirements volatility through a proposed framework development process. Section 4 contains proposed framework presenting the requirements volatility causes and how to manage and presents a case study in explanation of the benefits of this requirements volatility during the software development life framework. Section 5 concludes our results and provides some cycle. Our proposed framework identifies requirement error types, open research directions causes of requirements volatility and how to manage these II. -
A Confused Tester in Agile World … Qa a Liability Or an Asset
A CONFUSED TESTER IN AGILE WORLD … QA A LIABILITY OR AN ASSET THIS IS A WORK OF FACTS & FINDINGS BASED ON TRUE STORIES OF ONE & MANY TESTERS !! J Presented By Ashish Kumar, WHAT’S AHEAD • A STORY OF TESTING. • FROM THE MIND OF A CONFUSED TESTER. • FEW CASE STUDIES. • CHALLENGES IDENTIFIED. • SURVEY STUDIES. • GLOBAL RESPONSES. • SOLUTION APPROACH. • PRINCIPLES AND PRACTICES. • CONCLUSION & RECAP. • Q & A. A STORY OF TESTING IN AGILE… HAVE YOU HEARD ANY OF THESE ?? • YOU DON’T NEED A DEDICATED SOFTWARE TESTING TEAM ON YOUR AGILE TEAMS • IF WE HAVE BDD,ATDD,TDD,UI AUTOMATION , UNIT TEST >> WHAT IS THE NEED OF MANUAL TESTING ?? • WE WANT 100% AUTOMATION IN THIS PROJECT • TESTING IS BECOMING BOTTLENECK AND REASON OF SPRINT FAILURE • REPEATING REGRESSION IS A BIG TASK AND AN OVERHEAD • MICROSOFT HAS NO TESTERS NOT EVEN GOOGLE, FACEBOOK AND CISCO • 15K+ DEVELOPERS /4K+ PROJECTS UNDER ACTIVE • IN A “MOBILE-FIRST AND CLOUD-FIRST WORLD.” DEVELOPMENT/50% CODE CHANGES PER MONTH. • THE EFFORT, KNOWN AS AGILE SOFTWARE DEVELOPMENT, • 5500+ SUBMISSION PER DAY ON AVERAGE IS DESIGNED TO LOWER COSTS AND HONE OPERATIONS AS THE COMPANY FOCUSES ON BUILDING CLOUD AND • 20+ SUSTAINED CODE CHANGES/MIN WITH 60+PEAKS MOBILE SOFTWARE, SAY ANALYSTS • 75+ MILLION TEST CASES RUN PER DAY. • MR. NADELLA TOLD BLOOMBERG THAT IT MAKES MORE • DEVELOPERS OWN TESTING AND DEVELOPERS OWN SENSE TO HAVE DEVELOPERS TEST & FIX BUGS INSTEAD OF QUALITY. SEPARATE TEAM OF TESTERS TO BUILD CLOUD SOFTWARE. • GOOGLE HAVE PEOPLE WHO COULD CODE AND WANTED • SUCH AN APPROACH, A DEPARTURE FROM THE TO APPLY THAT SKILL TO THE DEVELOPMENT OF TOOLS, COMPANY’S TRADITIONAL PRACTICE OF DIVIDING INFRASTRUCTURE, AND TEST AUTOMATION. -
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. -
Design Thinking: Challenges for Software Requirements Elicitation
information Article Design Thinking: Challenges for Software Requirements Elicitation Hugo Ferreira Martins 1, Antônio Carvalho de Oliveira Junior 2, Edna Dias Canedo 1,* , Ricardo Ajax Dias Kosloski 2, Roberto Ávila Paldês 1 and Edgard Costa Oliveira 3 1 Department of Computer Science, University of Brasília (UnB), P.O. Box 4466, Brasília–DF, CEP 70910-900, Brazil; [email protected] (H.F.M.); [email protected] (R.Á.P.); 2 Faculty UnB Gama, University of Brasília (UnB), P.O. Box 4466, Brasília–DF, CEP 70910-900, Brazil; [email protected] (A.C.d.O.J.); [email protected] (R.A.D.K.) 3 Department of Production Engineering, University of Brasília (UnB), P.O. Box 4466, Brasília–DF, CEP 70910-900, Brazil; [email protected] * Correspondence: [email protected]; Tel.: +55-61-98114-0478 Received: 21 October 2019; Accepted: 30 October 2019; Published: 28 November 2019 Abstract: Agile methods fit well for software development teams in the requirements elicitation activities. It has brought challenges to organizations in adopting the existing traditional methods, as well as new ones. Design Thinking has been used as a requirements elicitation technique and immersion in the process areas, which brings the client closer to the software project team and enables the creation of better projects. With the use of data triangulation, this paper brings a literature review that collected the challenges in software requirements elicitation in agile methodologies and the use of Design Thinking. The result gave way to a case study in a Brazilian public organization project, via user workshop questionnaire with 20 items, applied during the study, in order to identify the practice of Design Thinking in this context.