Dave's Agile Timeline—A Personal Journey Into Lean-Agile Thinking
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Rugby - a Process Model for Continuous Software Engineering
INSTITUT FUR¨ INFORMATIK DER TECHNISCHEN UNIVERSITAT¨ MUNCHEN¨ Forschungs- und Lehreinheit I Angewandte Softwaretechnik Rugby - A Process Model for Continuous Software Engineering Stephan Tobias Krusche Vollstandiger¨ Abdruck der von der Fakultat¨ fur¨ Informatik der Technischen Universitat¨ Munchen¨ zur Erlangung des akademischen Grades eines Doktors der Naturwissenschaften (Dr. rer. nat.) genehmigten Dissertation. Vorsitzender: Univ.-Prof. Dr. Helmut Seidl Prufer¨ der Dissertation: 1. Univ.-Prof. Bernd Brugge,¨ Ph.D. 2. Prof. Dr. Jurgen¨ Borstler,¨ Blekinge Institute of Technology, Karlskrona, Schweden Die Dissertation wurde am 28.01.2016 bei der Technischen Universitat¨ Munchen¨ eingereicht und durch die Fakultat¨ fur¨ Informatik am 29.02.2016 angenommen. Abstract Software is developed in increasingly dynamic environments. Organizations need the capability to deal with uncertainty and to react to unexpected changes in require- ments and technologies. Agile methods already improve the flexibility towards changes and with the emergence of continuous delivery, regular feedback loops have become possible. The abilities to maintain high code quality through reviews, to regularly re- lease software, and to collect and prioritize user feedback, are necessary for con- tinuous software engineering. However, there exists no uniform process model that handles the increasing number of reviews, releases and feedback reports. In this dissertation, we describe Rugby, a process model for continuous software en- gineering that is based on a meta model, which treats development activities as parallel workflows and which allows tailoring, customization and extension. Rugby includes a change model and treats changes as events that activate workflows. It integrates re- view management, release management, and feedback management as workflows. As a consequence, Rugby handles the increasing number of reviews, releases and feedback and at the same time decreases their size and effort. -
Safe® 5.0 Glossary Scaled Agile Framework Terms and Definitions English
SAFe® 5.0 Glossary Scaled Agile Framework Terms and Definitions English PROVIDED BY www.scaledagileframework.com | www.scaledagile.com © Scaled Agile, Inc. Welcome to the SAFe® Glossary Make the Most of Your Learning Access the SAFe Community Platform Mange your member profile, access videos and training resources, join Communities of Practice, and more. Prepare Yourself Access your learning plan featuring your digital workbook, study materials, and certification practice test Become a Certified SAFe Professional Get certified to validate your knowledge, expand your professional capabilities, and open the door to new career opportunities. Access SAFe Content and Tools Access professional development resources and your trainer enablement plan to teach SAFe instructor-led courses. Collaborate in real time with your team and others Choose from ready-made templates to easily set up events like PI Planning and retrospectives—all with SAFe Collaborate. Showcase SAFe Credentials Display your digital badge to promote your SAFe capabilities and proficiencies throughout your career. community.scaledagile.com Guide to acronyms and abbreviations APD Agile Product Delivery OKR Objective and Key Results ART Agile Release Train OpEx Operating Expenses BO Business Owner PDCA Plan, Do, Check, Adjust BV Business Value PI Program Increment BVIR Big Visual Information Radiator PM Product Management CapEx Capital Expenses PO/PM Product Owner/Product Manager CD Continuous Deployment PO Product Owner CE Continuous Exploration ROAM Resolved, Owned, Accepted, -
Case Study BMC12
With guidance from Rally, BMC made a variety of changes to the organization to ensure success of their agile process. How BMC is Scaling Agile Development www.rallydev.com www.rallydev.com www.rallydev.com www.rallydev.com www.rallydev.com www.rallydev.com A Rally Customer Experience Report Something Ventured, Something Gained Designating an Agile Evangelist Scaling Agile Practices Across a Large Organization Creating a Highly Responsive Development Organization Requirements Runway, continued Despite a myriad of challenges and lessons learned, BMC This position was responsible for coordinating the training and rollout process; helping to resolve issues and facilitate Becky Strauss describes the concept like this: feels the end result is well worth the effort. The most The final measure any development process is in how it delivers value to customers. The move to Agile enables BMC to telling measure of their success is that the organization can communications. She also acted as ScrumMaster for the In BMC’s first year of agile development, they rolled out As you enter the Houston headquarters of “The benefits of Agile are multi-dimensional. create products in a way that is much more responsive to changing customer needs. Israel Gat summarizes it like this: not imagine going back to their old way of developing software. “scrum of scrums” as the need to coordinate multiple, agile processes and tools to over 300 people. Along the “The idea of a requirements runway is to plan ahead just enough to keep the project BMC Software and proceed across a peaceful, But the most important change is that it way, they learned some key lessons about successfully moving as fast as possible, without investing too much time and effort elaborating zen-like courtyard, you notice something that Agile is at BMC to stay. -
Agile Playbook V2.1—What’S New?
AGILE P L AY B O OK TABLE OF CONTENTS INTRODUCTION ..........................................................................................................4 Who should use this playbook? ................................................................................6 How should you use this playbook? .........................................................................6 Agile Playbook v2.1—What’s new? ...........................................................................6 How and where can you contribute to this playbook?.............................................7 MEET YOUR GUIDES ...................................................................................................8 AN AGILE DELIVERY MODEL ....................................................................................10 GETTING STARTED.....................................................................................................12 THE PLAYS ...................................................................................................................14 Delivery ......................................................................................................................15 Play: Start with Scrum ...........................................................................................15 Play: Seeing success but need more fexibility? Move on to Scrumban ............17 Play: If you are ready to kick of the training wheels, try Kanban .......................18 Value ......................................................................................................................19 -
Software Architecture: the Next Step for Object Technology (PANEL)
Software Architecture: The Next Step for Object Technology (PANEL) Bruce Anderson, University of ESSPX (moderator) Mary Shaw, Carnegie-Mellon University Larry Best, American Management Systems Kent Beck, First Class Software What is the next step for you? Progress comes Abstract from taking aware steps, but what steps are those? Architectures are the structuring paradigms, styles They could be in attempting to discover and and patterns that make up our software systems. catalogue architectures; creating awareness of this They are important in many ways: they allow us to level of product envisioning; doing design more talk usefully about systems without talking about consciously; finding ways of describing systems; their detail; a knowledge of them gives us design consolidating legacy code; abandoning legacy code; choices; attention to this level can make systems and making new software lifecycles. families of systems have the non-functional What is the next step for the community? Are there properties we want, especially changeability. ways to work that go beyond projects and Each panelist will address the following issues: companies? Will there be focus on the community, l What is architecture? which suggests cooperation, learning, divergence l What is the value you have had so far from and empowerment; or on the marketplace, which this concept? suggests competition, confidentiality, convergence l What is the next step for you? and dependence? l What is the next step for the community? 2 Mary Shaw 1 Background Software architecture is concerned with the What is architecture? We all have experience of organization of software systems: the selection of systems of great conceptual clarity and integrity. -
The Legacy of Victor R. Basili
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange About Harlan D. Mills Science Alliance 2005 Foundations of Empirical Software Engineering: The Legacy of Victor R. Basili Barry Boehm Hans Dieter Rombach Marvin V. Zelkowitz Follow this and additional works at: https://trace.tennessee.edu/utk_harlanabout Part of the Physical Sciences and Mathematics Commons Recommended Citation Boehm, Barry; Rombach, Hans Dieter; and Zelkowitz, Marvin V., "Foundations of Empirical Software Engineering: The Legacy of Victor R. Basili" (2005). About Harlan D. Mills. https://trace.tennessee.edu/utk_harlanabout/3 This Book is brought to you for free and open access by the Science Alliance at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in About Harlan D. Mills by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. University of Tennessee, Knoxville Trace: Tennessee Research and Creative Exchange The Harlan D. Mills Collection Science Alliance 1-1-2005 Foundations of Empirical Software Engineering: The Legacy of Victor R.Basili Barry Boehm Hans Dieter Rombach Marvin V. Zelkowitz Recommended Citation Boehm, Barry; Rombach, Hans Dieter; and Zelkowitz, Marvin V., "Foundations of Empirical Software Engineering: The Legacy of Victor R.Basili" (2005). The Harlan D. Mills Collection. http://trace.tennessee.edu/utk_harlan/36 This Book is brought to you for free and open access by the Science Alliance at Trace: Tennessee Research and Creative Exchange. It has been accepted for inclusion in The Harlan D. Mills Collection by an authorized administrator of Trace: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. -
The Great Methodologies Debate: Part 1
ACCESS TO THE EXPERTS The Journal of Information Technology Management December 2001 Vol. 14, No. 12 The Great Methodologies Debate: Part 1 Resolved “Today, a new debate rages: agile software Traditional methodologists development versus rigorous software are a bunch of process- development.” dependent stick-in-the-muds who’d rather produce flawless Jim Highsmith, Guest Editor documentation than a working system that meets business needs. Opening Statement Jim Highsmith 2 Rebuttal Lightweight, er, “agile” Agile Can Scale: Inventing and Reinventing methodologists are a bunch of SCRUM in Five Companies glorified hackers who are going to be in for a heck of a surprise Jeff Sutherland 5 when they try to scale up their “toys” into enterprise-level software. Agile Versus Traditional: Make Love, Not War! Robert L. Glass 12 Business Intelligence Methodologies: Agile with Rigor? Larissa T. Moss 19 Agility with the RUP Philippe Kruchten 27 Extreme Requirements Engineering Larry Wagner 34 Exclusion, Assumptions, and Misinterpretation: Foes of Collaboration Lou Russell 39 Opening Statement by Jim Highsmith In the early 1980s, I participated in rigorous software development. others be able to understand the one round of methodology debate. Agile approaches (Extreme similarities and differences and be Structured analysis and design Programming, Crystal Methods, able to apply the right mix to their champions such as Tom DeMarco, Lean Development, Feature-Driven own organization. Both the SEI and Ed Yourdon, and Tim Lister were Development, Adaptive Software Rational have made wonderful on one side of the debate, while Development, SCRUM, and contributions to software develop- data-driven design aficionados like Dynamic Systems Development ment, but it is important to Ken Orr, Jean-Dominique Warnier, Methodology) populate one camp. -
Watts S. Humphrey (1927-2010)
1 Watts S. Humppyhrey (1927-2010) Five lessons I learned from an inspiring leader Daniel M. Roy September 2011 PSP, TSP, Personal Software Process and Team Software Process are service marks of CMU CMM and Capability Maturity Model are registered in the U.S. patent and trademark office Myers-Briggs Type Indicator and MBTI are registered trademarks trademarks of Consulting Psychologists Press, Inc. Copyright © 2011 STPP, Inc. (Software Technology, Process & People) 2 My Watts connection Project leader at SEI 1990-1995 Cer tified th e F rench t ransl ati on of CMM material in 1993 Took the first PSP class at CMU from Watts in the winter of 1994 Copyright © 2011 STPP, Inc. (Software Technology, Process & People) 3 From CMM to PSP “My first class was a blessing in a way that I hdhad not expecte d. Three peop le from th e SEI were taking the course: Dan Roy, Julia MllMullaney (h(then Ju lia G a le) , and dJ Jim O ver. Subsequently, they all decided to work with me iiiihPSPilin transitioning the PSP intro general practice. They have been doing so ever si”ince.” Three process perspectives, WSH, 2001 Copyright © 2011 STPP, Inc. (Software Technology, Process & People) 4 My Watts connection Project leader at SEI 1990-1995 Cer tified th e F rench t ransl ati on of CMM material in 1993 Took the first PSP class at CMU from Watts in the winter of 1994 STPP created in May 1995 on his advice Invited Watts to Paris in October1995 Became SEI transition partner in 1997 Copyright © 2011 STPP, Inc. -
Extreme Programming from Wikipedia, the Free Encyclopedia
Create account Log in Article Talk Read Edit View history Search Extreme programming From Wikipedia, the free encyclopedia Main page Extreme programming (XP) is a software development methodology which is Contents intended to improve software quality and responsiveness to changing customer Featured content requirements. As a type of agile software development,[1][2][3] it advocates frequent Current events "releases" in short development cycles, which is intended to improve productivity Random article and introduce checkpoints at which new customer requirements can be adopted. Donate to Wikipedia Wikipedia store Other elements of extreme programming include: programming in pairs or doing Interaction extensive code review, unit testing of all code, avoiding programming of features Help until they are actually needed, a flat management structure, simplicity and clarity in About Wikipedia code, expecting changes in the customer's requirements as time passes and the Community portal problem is better understood, and frequent communication with the customer and Recent changes among programmers.[2][3][4] The methodology takes its name from the idea that the Contact page Planning and feedback loops in beneficial elements of traditional software engineering practices are taken to extreme programming. Tools "extreme" levels. As an example, code reviews are considered a beneficial What links here practice; taken to the extreme, code can be reviewed continuously, i.e. the practice Related changes Software development of pair programming. Upload file process Special pages Critics have noted several potential drawbacks,[5] including problems with Core activities Permanent link unstable requirements, no documented compromises of user conflicts, and a Requirements · Design · Construction · Testing · Debugging · Deployment · Page information lack of an overall design specification or document. -
SCALED AGILE @ SYSTEMS ENGINEERING How Two Seemingly Different Approaches to Solving a Problem Create Synergies in R&D and Increase Efficiency
SCALED AGILE @ SYSTEMS ENGINEERING How two seemingly different approaches to solving a problem create synergies in R&D and increase efficiency. SCALED AGILE @ SYSTEMS ENGINEERING I September 2020 Content 01 Introduction 6 02 What Do We Mean by Agility? 8 03 What Do We Mean by Systems Engineering? 10 04 The Synthesis, or: The Best of Both Worlds 14 INNOVATION 05 The Agile Systems Engineering Transformation 24 06 Outlook 28 FLEXIBILITY REACTION EFFECTIVENESS ADAPTIVITY 2 3 SCALED AGILE @ SYSTEMS ENGINEERING I September 2020 01 Introduction Agility and systems engineering are an integral part of employee motivation, R&D currently favors two models – sys- We know the theory and roles – how does the (lower sickness rates, higher employer attractiveness and lower responsive, flexible product development. tems engineering (SE) or the Scaled Agile Framework (SAFe®). practical implementation work? turnover), was not included due to inconsistent measurement Both models have their own strengths, but also reveal areas How can our processes and tools be tailored to SE methods used by the companies, but is a positive side effect. In recent decades, the business world has been character- that have not yet been taken into account and where further or agile methods? The following three main topics are distinguished for the ized by volatility, uncertainty, complexity and ambiguity – or potential can be tapped. Synchronization with organization – how do we implementation of the approach and will be described in more “VUCA,” as the concept is known for short. Driven by climate solve the link to other areas? detail later in the white paper. change and the ongoing pandemic, this has recently been The aim of this white paper is to present the profitable aspects Agility has only worked in software so far – how can supplemented by an additional acronym – “BANI,” which of both models in a joint synthesis and thus present a systems we scale the model? 1) Use of agile and systems engineering methods at stands for brittle, anxious, nonlinear and incomprehensible. -
Safe® 4.6 Glossary Scaled Agile Framework Terms and Defnitions English
SAFe® 4.6 Glossary Scaled Agile Framework Terms and Defnitions English PROVIDED BY www.scaledagileframework.com | www.scaledagile.com © Scaled Agile, Inc. Welcome to the SAFe® Glossary Make the Most of Your Learning SAFe Access the SAFe Community Platform Manage your member profle, join communities of practice, and access the member directory Prepare Yourself Prepare for certifcation with your learning plan: access your course workbook, study materials, and practice test prior to taking your certifcation exam Get Certifed SAFe Get certifed to achieve recognition of your skills and open the door to new career opportunities Showcase SAFe Certifcations Use your digital badge to view global job insights, track market labor data, and see where your skills are in demand community.scaledagile.com Guide to acronyms and abbreviations ART Agile Release Train PDCA Plan, Do, Check, Adjust BO Business Owner PI Program Increment BV Business Value PM Product Management BVIR Big Visual Information Radiator PO/PM Product Owner / Product Manager CapEx Capital Expenses PO Product Owner CD Continuous Delivery ROAM Resolved, Owned, Accepted, Mitigated CE Continuous Exploration RR Risk Reduction CI Continuous Integration RTE Release Train Engineer CFD Cumulative Flow Diagram S4T SAFe® for Teams CoD Cost of Delay SAFe® Scaled Agile Framework CoP Community of Practice SA SAFe® Agilist DoD Defnition of Done SBD Set-Based Design DSU Daily Stand-up SM Scrum Master EA Enterprise Architect SMART Specifc, Measurable, Achievable, EO Epic Owner Realistic, Time-bound -
The Role of Empirical Study in Software Engineering
The Role of Empirical Study in Software Engineering Victor R. Basili Professor, University of Maryland and Director, Fraunhofer Center - Maryland © 2004 Experimental Software Engineering Group, University of Maryland Outline • Empirical Studies – Motivation – Specific Methods – Example: SEL • Applications – CeBASE – NASA High Dependability Computing Project – The Future Combat Systems Project – DoE High Productivity Computing System 2 Motivation for Empirical Software Engineering Understanding a discipline involves building models, e.g., application domain, problem solving processes And checking our understanding is correct, e.g., testing our models, experimenting in the real world Analyzing the results involves learning, the encapsulation of knowledge and the ability to change or refine our models over time The understanding of a discipline evolves over time This is the empirical paradigm that has been used in many fields, e.g., physics, medicine, manufacturing Like other disciplines, software engineering requires an empirical paradigm 3 Motivation for Empirical Software Engineering Empirical software engineering requires the scientific use of quantitative and qualitative data to understand and improve the software product, software development process and software management It requires real world laboratories Research needs laboratories to observe & manipulate the variables - they only exist where developers build software systems Development needs to understand how to build systems better - research can provide models to help Research