Mike Cohn - Background
Planning and TrackingAgile Projects1Mike Cohn - background Mountain Goat Software, LLCMonday, March 19, 20072
Imagine. That you’re fed up with software developmentas a career And you decide to go into the landscapingbusiness Your first job ismoving this pile ofrock from thefront of my houseto the back Mountain Goat Software, LLC3How might you estimate this? One way: Look at the pile of rock and estimate how manywheelbarrow loads it representsAfter an hour, see howmany wheelbarrow loadsyou’ve moved thenextrapolate the totalduration I think that’s 80 wheelbarrow loads After an hour I’ve moved 20 loads So, I’ll be done in a total of 4 hours Mountain Goat Software, LLCMonday, March 19, 20074
Wheelbarrow LoadsMy landscaping80604020009001000110012001300Time Mountain Goat Software, LLC Mountain Goat Software, LLCMonday, March 19, 200756
The planning onion Mountain Goat Software, LLC7Relating the different planning levelsIteration BacklogIteration 2Iteration 1Product Backlog Mountain Goat Software, LLCMonday, March 19, 20078
An agile approach to planningReleaseFeedbackIterationFeedback Mountain Goat Software, LLC9AgendaEstimatingRelease planningBurndown charts Mountain Goat Software, LLCMonday, March 19, 200710
Story points Probably the most commonly used estimatingunit among agile teams today Name is derived from agile teams commonlyexpressing requirements as “user stories” Based on a combination of the size andcomplexity of the work Unitless but numerically relevant estimates A 10-point user story is expected to take twice aslong as a 5-point user story Mountain Goat Software, LLC11Consider these two piles of workWhat story point valuesmight we put on these? Mountain Goat Software, LLCMonday, March 19, 200712
Zoo pointsAssign “zoopoints” to thefollowing breeds Mountain Goat Software, LLC13Three key advantages Estimating in story points:1. Forces the use of relative estimating Studies have shown we’re better at this†2. Focuses us on estimating the size, not the duration We derive duration empirically by seeing how much wecomplete per iteration3. Puts estimates in units that we can add together Time based estimates are not additive†Lederer and Prasad, 1998. A Causal Model for Software Cost Estimating Error and Vicinanza et al.,1991. Software Effort Estimation: An Exploratory Study of Expert Performance. Mountain Goat Software, LLCMonday, March 19, 200714
Comparing apples to applesProduct BacklogSprint Backlog Mountain Goat Software, LLC15Planning poker for estimatingiterative approach to estimating, loosely based on Anwideband Delphi Steps1. Each estimator is given a deck of cards, each card has a2.3.4.5.6.valid estimate written on itCustomer/Product owner reads a story and it’s discussedbrieflyEach estimator selects a card that’s his or her estimateCards are turned over so all can see themDiscuss differences (especially outliers)Re-estimate until estimates converge Mountain Goat Software, LLCMonday, March 19, 200716
1Planning poker - an example28 13 203 5 Mountain Goat Software, LLC17Estimate these Mountain Goat Software, LLCMonday, March 19, 200718
Why planning poker works1Jørgensen, Magne. 2004. AReview of Studies on Expert Estimation of Software DevelopmentEffort.2Hagafors, R., and B. Brehmer. 1983. Does Having to Justify One’s Decisions Change the Nature ofthe Decision Process?3Brenner, et al. 1996. On the Evaluation of One-sided Evidence.4Miranda, Eduardo. 2001. Improving Subjective Estimates Using Paired Comparisons.5Saaty, Thomas. 1996. Multicriteria Decision Making: The Analytic Hierarchy Process. Mountain Goat Software, LLC19Why planning poker works6Hoest, Martin, andClaes Wohlin. 1998. An Experimental Study of Individual Subject
Planning and Tracking Agile Projects Mike Cohn - background Mounta
– Mike Cohn, Mountain Goat Software www.mountaingoatsoftware.com – Scrum and The Enterprise by Ken Schwaber – Succeeding with Agile by Mike Cohn – Agile Software Development Ecosystems by Jim Highsmith – Agile Software Development with Scrum by K. Schwaberand M. Beedle – User Stories Applied fo
The CSS background properties allow you to control the background color of an element, set an image as the background, repeat a background image vertically or horizontally, and position an image on a page. Properties include background, background-color, background-attachment, background-image, background
Dyer Well Drilling and Service, Inc. - Mike Dyer Mike Katz Well Drilling - Mike Katz Mike LaLone Well Drilling - Mike LaLone Maurer & Parks Well Drilling, Inc. - Jack and Scott Peru Mid State Oil Tools - Craig Machuta Lee Rich Well Drilling - Lee Rich Terry’s Well Service, Inc. - Terry Cords
PMI-SAC Professional Development Conference Mike Griffiths, PMP, ACP Leading Answers Inc. www.LeadingAnswers.com Presenter Background . (PMI's PMO Community of Practice with articles on agile projects) Ideas and Training -www.LeadingAnswers.com Contact Mike: Mike@LeadingAnswers.com
Project Report and Technical Documentation Thomas Jund info@jund.ch Andrew Mustun andrew@mustun.com Laurent Cohn info@cohn.ch 24th May 2004 Version 1.0. ii Abstract In this paper we present quaneko, a tool to e ciently nd data on the local computer system. The purpose of this document is the technical specication and description of the
Howard Bruce Hornstein, Sylvia Berken, Harry Berken remembered by Bonnie Benedek-Hornstein Nelly Berkowitz, Albert Berkowitz, MD, Isadore Lichter, MD, Jo Lichter, Mimi Berk, Myles Berk, MD, Lew Cohn, Elaine Cohn, Robert N. Berk, MD, Raymond Goldfarb, Annmarie Goldfarb, Bill Miller rem
Howard Bruce Hornstein, Sylvia Berken, Harry Berken remembered by Bonnie Benedek-Hornstein Nelly Berkowitz, Albert Berkowitz, MD, Isadore Lichter, MD, Jo Lichter, Mimi Berk, Myles Berk, MD, Lew Cohn, Elaine Cohn, Robert N. Berk, MD, Raymond Goldfarb, Annmarie Goldfarb, Bill Miller rem
Human Factors and Usability Engineering – Guidance on the regulation of Medical Devices Including Drug-device Combination Products in Great Britain Version 2.0 January 2021 . Human Factors and Usability Engineering – Guidance for Medical Devices Including Drug-device Combination Products MHRA September 2017 v1.0 Page 2 of 35 Contents 1 Introduction and context . 4 2 The regulatory .
