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A Science, Not an Art?
ESTIMATION
2015
Andy Kucharski
2
• CEO & Founder
• Promet Source:
• Drupal Development
& Support
• Chicago, IL.
“The typical software organization is not struggling to improve its estimates from +-10% to +-5%
accuracy. The typical software organization is struggling to avoid estimates that are incorrect by
100% or more.” -- Steve McConnell
What is this presentation about?
3
What is the presentation NOT about?
• Fundamentals (overlooked)
• Big Risk factors
• Selling your estimate (Team)
• 20%-100% over budget
• Specific estimates (content type)
• Magical formulas
• Fine tuning error from 20% to 5%
• Selling your estimate (client)
4
Agenda
What is the Problem with Software Estimation?1
2
3
Avoiding Risk
Estimation Techniques
What is the Problem with Software Estimation?
5
The greatest discrepancy between what the client thinks, an executive thinks, and
a developer thinks is often the definition of ESTIMATE
6
7
Estimates, Targets, and Commitments
1 Estimates
Prediction
• A Prediction of how
long a project will
take or how much it
will cost
2 Targets
Statement/Desire
• A Statement of a
desirable business
objective
3 Commitments
Promise
• A Promise to deliver
defined
functionality at a
specific level of
quality and by a
certain date
8
Estimates, Targets, and Commitments
2 3
Target
Commitment
Estimate
1
Cut From
Phase
Your best developer is not necessarily your best estimator
9
10
The Solution
Architect
About your unicorn:
• Knows the most about
Drupal
• Experience in
Ecommerce
Migration
Integration
Site building & Theming
• Understands business value
• Can magically debug
anything
Things that may be missing:
How fast can a DEVELOPER do the work?
How much time will be spent training, instructing,
reviewing, and doing oversight?
Avoiding unfounded optimism
What is the definition of a “GOOD” estimate?
11
90% confidence
12
After all, the process is called
Estimation, not Exactimation.
- Phillip Armour
What is the surface temperature of the
Sun? (Give a range in Fahrenheit)
Make your range wide enough
that you feel you are 90% confident
that your range includes the answer
10,000 Degrees F (9,941 F)
When given the option of a shorter average schedule with higher variability or a
longer average schedule with lower variability, 8 out of 10 executives will choose
the second option
13
90% confidence
14
How confident is 90% confident?
The average number of correct
answers was 2.8. Only 2% of quiz
takers scored 8 or more correctly.
Most peoples intuitive sense
of 90% confidence is in fact
closer to 30% confidence.
Software is not developed in a vacuum
15
16
EXTERNAL FACTORS ARE OFTEN UNACCOUNTED FOR
LESS EXPERIENCED
STAFF
STAFF NOT READY
REQUIREMENTS
REMOVED
STAFF DIVERTED TO
SUPPORT OLD
PROJECT
UNSTABLE
FUNCTIONALITY
REMOVED
SERVER NOT READY
STAFF DIVERTED
TO SUPPORT
TRADE SHOW
REQUIREMENTS
ADDED
17
Events that happen during the project nearly always invalidate the assumptions
that were used to estimate the project in the first place.
1
Functional
Assumptions
2
Staffing
Assumptions
3
Priority
Assumptions
4
Input
Assumptions
18
Project
Dynamics
The activities of a late or compressed
project create destructive “late-
project” dynamics that make the
project even WORSE than nominal.
More
Status
Meetings
Frequent Re-
estimation
Apologizing to
key customers
Preparing
interim
releases
More
discussion on
priority &
requirements
Fixing
problems that
arise from
quick and
dirty
workarounds
Going back to
the contract
19
Results
Results
Timelines Budgets
20
“Software does not have a neutral estimation problem. The industry data shows
clearly that the software industry has an underestimation problem.”
-- Steve McConnell
21
22
Avoiding Risk
Major Areas of Risk
23
• What kind of content
type/field/thing
• Scope w/o specs
• Specific definitions
• Setup Costs
• Management Costs
• Other (non-dev)
Costs
• 90% confidence
• Best Estimator
• Terminology
• External Factors
• Lack of end-user
involvement or
production owner
• Timeline
• Poor wires/design
Consider your project’s current position within the cone of uncertainty, this will help
you gauge the level of accuracy in your estimate.
24
25
The Cone of
Uncertainty
Initial Product
Concept
“I want a website”
Product
Definition
“I know the scope of
services”
Requirements
Complete
“I know the specs
of the project”
User Interface
Design
Complete
“I have wireframes”
Detailed Design
Complete
“I have full
documented specs
and design files”
Leverage the power of well defined products to move your way through the cone of
uncertainty
26
27
Products
Training
Workshops
Drupal Concept Education as
an entry into the product
Discovery Process
Discovery
Technical and UI/UX planning
for a large scale development
projects
Evaluation of the inner
workings of a current
Drupal site, for upgrade
and migration planning
Audits
Know when you are in a chaos project and how to reset
28
Chaos Projects
How does BAD go to TERRIBLE?
29
External
Factors
Re-estimation
or Planning
Poor Project
Dynamics
Pure Chaos
“Chaos projects introduce variability for each following step. The answer is not to
continue to re-estimate but instead address each issue through project control.”
NEVER, let your estimator forget (or your sales team remove) these important
activities
30
Omitted Activities
31
Management
• Stand ups, Contract review, Training, QA review
• Engagement Management, Staffing, Governance
Maintenance
• Updates, Upgrades, Deployments, Performance
• Configuration, Automation, Reviews
Setup
• Setup, Installation, Downloads, Builds
• Ramp-up, Kickoff, Onboarding, Accounting
Non-software
• Vacation, Holiday, Sick, Drupalcon
• Outages, Troubleshooting, Workstations
32
Estimation Techniques
Estimating “Things”
33
Lets assume that you are all
expert estimators and that all the
process and risk areas we have
spoken today you know
PERFECTLY how to avoid.
How many people are in this
room right now?
34
APPROACHES TO ESTIMATING “THINGS”
The Hobbyist
“I’m guessing
75 people”
The Factor
Guy
“15 rows 5
per row”
The Percentage
Guy
“150 person
capacity and its
half full”
The Data Guy
“The last 3
sessions have
had XX”
Judgement Count Compute Calibration
Count, Compute, Judge
35
Count if at all possible.
Compute when you can’t count.
Use Judgement alone only
as a last resort.
COUNT (& Calibrate)
Find something to count that has a direct
correlation to what you are building1
COMPUTE
Multiply by a statistically
meaningful (proven) average2
JUDGE
Only make assumptions
as a final option (document)3
• Click to edit Master text styles
Items to Consider
• Size of Project 5-25 people, 25-50, etc.
• Sequential vs. Scrum
• Stage of project
36
37
Common Items in these areas
1 2 3Count/Calibrate Compute Judge
Site Specs
Content types
Taxonomies
Menus
Views
Wireframes
Designs
Migration
“features”
Non-build items
QA
Deployment
Project Management
Training
Governance
Engagement Management
Adjustment Factors
Risk Multipliers
Contingency
Unknown
38
Count &
Calibrate
1) Determine an item that’s
highly correlated with the
size of the software
2) COUNT how many you
have
3) CALIBRATE your count
with data from
- Industry Data
- Historical Data
- Project Data
Factor Factor Count Calibration Gross Estimate
# Content Types 8 4 32
How many hours for feature “X”?
39
Compute
1) Determine a defined
value to base your
computation
2) Determine a multiplier
that is a statistically
meaningful average
3) COMPUTE subtotal for
your line item
Development Subtotal 1200 Hours
Subtotal PM % PM SubTotal
1200 20% 240
How many hours for Project Management?
40
Judgement
1) JUDGE the rating of a
specific multiplier (factor)
2) Apply multipliers based
on rating of your estimate
3) Determine factors
influence on the total
project
4) COMPUTE
Site Build PM %
Gross
Estimate
Rating Influence
Net
Estimate
1200 240 1440 Low = 1.25 1.1 1980
Site Building Definition 2.0 1.25 1.0 .95 .85 .75 1.1
Overcoming Judgement
41
Judgement is the most
hazardous kind of estimation
due to subjectivity and
unfounded optimism.
Magnitude of Relative Error
MRE = (Actual Result - Estimated) / (Actual)
Expected Case
EC = (Best Case + (3 x Most Likely Case) + (2 x Worst Case)) / 6
Wide Delphi Method
• Coordinator presents each expert with a specification and an estimation form.
• Coordinator calls a group meeting in which the experts discuss estimation issues with the coordinator and each
other.
• Experts fill out forms anonymously.
• Coordinator prepares and distributes a summary of the estimates
• Coordinator calls a group meeting, specifically focusing on having the experts discuss points where their
estimates vary widely
• Experts fill out forms, again anonymously, and steps 4 to 6 are iterated for as many rounds as appropriate.
42
Subtitle for slide
Guide for Standardized Estimation Procedure
• Focus on counting and computing when possible, rather than using judgment - create tools to facilitate this and
make it easy
• Encourage multiple estimation approaches and comparison of results
• Define toll gates and encourage re-estimation over the course of a project
• Contains a clear description of an estimate’s inaccuracy
• Defines when an estimate can be used as the basis for a project budget
• Defines when an estimate can be used as the basis for internal and external commitments
• Calls for archiving estimation data and reviewing effectiveness of the procedure
• McConnell, Steve (2006-02-22). Software Estimation: Demystifying the Black Art (Developer Best Practices)
(Kindle Locations 5142-5149). Pearson Education. Kindle Edition.
43
To Learn More...
44
Software Estimation:
Demystifying the Black
Art
Steve McConnell
Thank You
45
CHICAGO, ILLINOIS
1802 W. Berteau Ave. / Suite 209 / Chicago IL, 60613
773-525-8255
D.O / Twitter
@akucharski or @prometsource
Email:
andy@prometsource.com
46
47
Estimation Techniques
Calibration and Historical Data
T-Shirt Sizing
Wideband Delphi Technique
Results
Costs
48

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Estimation - web software development estimation DrupalCon and DrupalCamp presentation

  • 1. A Science, Not an Art? ESTIMATION 2015
  • 2. Andy Kucharski 2 • CEO & Founder • Promet Source: • Drupal Development & Support • Chicago, IL.
  • 3. “The typical software organization is not struggling to improve its estimates from +-10% to +-5% accuracy. The typical software organization is struggling to avoid estimates that are incorrect by 100% or more.” -- Steve McConnell What is this presentation about? 3 What is the presentation NOT about? • Fundamentals (overlooked) • Big Risk factors • Selling your estimate (Team) • 20%-100% over budget • Specific estimates (content type) • Magical formulas • Fine tuning error from 20% to 5% • Selling your estimate (client)
  • 4. 4 Agenda What is the Problem with Software Estimation?1 2 3 Avoiding Risk Estimation Techniques
  • 5. What is the Problem with Software Estimation? 5
  • 6. The greatest discrepancy between what the client thinks, an executive thinks, and a developer thinks is often the definition of ESTIMATE 6
  • 7. 7 Estimates, Targets, and Commitments 1 Estimates Prediction • A Prediction of how long a project will take or how much it will cost 2 Targets Statement/Desire • A Statement of a desirable business objective 3 Commitments Promise • A Promise to deliver defined functionality at a specific level of quality and by a certain date
  • 8. 8 Estimates, Targets, and Commitments 2 3 Target Commitment Estimate 1 Cut From Phase
  • 9. Your best developer is not necessarily your best estimator 9
  • 10. 10 The Solution Architect About your unicorn: • Knows the most about Drupal • Experience in Ecommerce Migration Integration Site building & Theming • Understands business value • Can magically debug anything Things that may be missing: How fast can a DEVELOPER do the work? How much time will be spent training, instructing, reviewing, and doing oversight? Avoiding unfounded optimism
  • 11. What is the definition of a “GOOD” estimate? 11
  • 12. 90% confidence 12 After all, the process is called Estimation, not Exactimation. - Phillip Armour What is the surface temperature of the Sun? (Give a range in Fahrenheit) Make your range wide enough that you feel you are 90% confident that your range includes the answer 10,000 Degrees F (9,941 F)
  • 13. When given the option of a shorter average schedule with higher variability or a longer average schedule with lower variability, 8 out of 10 executives will choose the second option 13
  • 14. 90% confidence 14 How confident is 90% confident? The average number of correct answers was 2.8. Only 2% of quiz takers scored 8 or more correctly. Most peoples intuitive sense of 90% confidence is in fact closer to 30% confidence.
  • 15. Software is not developed in a vacuum 15
  • 16. 16 EXTERNAL FACTORS ARE OFTEN UNACCOUNTED FOR LESS EXPERIENCED STAFF STAFF NOT READY REQUIREMENTS REMOVED STAFF DIVERTED TO SUPPORT OLD PROJECT UNSTABLE FUNCTIONALITY REMOVED SERVER NOT READY STAFF DIVERTED TO SUPPORT TRADE SHOW REQUIREMENTS ADDED
  • 17. 17 Events that happen during the project nearly always invalidate the assumptions that were used to estimate the project in the first place. 1 Functional Assumptions 2 Staffing Assumptions 3 Priority Assumptions 4 Input Assumptions
  • 18. 18 Project Dynamics The activities of a late or compressed project create destructive “late- project” dynamics that make the project even WORSE than nominal. More Status Meetings Frequent Re- estimation Apologizing to key customers Preparing interim releases More discussion on priority & requirements Fixing problems that arise from quick and dirty workarounds Going back to the contract
  • 21. “Software does not have a neutral estimation problem. The industry data shows clearly that the software industry has an underestimation problem.” -- Steve McConnell 21
  • 23. Major Areas of Risk 23 • What kind of content type/field/thing • Scope w/o specs • Specific definitions • Setup Costs • Management Costs • Other (non-dev) Costs • 90% confidence • Best Estimator • Terminology • External Factors • Lack of end-user involvement or production owner • Timeline • Poor wires/design
  • 24. Consider your project’s current position within the cone of uncertainty, this will help you gauge the level of accuracy in your estimate. 24
  • 25. 25 The Cone of Uncertainty Initial Product Concept “I want a website” Product Definition “I know the scope of services” Requirements Complete “I know the specs of the project” User Interface Design Complete “I have wireframes” Detailed Design Complete “I have full documented specs and design files”
  • 26. Leverage the power of well defined products to move your way through the cone of uncertainty 26
  • 27. 27 Products Training Workshops Drupal Concept Education as an entry into the product Discovery Process Discovery Technical and UI/UX planning for a large scale development projects Evaluation of the inner workings of a current Drupal site, for upgrade and migration planning Audits
  • 28. Know when you are in a chaos project and how to reset 28
  • 29. Chaos Projects How does BAD go to TERRIBLE? 29 External Factors Re-estimation or Planning Poor Project Dynamics Pure Chaos “Chaos projects introduce variability for each following step. The answer is not to continue to re-estimate but instead address each issue through project control.”
  • 30. NEVER, let your estimator forget (or your sales team remove) these important activities 30
  • 31. Omitted Activities 31 Management • Stand ups, Contract review, Training, QA review • Engagement Management, Staffing, Governance Maintenance • Updates, Upgrades, Deployments, Performance • Configuration, Automation, Reviews Setup • Setup, Installation, Downloads, Builds • Ramp-up, Kickoff, Onboarding, Accounting Non-software • Vacation, Holiday, Sick, Drupalcon • Outages, Troubleshooting, Workstations
  • 33. Estimating “Things” 33 Lets assume that you are all expert estimators and that all the process and risk areas we have spoken today you know PERFECTLY how to avoid. How many people are in this room right now?
  • 34. 34 APPROACHES TO ESTIMATING “THINGS” The Hobbyist “I’m guessing 75 people” The Factor Guy “15 rows 5 per row” The Percentage Guy “150 person capacity and its half full” The Data Guy “The last 3 sessions have had XX” Judgement Count Compute Calibration
  • 35. Count, Compute, Judge 35 Count if at all possible. Compute when you can’t count. Use Judgement alone only as a last resort. COUNT (& Calibrate) Find something to count that has a direct correlation to what you are building1 COMPUTE Multiply by a statistically meaningful (proven) average2 JUDGE Only make assumptions as a final option (document)3
  • 36. • Click to edit Master text styles Items to Consider • Size of Project 5-25 people, 25-50, etc. • Sequential vs. Scrum • Stage of project 36
  • 37. 37 Common Items in these areas 1 2 3Count/Calibrate Compute Judge Site Specs Content types Taxonomies Menus Views Wireframes Designs Migration “features” Non-build items QA Deployment Project Management Training Governance Engagement Management Adjustment Factors Risk Multipliers Contingency Unknown
  • 38. 38 Count & Calibrate 1) Determine an item that’s highly correlated with the size of the software 2) COUNT how many you have 3) CALIBRATE your count with data from - Industry Data - Historical Data - Project Data Factor Factor Count Calibration Gross Estimate # Content Types 8 4 32 How many hours for feature “X”?
  • 39. 39 Compute 1) Determine a defined value to base your computation 2) Determine a multiplier that is a statistically meaningful average 3) COMPUTE subtotal for your line item Development Subtotal 1200 Hours Subtotal PM % PM SubTotal 1200 20% 240 How many hours for Project Management?
  • 40. 40 Judgement 1) JUDGE the rating of a specific multiplier (factor) 2) Apply multipliers based on rating of your estimate 3) Determine factors influence on the total project 4) COMPUTE Site Build PM % Gross Estimate Rating Influence Net Estimate 1200 240 1440 Low = 1.25 1.1 1980 Site Building Definition 2.0 1.25 1.0 .95 .85 .75 1.1
  • 41. Overcoming Judgement 41 Judgement is the most hazardous kind of estimation due to subjectivity and unfounded optimism. Magnitude of Relative Error MRE = (Actual Result - Estimated) / (Actual) Expected Case EC = (Best Case + (3 x Most Likely Case) + (2 x Worst Case)) / 6
  • 42. Wide Delphi Method • Coordinator presents each expert with a specification and an estimation form. • Coordinator calls a group meeting in which the experts discuss estimation issues with the coordinator and each other. • Experts fill out forms anonymously. • Coordinator prepares and distributes a summary of the estimates • Coordinator calls a group meeting, specifically focusing on having the experts discuss points where their estimates vary widely • Experts fill out forms, again anonymously, and steps 4 to 6 are iterated for as many rounds as appropriate. 42
  • 43. Subtitle for slide Guide for Standardized Estimation Procedure • Focus on counting and computing when possible, rather than using judgment - create tools to facilitate this and make it easy • Encourage multiple estimation approaches and comparison of results • Define toll gates and encourage re-estimation over the course of a project • Contains a clear description of an estimate’s inaccuracy • Defines when an estimate can be used as the basis for a project budget • Defines when an estimate can be used as the basis for internal and external commitments • Calls for archiving estimation data and reviewing effectiveness of the procedure • McConnell, Steve (2006-02-22). Software Estimation: Demystifying the Black Art (Developer Best Practices) (Kindle Locations 5142-5149). Pearson Education. Kindle Edition. 43
  • 44. To Learn More... 44 Software Estimation: Demystifying the Black Art Steve McConnell
  • 45. Thank You 45 CHICAGO, ILLINOIS 1802 W. Berteau Ave. / Suite 209 / Chicago IL, 60613 773-525-8255 D.O / Twitter @akucharski or @prometsource Email: andy@prometsource.com
  • 46. 46
  • 47. 47 Estimation Techniques Calibration and Historical Data T-Shirt Sizing Wideband Delphi Technique

Editor's Notes

  1. Problems: Common misconceptions or thought provoking statements Avoiding Risk: Lessons learned Techniques: Very high overview of where to get started
  2. This may be the number one issue that organizations have when internally discussing project costs
  3. -- This may be the number one issue that organizations have when internally discussing project costs -- understanding the differences in these terms can greatly reduce internal tension when it comes to pricing a project and setting developer expectations
  4. “5 months! we need this ready in 3 months” “Here is what we can deliver in 3 months” “well i have to have this one piece you didnt include. Lets add that and settle on 4 months”
  5. -- In fact, no one is going to be good at estimating something NEW
  6. “well be more effective on this project than the last time we did this” “A lot of things went wrong last project when it took us longer to do this item” “We started the project slowly due to a learning curve, but now will have a faster velocity with the same team” -- In fact, no one is going to be good at estimating something NEW -- The best estimator is often the one with access to the most historical data and comparables
  7. -- Activity time! year Alexander the Great was born Total volume of great lakes 5,493 Year and month of registration of 231557 - Feb 2008
  8. -- Even more shocking! -- Why dont we ask? Why do we continue to give handouts before they are asked for -- Because we dont have these reasons we just discussed to arm ourselves in those conversations!
  9. -- This test was given in many industries, many question types, many people -- The results are staggering -- 10 questions means you should have 9 right -- Of the people with 7 or 8 right they claimed afterwards that their ranges are too wide, thats how they did well -- They felt BAD about their estimate -- We are conditioned to believe that estimates expressed as narrow ranges are more accurate or appealing than estimates with wider ranges. We believe wider ranges make us appear ignorant or incompetent.
  10. -- We are laughing because we KNOW these happen on almost all projects -- Even if you do not pass all these costs onto the client, they MUST be accounted for 1Staff not ready when planned 2Less experienced staff than planned 3requirements removed 4staff divered to support old project 5staff diverted to support trade show 6more requirements added 7unstable funcality removed 8Server hardware not setup to support pre-prod testing
  11. -- There isnt a 3rd party data lookup to support functionality. There isnt exact department definition of all content. There are events that start at 15 min after or 45 min after an hour. -- SA got put on another project that closed first -- supporting past project is higher priority -- Wireframes delivered at a different time. Client didnt complete their rebranding in time for design phase
  12. Use example of a project that has an issue, that starts to delay a project Project Dynamics aren’t considered or are ignored --
  13. -- if you cant see this --- showing that most projects are delivered late, very few on time, and non ahead of schedule --- shows that only 20% of projects are on time AND on budget, 50% are late or over, 30% FAIL The Seattle Mariners’ new baseball stadium was estimated in 1995 to cost $ 250 million. It was finally completed in 1999 at a cost of $ 517 million— an estimation error of more than 100% (Withers 1999). The most massive cost overrun in recent times was probably Boston’s Big Dig highway construction project. Originally estimated to cost $ 2.6 billion, costs eventually totaled about $ 15 billion— an estimation error of more than 400% (Associated Press 2003). Of course, the software world has its own dramatic estimation problems. The Irish Personnel, Payroll and Related Systems (PPARS) system was cancelled after it overran its € 8.8 million system by € 140 million (The Irish Times 2005). The FBI’s Virtual Case File (VCF) project was shelved in March 2005 after costing $ 170 million and delivering only one-tenth of its planned capability (Arnone 2005). The software contractor for VCF complained that the FBI went through 5 different CIOs and 10 different project managers, not to mention 36 contract changes (Knorr 2005). McConnell, Steve (2006-02-22). Software Estimation: Demystifying the Black Art (Developer Best Practices) (Kindle Locations 1191-1199). Pearson Education. Kindle Edition. http://www.dispatch.com/content/stories/local/2014/12/06/daunting-drilling.html Project to bore tunnel under Columbus faces $29.5 million cost overrun The $26 million custom machine, like something out of science fiction, was built to drill through mostly dry bedrock. But city engineers’ estimate of water levels didn’t account for millions of gallons of water that travel underground, below the Scioto River. Instead of grinding through dry rock, Marsha was choking on a water/rock/mud mixture called slurry, which is kind of like wet concrete.
  14. -- Let this sink in -- All the data out there CLEARLY supports that we are drastically underestimating our projects **** this doesnt mean we have to price differently -- we need this info for expectation setting, true costing, and predicting how things are going to go -- ideally we would also learn to pass on some of these costs to the client
  15. -- discussed #1 -- Estimation process is a large portion of the risk of estimation. (that is why we spent the most time just talking about it) -- Would like to move into a few of the other areas in less detail and discuss some lessons learned
  16. This is about Project Info or project specs
  17. This is about Project Info or project specs
  18. This is also about project info
  19. this is also about project info -- this is a great way to NARROW your cone of uncertainty through paid services/products -- get paid to lower your estimation risk
  20. Project chaos -- discussed partially earlier regarding project dynamics and external factors
  21. Project chaos -- discussed partially earlier regarding project dynamics and external factors -- “we are past the hard part now our velocity will increase” -- Understanding how to “pause and restart” is key to keeping your estimates meaningful -- AVOID THE SPIRAL “how the heck did we get here” at the end of your project
  22. Omitted activities is a very common mistake -- even worse is when they are REMOVED -- Dont reduce your estimators estimate, we just proved before that it is OFTEN already too optimistic
  23. Omitted activities is a very common mistake -- even worse is when they are REMOVED -- Dont reduce your estimators estimate, we just proved before that it is OFTEN already too optimistic -- doesnt mean you have to have the client pay for these all
  24. 72% of software projects were reported to be done by “expert opinion” also known as judgement
  25. https://en.wikipedia.org/wiki/Wideband_delphi
  26. EVALUATIONS
  27. Calibraion - discuss the example of similar project T-Shirt Sizing
  28. -- The COST of underestimation is exponentially worse than the COST of overestimation (parkinsons Law -- is a predicable loss)