Real World Agile at Agile in the City London

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Equal Experts

Talk given by Phil Parker (Partner at Equal Experts) at Agile in the City: London, Thursday 16th June, 2016.

Software

@parker0phil
WORLD
AGILE
CITYin
the
LONDON
REAL
AGILE

“DOING AGILE”
@parker0phil
“FULLY AGILE!”

@parker0phil
"It is desirable for
candidates to have
Agile certificates"
"Owns the delivery
of User Stories…
assigned to his/her
team"

@parker0phil
Mode Decisions
Test Sprints
Acceptance Management

1. a formal religious or sacred observance; a solemn rite:
2. strict adherence to conventional forms; formality:
3. any formal act or observance,
Ceremony
@parker0phil
[ser-uh-moh-nee]
especially a meaningless one

Ready In Progress Awaiting Release
2 / 5 2 5
As a Product Owner
I Want my Product Now
So That I don’t sack youLorem
ipsum
dolor sit
amet
@parker0phil
As a Product Owner
I Want my Product Now
So That I don’t sack you
As a Product Owner
I Want my Product Now
So That I don’t sack you
As a Product Owner
I Want my Product Now
So That I don’t sack you
As a Product Owner
I Want my Product Now
So That I don’t sack you
As a Product Owner
I Want my Product Now
So That I don’t sack you

@parker0phil
Scrum of Scrums
1
Dependencies
2
Assistance

@parker0phil
WHO?
WHAT?
WHY?
- How will we know
- once “what” is done
- Whether the “why”
- Of the “who” is solved

@parker0phil
Progress Report
PROMOTE
your
Product
Compelling
scenarios
from
perspective
of user
Let others
get
EXCITED
about your
Product

@parker0phil
8 6
How
comfortable
RECEIVING
feedback?
How
comfortable
GIVING
feedback?

@parker0phil
X
Receiving fb x
X x
X x X X
1 2 3 4 5 6 7 8 9 10
x X x x
giving fb X X X
x

@parker0phil
4 AGILE
ENGINEERING
PRACTICES

@parker0phil
Common engineering
thingies that may aid
agility, some of which
were made popular by
Extreme Programming (XP)

@parker0phil
Mobbing
All the brilliant people
working on the same
thing, at the same time, in
the same space, and on
the same computer

@parker0phil
PreparatoryHygiene Exploratory

@parker0phil
● Deployable throughout its lifecycle
● Prioritise deployability over new
features
● Automated feedback on readiness
● Push-button deploy of any version to
any environment on demand
✓
✓
✓
✓

@parker0phil
AutomationCollaboration
a ready feature can be put in front of
real customers at little notice, with no panic

@parker0phil
LeSS SaFE DADThe LeSS SaFE DADs!

@parker0phil
Individuals and Interactions
Satisfy the customer
Self organizing teams
Responding to change
Robert C. Martin

@parker0phil
Individuals and Interactions
Satisfy the customer
Self organizing teams
Responding to change
Robert C. Martin
by itdoing

@parker0phil
We are uncovering better
ways of developing
software by doing it and
helping others do it.

@parker0phil
Simplicity Technical Excellence
Motivated individuals Self-organizing teams
Work together daily Face-to-face conversation
Sustainable Development
Satisfy the customer through early and
continuous delivery of valuable software
Responding to change

@parker0phil
THANK
YOU!!!
AGILE
CITYin
the
LONDON

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Data spaces in distributed environments should be allowed to evolve in agile ways providing data space owners with large flexibility about which data they store. Agility and heterogeneity, however, jeopardize data exchanges because representations may build on varying ontologies and data consumers may not rely on the semantic correctness of their queries in the context of semantically heterogeneous, evolving data spaces. Graph data spaces are one example of a powerful model for representing and querying data whose semantics may change over time. To assert and enforce conditions on individual graph data spaces, shape languages (e.g SHACL) have been developed. We investigate the question of how querying and programming can be guarded by reasoning over SHACL constraints in a distributed setting and we sketch a picture of how a future landscape based on semantically heterogeneous data spaces might look like.

Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...

Steffen Staab

Unlocking the Future of AI Agents with Large Language Models

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Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...

Unlocking the Future of AI Agents with Large Language Models

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