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The Tao of SysML-30m

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0% found this document useful (0 votes)
25 views22 pages

The Tao of SysML-30m

Uploaded by

Miguel Martínez
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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The Tao of SysML

SysML的道
Dr. Bruce “Zen Master” Douglass, Ph.D.
Chief Evangelist
IBM IoT
Bruce.Douglass@us.ibm.com
www.Bruce-Douglass.com

© 2018 IBM Corporation


The Eightfold Path Wisdom

Right
Views

Right Right
Focus Intention

Right SysML Right

Mental
Mindfulness
的道 Speech

Discipline

Right Right
Effort Action
Ethical
Right Conduct
Livelihood

© 2018 IBM Corporation


2
Ethical Conduct: Right Speech
▪ Precision Modeling (Drawing ≠ Modeling)
▪ Use Diagrams Correctly
▪ Subset SysML

© 2018 IBM Corporation


3
Ethical Conduct: Right Action
▪ Build Semantically Complete Models
▪ Manage Your Models

Simplicity is the key to


brilliance
- Bruce Lee

© 2018 IBM Corporation


4
Semantically Complete For Purpose
Ask – What information is necessary?
Abstraction level
System scope?
Subsystem scope?
Design element scope?
Functionality – input-output control/data transformation Ask – Who needs this information?
Structure Stakeholders?
Precision
Accuracy
Designers?
Fidelity Testers?
Behavior Managers?

Ask – What outcomes does


this information support?

© 2018 IBM Corporation


5
Ethical Conduct: Right Livelihood
▪ Model Organization
▪ Verify Model Content

© 2018 IBM Corporation


6
Canonical Model Organization

Subdivided into nested subject-


oriented packages to store
reusable software types and
classes

© 2018 IBM Corporation


7
Right Livelihood: Verify Your Models

Semantic Verification
• “correct” (compliance in meaning)
Performed by engineering personnel
Three basic techniques
• Semantic review (subject matter expert & peer) –
most common, weakest means
• Testing – requires executability of work products,
impossible to fully verify
• Formal methods – strongest but hard to do and
subject to invariant violation
Syntactic Semantic
Validation
Verification Verification

Syntactic Verification
– “well-formed” (compliance in form) Validation
Performed by quality assurance personnel
• Audits – work tasks are performed as per plan • “meets the stakeholder need”
and guidelines Performed by customer + engineering
• Syntactic review – work products conform to Some common techniques
standard for organization, structure and format • Review – (subject matter expert & customer) –
most common, weakest
• Simulation – show simulated input → outputs
• Sandbox – exploratory usage in constrained
environment
• Flight test – demonstration of system capabilities
• Deployment – early usage of system of partial
capability © 2018 IBM Corporation
8
Mental Discipline: Right Focus
▪ Define Model Purpose and Scope
▪ Define Model Precision
▪ Define Abstraction Levels

The successful warrior is


the average man, with
laser-like focus
- Bruce Lee

© 2018 IBM Corporation


9
Managing Diagrammatic Complexity
▪ This diagram has too many level of abstraction and mixes type and containment taxonomies

© 2018 IBM Corporation


10 10
Mission 1: Overall Subsystem Architecture

© 2018 IBM Corporation


11
Mission 2: Subsystem Internal Architecture

© 2018 IBM Corporation


12
Mission 3: Subsystem Block Type Taxonomy

Note that I can link


together relevant
diagrams with
navigation
hyperlinks

© 2018 IBM Corporation


13
Mission 4: Instance Specifications of Architecture

© 2018 IBM Corporation


14
Wisdom: Right Mindfulness
▪ Avoid Defects
▪ Maintain External Consistency
▪ Manage Traceability
▪ Focus on Models Goals and Objectives

Concentration is the
root of all the higher
abilities in man

© 2018 IBM Corporation


15
It is better to avoid defects than to fix defects

Safety, Reliability
Year
& Security
Practices
Verification
Project
month Management
Customer
Validation practices
hour
Continuous Iterative
Verification SE
Modeling
Specification

Trade
Studies Nanocycle

Customer Architecting

Liaison
Practices
Iteration
Quality
Assurance
Project Practices
© 2018 IBM Corporation
16
16
Mental Discipline: Right Effort
▪ Identify and Remove Model Defects
▪ Hypothesis-Driven Modeling

© 2018 IBM Corporation


17
Hypothesis-Driven Modeling

Understand your objective

• “I think you mean this …”


Cast the solution in terms of • “I think you need this …”
a testable hypothesis
• “I think the system should do this …”

Determine how the • Verification method of the Reject


hypothesis will be modelled hypothesis Accept
accepted or rejected • Acceptance criteria

Model the hypothesis

Apply verification • Learn from the rejection


method • Use this information to
formulate a new hypothesis

Accept or Reject the


Hypothesis

© 2018 IBM Corporation


18
Mental Discipline: Right Views
▪ Each diagram should have a mission
▪ Specification vs Design Models

© 2018 IBM Corporation


19
Wisdom: Right Intentions
▪ Type-Role-Instance Dichotomy
▪ Useful Descriptions
▪ Right Conceptualization

© 2018 IBM Corporation


20
What’s a role?
▪ A role is a usage of an instance of a type in a context
▪ A type is a specification of a thing. The type only exists at design-time.

▪ An instance is something that exists at run-time

▪ A role is a usage of an instance of a type in a context. A role exists at design time


but is fulfilled at run-time by an instance (part). A part is a role where the context is
the owning classifier.

© 2018 IBM Corporation


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© 2018 IBM Corporation
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