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Agile Model-Based Systems Engineering Cookbook Second Edition
Agile Model-Based Systems Engineering Cookbook Second Edition

Agile Model-Based Systems Engineering Cookbook Second Edition: Improve system development by applying proven recipes for effective agile systems engineering , Second Edition

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Agile Model-Based Systems Engineering Cookbook Second Edition

Recipes in this chapter

  • Functional Analysis with Scenarios
  • Functional Analysis with Activities
  • Functional Analysis with State Machines
  • Functional Analysis with User Stories
  • Model-Based Safety Analysis
  • Model-Based Threat Analysis
  • Specifying Logical System Interfaces
  • Creating the Logical Data Schema

This chapter contains recipes to do with the capturing and analysis of requirements. The first four recipes are alternative ways to achieve essentially the same thing. Functional analysis generates high-quality requirements, use cases, and user stories – all means to understand what the system must be.

By “high-quality requirements,” I mean requirements focused on a use case that are demonstrably:

  • Complete
  • Accurate
  • Correct
  • Consistent
  • Verifiable

The problem is that natural language is ambiguous, imprecise, and only weakly verifiable. Keeping the human-readable text...

Why aren’t textual requirements enough?

There are many reasons why textual requirements by themselves fail to result in usable, high-quality systems.

First, it is difficult to ensure all the functionality is present:

  • All normal (sunny day) functionality?
  • All edge-cases?
  • All variations of inputs, sequences, and timings?
  • All exception, error, and fault cases?
  • Qualities of service such as performance, range, precision, timing, safety, security, and reliability?
  • All stakeholders appropriately represented?

Getting that much detail is a daunting task indeed. But even beyond that, there is an “air gap” between realizing a possibly huge set of “shall” statements and actually meeting the stakeholder needs. The stakeholder believes that if the system performs a specific function, then in practice, their needs will be met. Experience has shown that this is not always true. Customers often ask for features...

Definitions

Before we get into the recipes, let’s agree on common terms.

Requirement

A stakeholder requirement is a statement of what a stakeholder needs. A system requirement is a statement of what the system must do to satisfy a stakeholder’s need. We will focus on system requirements in this chapter. Normally, requirements are written in an active voice using the shall keyword to indicate a normative requirement, as in

The system shall move the robot arm to comply with the user directive.

Actor

An actor is an element outside the scope of the system we are specifying that has interactions with the system that we care about. Actors may be human users, but they can also be other systems, software applications, or environments.

Use case

...

Functional Analysis with Scenarios

As stated in the chapter introduction, functional analysis is a means to both capture and improve requirements through analysis. In this case, we’ll begin with scenarios as a way to elicit the scenarios from the stakeholder and create the requirements from those identified interactions. We then develop an executable model of the requirements that allows us to verify that the requirements interact how we expect them to, identify missing requirements, and perform “what-if” analyses for additional interactions.

Purpose

The purpose of this recipe is to create a high-quality set of requirements by working with the stakeholders to identify and characterize interactions of the system with its actors. This is particularly effective when the main focus of the use case is the interaction between the actors and the system, or when trying to gather requirements from non-technical stakeholders.

Inputs and preconditions

...

Functional analysis with activities

Functional analysis can be performed in subtly different ways. In the previous recipe, we started with the sequence diagram to analyze the use case. That is particularly useful when the interesting parts of the use case are the interactions. The workflow in this recipe is slightly different, although it achieves exactly the same objectives. This workflow starts with the development of an activity model and generates scenarios from that. In this recipe, just as in the previous one, when the work is all complete, it is the state machine that forms the normative specification of the use case; the activity diagram is used as a stepping stone along the way. The objective of the workflow, as with the previous recipe, is to create an executable model to identify and fix defects in the requirements, such as missing requirements, or requirements that are incomplete, incorrect, or inaccurate. Overall, this is the most favored workflow among model-based systems...

Functional analysis with state machines

Sometimes beginning with the state machine is the best approach to do use case analysis. This is particularly true when the use case is obviously “modal” in nature with different operational modes. This approach generally requires systems engineers who are very comfortable with state machines. The recipe is much like the previous use case analyses and can be used instead; the output is basically the same for all three of these recipes.

The primary differences are that no activity diagram is created and the sequence diagrams are created from the executing use case state behavior.

Purpose

The purpose of the recipe is to create a set of high-quality requirements by identifying and characterizing the key system functions performed by the system during the execution of the use case capability. This recipe is particularly effective when the use case is clearly modal in nature and the system engineers are highly skilled...

Functional Analysis with User Stories

The other functional analysis recipes in this chapter are fairly rigorous and use executable models to identify missing and incorrect requirements. User stories can be used for simple use cases that don’t have complex behaviors. In the other functional analysis recipes, validation of the use case requirements can use a combination of subject matter expert review, testing, and even formal mathematical analysis prior to their application to the system design. User stories only permit validation via review and so are correspondingly harder to verify as complete, accurate, and correct.

A little bit about user stories

User stories are approximately equivalent to scenarios in that both scenarios and user stories describe a singular path through a use case. Both are “partially constructive” in the sense that individually, they only describe part of the overall use case. User stories do it with natural language text, while...

Model-Based Safety Analysis

The term safety can be defined as freedom from harm. Safety is one of the three pillars of the more general concern of system dependability. Safety is generally considered with respect to the system causing or allowing physical harm to persons, up to and including death. Depending on the industry, different systems must conform to different safety standards, such as DO-178 (airborne software), ARP4761 (aerospace systems), IEC 61508 (electronic systems), ISO 26262 (automotive safety), IEC 63204 and IEC 60601 (medical), and EN50159 (railway), just to name a few. While there is some commonality among the standards, there are also a number of differences that you must take into account when developing systems to comply with those standards.

The recipe in this chapter provides a generic workflow applicable to all these standards but you may want to tailor it to your specific needs. Note that we recommend this analysis is done on a per-use case basis so...

Hazard analysis

There is normally one FTA diagram per identified hazard, although that FTA can be decomposed into multiple FTA diagrams (although the Cameo profile lacks the transfer operator from the FTA standard, there are other means to accomplish this decomposition). A system, however, normally has multiple hazards. These are summarized into a hazard analysis. A hazard analysis summarizes the hazard-relevant metadata, including the hazard name, description, severity, likelihood, risk, tolerance time, and possibly, related safety-relevant requirements, and design elements.

It should be noted that safety analysis is a rich and deep topic, the details of which are beyond the scope of this book. In this recipe, we will provide a simple FTA-based approach for performing safety analysis.

Purpose

The purpose of this recipe is to create a set of safety-relevant requirements for the system under development by analyzing safety needs.

Inputs and preconditions

A use...

Model-Based Threat Analysis

It used to be that most systems were isolated and disconnected; the only way to attack such a system required physical presence. Those days are long gone.

These days, most systems are internet-enabled and connected via apps to cloud-based servers and social media. This presents opportunities to attack these systems, compromise their security, violate their privacy, steal their information, and cause damage through malicious software.

Unfortunately, little has been done to protect systems in a systematic fashion. The most common response I hear when consulting is “Security. Yeah, I need me some of that,” and the issue is ignored thereafter. Sometimes, some thought is given to applying security tests ex post facto, or perhaps doing some code scans for software vulnerabilities, but very little is done to methodically analyze a system from a cyber-physical security posture standpoint. This recipe addresses that specific need.

Basics...

Specifying Logical System Interfaces

System interfaces identify the sets of services, data, and flows into and out of a system. By logical interfaces, we mean abstract interfaces that specify the content and precision of the flows but not their physical realization. For example, a system interface to a radar might include a message herezaRadarTrack(r: RadarTrack) as a SysML event carrying a radar track as a parameter without specifying what communication means will be used, let alone the bit-mapped structure of the realizing 1553 Bus message. Nevertheless, the specification of the interface allows us to consider the set of services requested of the system by actors, the set of services needed by the system from actors, and the physical and information flow across the system boundary.

The initial set of interfaces is a natural outcome of use case analysis. Each use case characterizes a set of interactions of the system with a group of actors for a similar purpose. These interactions...

Creating the Logical Data Schema

A big part of the specification of systems is specifying the inputs and outputs of the system as well as what information a system must retain and manage. The input and outputs are data or flows and may be direct flows or may be carried via service requests or responses. Early in the system engineering process, the information captured about these elements is logical. The definition of a logical schema is provided below, along with a set of related definitions.

Definitions

Data Schema: a data or type model of a specific problem domain that includes blocks, value properties, value types, dimensions, units, their relations, and other relevant aspects collectively known as metadata. This model includes a type model consisting of a set of value types, units, and dimensions, and a usage model showing the blocks and value properties that use the type model.

Logical Schema: a data schema expressed independently from its ultimate implementation...

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Key benefits

  • Use this updated edition to learn how Agile and MBSE work iteratively and overcome system complexity
  • Develop key systems engineering products and achieve enterprise objectives with step-by-step recipes
  • Build efficient system engineering models using tried and trusted best practices

Description

Agile MBSE can help organizations manage change while ensuring system correctness and meeting customers’ needs. But deployment challenges have changed since our first edition. The Agile Model-Based Systems Engineering Cookbook’s second edition focuses on workflows – or recipes – that will help MBSE practitioners and team leaders address practical situations that are part of deploying MBSE as part of an agile development process across the enterprise. In this 2nd edition, the Cameo MagicDraw Systems Modeler tool – the most popular tool for MBSE – is used in examples (models are downloadable by readers). Written by a world-renowned expert in MBSE, this book will take you through systems engineering workflows in the Cameo Systems Modeler SysML modeling tool and show you how they can be used with an agile and model-based approach. You’ll start with the key concepts of agile methods for systems engineering. Next, each recipe will take you through initiating a project, outlining stakeholder needs, defining and analyzing system requirements, specifying system architecture, performing model-based engineering trade studies, all the way to handling systems specifications off to downstream engineering. By the end of this MBSE book, you’ll learn how to implement systems engineering workflows and create systems engineering models.

Who is this book for?

If you are a systems engineer who wants to pursue model-based systems engineering in an agile setting, this book will show you how you can do that without breaking a sweat. Fundamental knowledge of SysML is necessary; the book will teach you the rest.

What you will learn

  • Learn how to apply modelling to create and manage important engineering data
  • Apply agile methods to develop systems engineering specifications
  • Communicate decisions with downstream subsystem implementation teams
  • Coordinate with engineers from other disciplines
  • Apply MBSE practices to problems within simple systems or large systems
  • Ensure accurate systems models via tests, simulation, and verification

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Publication date : Dec 30, 2022
Length: 600 pages
Edition : 2nd
Language : English
ISBN-13 : 9781803234304
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Publication date : Dec 30, 2022
Length: 600 pages
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Table of Contents

7 Chapters
Basics of Agile Systems Modeling Chevron down icon Chevron up icon
System Specification Chevron down icon Chevron up icon
Developing System Architectures Chevron down icon Chevron up icon
Handoff to Downstream Engineering Chevron down icon Chevron up icon
Demonstration of Meeting Needs: Verification and Validation Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon

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2 star 7.1%
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Jose mora Feb 02, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Excellent book, covers all aspects of Agile methodology. Essential tool for those who are dedicated to software development and testing. I recommend it 100 percent.
Amazon Verified review Amazon
Alex W. Jun 12, 2023
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I read Edition 1 of this book, and can say that Edition 2 is a much improved over the original.1. He cut out the fluff/redundancy of listing things that he's going to talk about and then talking about them right after.2. The tips and tricks callouts are more salient now3. The biggest change: He converted to Cameo Systems Modeler for the examples instead of IBM Rhapsody. This makes the book much easier to digest for the multitude in the MBSE community who use that tool.
Amazon Verified review Amazon
Tom Jan 29, 2023
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Despite being titled as an 'agile' MBSE book, this book should really be considered a general purpose handbook for doing MBSE. The author covers many different model-based recipes for each part of the systems engineering process which allows you to choose which methods work well for your project.The example of the Pegasus bike trainer really helps bring the 'recipes' described together and helped with my understanding of the previous sections.The book even covers how to incorporate safety and cyber security into your MBSE process in a very accessible manner. In my opinion, just these sections are worth purchasing the book for the simple explanation of how to perform these analyses within your project's model.The book's prose guides you through the systems engineering process which, unlike many other systems engineering texts, is kept interesting by the author's easy to understand and witty writing style.TL;DR If you're doing MBSE or thinking of doing MBSE in your project, you need this book.
Amazon Verified review Amazon
Craig Damlo Jan 24, 2023
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This book does what so many technical books fail to do; acts as a introduction/overview of the subject with Chapter 1 and then proceeds to provide a practitioner everything they need to execute a complete systems agile project in MBSE.What really sets this book apart from others is that just about every page has a diagram on it, reinforcing what the text has explained of the process.
Amazon Verified review Amazon
P. Forgione Jun 03, 2023
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Agile software development and Model Based Systems Engineering are pioneers in their industry. Being in the defense industry as a model based systems engineer, and being on a agile led program, this text has the answers to situations I have been faced with.What I appreciate most is the upfront mention of really utilizing use cases to bolster the “why” of why we design and architect our systems and applying all those relationships to the sysml blocks. This is something that I now actively do and it has helped answer customer questions more authentically and more precisely.Lastly, I appreciated the coverage on the topics of federated models. This is something in the digital engineering space that is helping to segment systems that can be utilized by other teams while also maintaining the prebuilt integrity of it.Great read, broken out into great step by step application within Cameo, and extremely useful for MBSE practitioners within an agile world.
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