ALM for Developing Engineered Systems - Michael Azoff (Ovum) - 14 May 2019

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ALM for Developing
Engineered Systems
Michael Azoff
Distinguished Analyst
michael.azoff@ovum.com

Briefintroduction toOvum

Agenda
 The role for ALM in engineered products and safety critical systems
 Ovum Decision Matrix (ODM) ALM + DevOps 2019-20 results
 Agile and DevOps in safety-critical systems
 Case studies: BMW and LeddarTech
 The future of ALM

But first…

Alittlefunbutalsoseriousexercise
 In the handout I would like you to circle an item in each row (in the red
rectangle) that best describes your organization

ALM for Safety critical
systems

Definingapplication lifecyclemanagement

Software inengineered products
 Engineers had the choice to design same functionality
mechanically, electronically or in software,
 They are choosing software.
 Software was the value add in engineered products,
 Today software runs engineered products.
Sources: Skoda,
IEEE, ASME

ALMplayscrucialroletoenabletraceability
For example DO-178C on software development traceability:
• Trace Data, showing the bi-directional association between
system requirements allocated to software and high-level
requirements is developed.
the high-level requirements and low-level requirements is
developed.
the low-level requirements and the source code is
developed.

Complexity ofengineered products

Safety-critical software risk

ALMmaturity forsafety-critical systems

Whatcanbedoneaboutsoftwaresecurityinproducts
 Code in machine language.
 Move security into hardware:
 Move algorithms onto chips.
 Intel is building hooks at chip level for security purposes
 Create separation layer and one way traffic between safety
critical and rest of system, e.g. infotainment system.
 Security thinking:
 Software security development lifecycle: end-to-end
baked-in security.

Software Security Development Lifecycle (SSDL)
Comprehensive security development initiative:
 A strategic approach to improve quality and security
understanding from the beginning to the end of a project.
 Goal is to keep improving security through applying a security
process (not by chance), the SSDL.
 Focus on building-in security functions, as well as security
hygiene:
 Functions: authentication, authorization, encryption, input
validation.
 Hygiene: prevent top 10 OWASP defects.
Training Requirem. Design Implement Test Release Response

Ovum Decision Matrix
on ALM 2019-2020

Ourresultsfrom2016

OvumDecisionMatrixALM+DevOps2019-20:workin
progress,currentpositioning

Agile and DevOps

Agile andDevOps insafety-critical systems
 DevOps correlates with high performance.
 Convergence between modern industrial products and enterprise IT:
 Digital transformation is changing businesses making them software-
centric.
 DevOps needs to be modified to meet the needs of product
manufacturing.
 Need to manage risk at speed in safety-critical system development
 How to achieve agile/DevOps-based high development velocities
while managing risk.
 End-to-end ALM, integrated with DevOps CD and collaboration tools,
makes it possible to identify issues and fix the problems quickly

FromV-Model toO-Model

Enterprise atscaleagileframeworks

Cultureisthebiggest challengetoDevOps
Source: A. Neus, P. Scherf, Opening minds: Cultural change, IBM Systems Journal, VOL 44, NO 2, 2005

Howorganizations processinformation
Source: Ron Westrum, A typology of organizational cultures, Qual Saf Health Care 2004; v.13, pp. ii22-ii27.

Howtocreateagenerative organization

Case studies

BMWCaseStudy
Image Source: BMW

BMWCaseStudy
 From agile to DevOps adoption in engineering.
 Create a baseline "single source of truth" of a provably working product.
 It is preferable to house this in one tool rather than 20.
 Who is responsible for code when it needs a fix?
 Bring developers closer to the front edge.
 LeSS or SAFe?
 BMW found LeSS is less prescriptive, and optimized for continuous
learning within an organization.
 Conway’s laws:
 Organization communications are reflected in how software is architected.
 BMW requires ISO 26262 support to be available out of the box.

LeddarTech CaseStudy
 LiDAR: what is it?
 Was defined as “light radar”, but now “light
detection and ranging”.
 Example traditional applications:
 Detecting vehicles on motorway/bridge tolls.
 City traffic lights management.
 Novel application currently in research:
 Autonomous driving.

LeddarTech
 Software development background:
 Embedded development in C language.
 Development process a hybrid V-model and agile iterations delivering incremental minimum viable products.
 Before codeBeamer:
 Requirements managed in Excel.
 Manual steps to trace requirements through to code.
 Auditing limited to ISO 9001 certification.
 After codeBeamer:
 High growth in requirements – could not manage without ALM.
 Supporting new research for autonomous driving applications of LiDAR:
 ALM is essential to fulfill ISO 26262 certification:
 Trace test cases to requirements.
 Trace specifications to requirements.
 Improved QA support:
 Supports through API hardware-in-the-loop and human-in-the-loop testing: results fed back into cB.
 Greater confidence of QA process through visibility and traceability across lifecycle.

LeddarTech
 codeBeamer advantages:
 “Won in our selection process against competitor ALM solutions, our key criterion was traceability of
requirements across the lifecycle and codeBeamer was best for easy visualization of the traceability.”
 Highly flexible configuration and REST-based API integration.
 Wish list:
 Easier UI for beginning user, so provide novice and expert UI options.
 We needed a strong document management as well – but this is an ALM tool.

The future of ALM

Journeytothecloudnative enterprise

Ashorthistoryofapplicationdevelopment:
Fromtheviewpointofdecouplingsoftwarefrominfrastructure
Source: Chris Aniszcyk, CTO CNCF

RiseofcontainersandKubernetes: Googletrends

Cloudnativecomputingopenfoundations
New Linux Foundation sub-foundations that aim to create open source and vendor neutral technology stacks:
 Cloud Native Computing Foundation (CNCF) 2015.
 For edge computing: LF Edge (Jan 2019).
 Across any environment: Continuous Delivery Foundation (Mar 2019).
Source: LF Edge

ALMandmanagingmachinelearninglifecycle
Source: Kubeflow

michael.azoff@ovum.com

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