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IBM elm alm overview-software engineerin-lifecycle-management

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IBM Engineering Lifecycle Management (ELM) Benefits
More effective requirements management establishing single-source of truth and traceability offering higher product quality
Automatically create system specifications, interface design documents, test cases, and track progress of work items to drive constant process improvement
Continuous risk-based testing with prioritization, assessment, and automation improving product quality
Enhance productivity and product quality by infusing AI throughout workflows
Improved decision making through visualization, prototyping, simulation, and analysis
Optimize engineering productivity through reuse and variant management

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IBM elm alm overview-software engineerin-lifecycle-management

  1. 1. IBM Engineering Lifecycle Management Overview Imran Hashmi Canadian AI Application Leader AI Applications – Engineering Imran.Hashmi@ca.ibm.com 416-788-9101 https://hashmi.ca
  2. 2. Businesses face enormous pressure to meet the pace of innovation in the era of the Internet of Things IBM Engineering / © 2019 IBM Corporation Reporting Time to market Require- ments Collabo- ration Inno- vation Quality Costs Regula- tions Templates Products Integration Scalability Digitization PartnershipsInterfaces Optimization
  3. 3. Insightful engineering at enterprise scale The solution: IBM Engineering Lifecycle Management 3IBM Engineering / © 2019 IBM Corporation Engineering products is more complex The scale of product complexity Software drives everything Connectedness and AI are transforming how businesses and the world work Innovation must accelerate without compromising quality and safety, requiring a new level of sophistication – Importance of industry standards for safety-critical systems – Quantity & complexity of requirements – Structure, size, adaptiveness, & resiliency of architectures – Number, depth, and continuous testing – Exponentially growing lines of code
  4. 4. Businesses face enormous pressure to meet the pace of innovation in the era of the Internet of Things 4IBM Engineering / © 2019 IBM Corporation Internet of Things connected sensors provide usage and performance data in context to improve design and engineering internet-connected things by 2025, outnumbering humans nearly 9-1 Design and engineering teams required to accelerate time to market; without compromising quality , safety and compliance Connectivity results in explosion of data to design personalized experiences of organizations cited customer experience as a competitive differentiator of CIO’s state their teams need to release software even faster
  5. 5. Companies already face the challenges of increasing complexity…… IBM Engineering / © 2019 IBM Corporation Systems-of-systems-of-systems…… Software related recalls +15% in 2016 News reports: – 4.8M vehicles recalled for cruise control issue fixed via software update – 1.25M trucks recalled for software malfunction of airbags – +200K cars recalled for software malfunction of read camera – 68K SUV’s recalled for software malfunction of anti-lock & collision detection 5
  6. 6. Companies already face the challenges of increasing complexity…… IBM Engineering / © 2019 IBM Corporation News reports: 39 Medical Devices Recalled and Reported to the FDA in 2019 alone Source: Link Medical Devices have caused 80,000 deaths since 2009 for devices used for pain and other conditions Source: Link 137 Class III Device Recalls in 2017-2018 Reported to the US Food and Drugs Administration for class III devices used to support or sustain human life Source: Link 23% of recalls in 1Q2018 were software related…. driving an overall recall increase of 126% 6
  7. 7. Companies already face the challenges of increasing complexity…… IBM Engineering / © 2019 IBM Corporation News reports: F-35 Fighters will cost $22B more than expected – 24 million lines of code proving difficult 189 People Killed in Lion Air Flight 610 Reuters sources claim a software issue is suspected in Airbus A220 engine blowouts Computer code in a typical plane has grown 40% in past decade 7
  8. 8. Innovate with speed and quality while delivering mission/safety critical systems Meet regulatory, compliance, reporting & audit requirements (eg DO-178B, ASPICE) Drive constant improvement while dealing with increasing complexity across multi-tier value chains Collaborate across disciplines and distributed teams to have a single source of engineering truth Leverage previous work through reuse and variant management 8IBM Engineering / © 2019 IBM Corporation What if your engineering teams could?
  9. 9. 9IBM Engineering / © 2019 IBM Corporation IBM Engineering Lifecycle Management (ELM) Benefits – More effective requirements management establishing single-source of truth and traceability offering higher product quality – Automatically create system specifications, interface design documents, test cases, and track progress of work items to drive constant process improvement – Continuous risk-based testing with prioritization, assessment, and automation improving product quality – Enhance productivity and product quality by infusing AI throughout workflows – Improved decision making through visualization, prototyping, simulation, and analysis – Optimize engineering productivity through reuse and variant management Market Assessment System Requirements Customer Requirements System Design Implementation System Test System Verification &Validation Deploy or Release to Mfg Operations and Maintenance Embedded Software Development Mechanical Design Electrical / Electronics Design Engineering Lifecycle Management with AI 1. Traceability across the lifecycle 2. Access to all engineering information 3. Collaboration across engineering disciplines Insightful engineering at enterprise scale
  10. 10. 10IBM Engineering / © 2019 IBM Corporation IBM Engineering Lifecycle Management (ELM) Benefits (cont.) – Fully integrated regulatory, compliance, process, reporting & audit to meet design plan and safety- critical requirements – Address increasing engineering complexity enabling systems of systems design, geo-dispersed teams, growing multi-tiered value chains – Enhanced enablement through integrated agile, SAFe, or custom processes to systems engineering practices – Actively embrace open standards enhancing integration, enabling broad ecosystem, and individual customization – Single point access to all engineering information Market Assessment System Requirements Customer Requirements System Design Implementation System Test System Verification &Validation Deploy or Release to Mfg Operations and Maintenance Embedded Software Development Mechanical Design Electrical / Electronics Design Engineering Lifecycle Management with AI 1. Traceability across the lifecycle 2. Access to all engineering information 3. Collaboration across engineering disciplines Insightful engineering at enterprise scale
  11. 11. Industry leaders are among our 3,000+ clients for IBM Engineering. 11IBM Engineering / © 2019 IBM Corporation 9of the top 10 largest automotive companies 13of the 15 top electronics OEMs 9of the 10 medical device manufacturers 13of the 15 largest Tier 1 automotive suppliers 9of the 10 largest pharmaceutical companies 8of the 10 semi-conductor companies 10of the 10 major aerospace and defense companies 54 Government agencies in 54 countries
  12. 12. 12IBM Engineering / © 2019 IBM Corporation IBM Engineering Lifecycle Management (ELM) References “We have to be convinced that the tool and the environment we are using for the future is strong enough to build a very high building on it… for 10,000-plus engineers.” Continental will “apply the full portfolio of IBM ELM.” ”… we are doing it with IBM ELM…. We are convinced this will lead to implementation of our strategy.” - Dr. Bernhard Rieger, Head of Processes, Methods, Tools Division Chassis & Safety, Continental AG “The number of customer functions are exploding…. We need systems engineering …. IBM is a close partner.” “The next phase is to lift text-based requirements engineering to model-based systems engineering… This is a game-changer…. We are doing this in close cooperation with IBM.” - Dr. Siegmar Haasis, CIO R&D, Mercedes-Benz
  13. 13. 13IBM Engineering / © 2019 IBM Corporation Case Study Mahindra and Mahindra Realizing that disconnected development processes were hindering innovation, Mahindra & Mahindra revolutionized its management of the product development lifecycle, accelerating speed to market. IBM Engineering accelerated product innovation with streamlined, traceable systems and software engineering creating a Digital Engineering environment to meet the challenges of the auto industry undergoing tremendous change – Engineering Workflow Management increased collaboration, improved efficiency of engineering teams with project visibility – Configuration Management reduced time to market, increased quality, by allowing reuse of lifecycle artifacts – Engineering Test Management empowers engineers to do full impact analysis instantly at zero cost with full traceability Impact
  14. 14. 14IBM Engineering / © 2019 IBM Corporation Case Study Jaguar Land Rover Jaguar wanted to create new development specifications in a format that could be quickly understood and adapted by its 600+ engineers around the world. Using IBM Engineering, they transformed their engineering approach and strengthened the way they build new products and bring them to market. – Reduces software validation time by more than 90 percent leveraging automation and Engineering Systems Design Rhapsody – Leveraging DOORS Next they ensure new, software- enabled features—like 3-D navigation and media playback systems—provide a seamless user experience and meet safety critical standards – Adoption of Agile practices like shift left testing they reduced bug-detection time by 90 percent and were able to quickly adjust to new requirements Impact
  15. 15. 15IBM Engineering / © 2019 IBM Corporation IBM ALM and DevOps Solution Position ..IBM plays well across enterprise IT and the engineering industries, and its investment in DevOps has moved it into a leading position in DevOps tooling.. ..Digital transformation is leading to a convergence of engineering and enterprise IT in terms of software development needs. IBM's best opportunities are in supporting development with the latest technologies such as containers and microservices while fulfilling the requirements for safety-critical compliance… Publication Date: 27 Jun 2019 | Product code: INT003-000374 Michael Azoff Ovum Decision Matrix: Selecting an Application Lifecycle Management and DevOps Solution, 2019–20 0 20 40 60 80 100 0 20 40 60 80 100 Technology score (%) Executionscore(%) Bubble size represents market impact Leader Challenger Expanded view of Ovum Decision Matrix: ALM and DevOps, 2019-20 Microsoft Perforce IBM Micro Focus Intland Siemens Polarion
  16. 16. ..Product engineering has a need for in-depth variant management and multiple configurations across requirements, tests, plans, and code. IBM has features to support these, also enabling reuse of assets. Supporting compliance is another strong engineering feature, for example, with link validation.. ..IBM has strengths across the range of ALM use cases including advanced engineered products and meeting the needs of Agile and DevOps teams in enterprise IT… 16 Publication Date: 27 Jun 2019 | Product code: INT003-000374 Michael Azoff Ovum Decision Matrix: Selecting an Application Lifecycle Management and DevOps Solution, 2019–20 IBM ALM and DevOps Solution Position
  17. 17. IBM Engineering / © 2019 IBM Corporation 17 Questions? Imran Hashmi Canadian AI Application Leader AI Applications – Engineering Imran.Hashmi@ca.ibm.com 416-788-9101 https://hashmi.ca
  18. 18. IBM Engineering / © 2019 IBM Corporation 18 Want to learn more, get started today….. Key Resources: • Read the ELM Whitepaper • Jazz.net Previews • Learn what the analysts are saying in the Ovum Report

Editor's Notes

  • Customers are dealing with the challenges of getting product requirements, meeting regulations, delivering quality, communicating across the organization, controlling costs, etc….
    Customers do not want to spend precious time dealing with integration/interfaces, developing templates, optimizing their environment, scaling their environment, making their products work together when they do not need to….
    Customers want to focus where they make money not on building/designing infrastructure…….





  • Crushing complexity is keeping innovative connected products from getting to the marketplace fast enough to capitalize on their differentiation.

    Industrial companies are seeking to speed product development cycles and pursuing competitive advantage by becoming increasingly software-centric
    This is a major change impacting technology, process, culture
    Engineers have to consider more to create better products—greatly expanded development and services ecosystems, new types and frequency of interactions between devices, applications and users, and new types of business models
    Delivering the Minimum Viable Product—a common Day One software launch strategy—simply isn’t viable for many complex products and devices. Engineers must create a fail-free environment for products where regulations and standards require that products maintain absolute safety, even as leaders must mitigate the costs and risks of audit
    They need a holistic approach to using data and tapping all internal expertise to deliver innovative products in a timely manner, while ensuring adherence to constantly evolving regulatory and compliance requirements

    Data insights are enabling better products and enhanced customer experiences through improved:
    Operational processes
    Product development collaboration and workflow
    Customer engagement

    Leaders are making the shift from building products to building experiences enabled through rich services ecosystems
    Customers expect innovation and a great user experience for all products—regardless of length of lifecycle
    More complex, connected products have more complex collaboration workflows
    Through data insights, engineering teams can deliver against those expectations, while companies evolve business models to capitalize on personalized services

    46x statistic is from https://www.ipexpoeurope.com/content/download/10069/143970/file/2017-state-of-devops-report.pdf
    https://www.information-age.com/cios-innovation-customer-experience-risk-123472064/
    https://www.cp2experience.com/customer-experience-stats-2018/5053/
    Statistics Portal - https://www.statista.com/statistics/471264/iot-number-of-connected-devices-worldwide/



  • Fiat Chrysler recalls 4.8M vehicles for cruise control defect - https://wixy.com/news/030030-fiat-chrysler-recalls-4-8m-vehicles-for-cruise-control-defect/
    Fiat Chrysler recalls 1.25m trucks over software error - https://www.bbc.com/news/technology-39898319
    Honda Recalls 200K Cars in US - https://www.pcmag.com/news/364059/honda-recalls-200k-cars-in-us
    Braking bad: Mitsubishi recalls 68k SUVs over buggy software - https://www.theregister.co.uk/2018/09/25/mitsubishi_suv_bugs_recall/

    Software Now To Blame For 15 Percent Of Car Recalls - https://www.popsci.com/software-rising-cause-car-recalls/

    It is now a time of collaboration and accountability.
    The dramatic increase of interrelated components in
    today’s technologically advanced vehicles has exposed
    suppliers to many more recalls in recent years. Our
    finding that suppliers are being named in more
    design-related recalls than ever before is a red flag for
    companies that are used to their liability being focused
    almost exclusively on manufacturing-related recalls.

    Technology has created an urgency for both OEMs
    and suppliers to increase collaboration as more
    components are linked – hence the failure of one can
    trigger a recall for all. The financial exposure for OEMs
    and suppliers is certain to intensify, especially when
    they are testing unproven technology in response
    to competitive pressure and consumer demand, and
    as the industry moves ever more quickly toward
    autonomous vehicle systems.

  • https://www.fiercehealthcare.com/tech/medical-device-recalls-software-fda-cybersecurity


    It is now a time of collaboration and accountability.
    The dramatic increase of interrelated components in
    today’s technologically advanced vehicles has exposed
    suppliers to many more recalls in recent years. Our
    finding that suppliers are being named in more
    design-related recalls than ever before is a red flag for
    companies that are used to their liability being focused
    almost exclusively on manufacturing-related recalls.

    Technology has created an urgency for both OEMs
    and suppliers to increase collaboration as more
    components are linked – hence the failure of one can
    trigger a recall for all. The financial exposure for OEMs
    and suppliers is certain to intensify, especially when
    they are testing unproven technology in response
    to competitive pressure and consumer demand, and
    as the industry moves ever more quickly toward
    autonomous vehicle systems.


  • https://time.com/5575608/lockheed-martin-f-35-jet-cost/
    https://spectrum.ieee.org/riskfactor/aerospace/military/f35-program-continues-to-struggle-with-software
    https://www.bloomberg.com/news/articles/2019-06-27/boeing-pilots-flagged-software-problems-on-jets-besides-the-max
    https://www.aljazeera.com/ajimpact/planes-boeing-rival-airbus-software-problems-191024174952042.html
    https://www.nytimes.com/interactive/2019/business/boeing-737-crashes.html

    It is now a time of collaboration and accountability.
    The dramatic increase of interrelated components in
    today’s technologically advanced vehicles has exposed
    suppliers to many more recalls in recent years. Our
    finding that suppliers are being named in more
    design-related recalls than ever before is a red flag for
    companies that are used to their liability being focused
    almost exclusively on manufacturing-related recalls.

    Technology has created an urgency for both OEMs
    and suppliers to increase collaboration as more
    components are linked – hence the failure of one can
    trigger a recall for all. The financial exposure for OEMs
    and suppliers is certain to intensify, especially when
    they are testing unproven technology in response
    to competitive pressure and consumer demand, and
    as the industry moves ever more quickly toward
    autonomous vehicle systems.


  • Here’s how we bring it all together! We’ve enabled the ability to go across your organization simultaneously, no matter where you start or which area you’re in. The words on the left are the proof points.
  • Here’s how we bring it all together! We’ve enabled the ability to go across your organization simultaneously, no matter where you start or which area you’re in. The words on the left are the proof points.
  • 10 of Top 10 Aerospace & Defense Companies
    9 0f Top 10 Automotive Manufacturers
    10 of Top 10 Smart Phone Manufacturers
    9 of Top 10 Medical Device Manufacturers
    9 of Top 10 Pharmaceutical Companies
    8 of Top 10 Semiconductor Companies

    Software and Systems Engineering
    Clients include:
    13 of the 15 largest 2016 Defense OEMs
    10 of the 10 largest 2016 Automotive OEMs
    13 of the 15 largest Automotive Tier-1 suppliers
    13 of the 15 largest Electronics OEMs
    Government agencies in over 54 countries


  • Do not change
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