1 / 47

Systems and Software Product Line Engineering

Systems and Software Product Line Engineering. Charles W. Krueger, PhD CEO, BigLever Software www.biglever.com ckrueger@biglever.com INCOSE Chicagoland Chapter Oct 21, 2010. Agenda. Systems and Software Product Lines (SPL) BigLever Software Gears SPL Framework and Methodology Gears Demo.

Download Presentation

Systems and Software Product Line Engineering

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Systems and Software Product Line Engineering • Charles W. Krueger, PhD • CEO, BigLever Software • www.biglever.com • ckrueger@biglever.com • INCOSE Chicagoland Chapter • Oct 21, 2010

  2. Agenda • Systems and Software Product Lines (SPL) • BigLever Software Gears SPL Framework and Methodology • Gears Demo

  3. BigLever at a Glance • Industry leader in Systems and Software Product Line engineering tools and services • 9 years of commercial practice with GearsTM technology and methods • Strategic partner of IBM Rational • Proven success • BigLever customer case studies illustrate successful transitions • SPL Hall of Fame: Salion (2004), LSI Logic (2006), HomeAway (2009) • Large-scale deployments: Lockheed Martin, General Dynamics, GM, ... • Best ROI metrics in the industry

  4. Systems and Software Product Lines • The key to business success depends on the infusion of new ideas about how products and systems are brought to market • To achieve this goal, today's product development organizations must deliver a product line • A portfolio of similar products or systems with variations in features and functions • Not just an individual product or system

  5. Product Lines and Profitability • Companies need economy of scale in their product lines • In manufacturing, greater profitability is achieved by investing in an efficient means of production – manufacturing infrastructure and shared product assets – that can be used to deploy different “flavors” of a product • As product differentiation and innovation move from the physical attributes to software-based features, the need for an efficient means of production for systems and software product lines has become universal

  6. An Efficient Means of Production for Systems and Software Product Lines

  7. Overview ofSystems and Software Product Line Engineering and Delivery

  8. Systems and Software Product Line Engineering and Delivery • Systems and software product line (SPL) engineering and delivery has emerged as a new approach that • provides an efficient means of production for systems and software product lines • supports the full product line development and delivery lifecycle

  9. Order N2 Complexity Complexity of Product-centric Thinking Impedes Portfolio Production “Vertical” Product Perspective

  10. Processes, tools and techniques cannot overcome the exponential complexity A new approach is required... Engineering Complexity Time The Challenge of Product Line Engineering: Harnessing Complexity Engineering Capability

  11. Shift in Perspective: Efficient Means of Production

  12. Shift in Perspective: Efficient Means of Production

  13. Benefits of a Software Production Line • Economy of Scale from Automated Production • Increase in the scope of product diversity • Increase in the scale of different products effectively delivered and maintained • Cost Savings from Efficiency and Productivity • Increase in productivity and efficiency • Reduction in per-product development cost and overhead • Higher profit margins • Faster Profits from Faster Time to Market • Reduction in time-to-market for new and updated products • Increased agility to react to new opportunities and changing market conditions • Better Products from Better Quality • Increase in customer-perceived product quality • Reduction in defect density • Improved risk management

  14. 2nd Generation SPL Approach

  15. Multiple Dimensions in a 2G SPL Solution • Synchronous concerns: multi-product, multi-phase, multi-baseline • Multi-product. Feature-based variation management and automated production line • Multi-phase. Product line lifecycle assets, architecture and traceability • Multi-baseline. Product line change management and baseline management

  16. Simplify. SPL Asset Focused Development Leverage. Feature Based SPL Management Consolidate. Variation Management & Automated Production • Business-wide management of portfolio by features rather than by products leads to optimized: • Scalability • Time-to-Market • Eliminating duplication, divergence, merging, manual variation techniques, lifecycle silos, and manual production leads to optimized: • Productivity and Cost • High levels of reuse, deep asset expertise, stable organization structure leads to optimized: • Quality The BigLever 3-Tiered SPL Methodology • Leveraging industry best practices from SPL successes

  17. Minimally Invasive Transitions to SPL Practice • Start with what you’ve got • Use an incremental transition strategy • Create a pilot as the catalyst for change • Stage transition to be non-disruptive to production schedules

  18. BigLever SoftwareTools and Services

  19. What We Offer • Gears™ • Software product line engineering tool & framework • Powerful patented technology • Industry leading • Award winning • Bridge integrations • Rhapsody/Gears Bridge • DOORS/Gears Bridge • Eclipse Plugin • Universal Configuration Management Bridge • Rational Quality Manager/Gears Bridge • Methodology integrations: Focal Point, Publishing Engine, Team Concert, ... • The industry’s most innovative software product line services

  20. DesignModels Require-ments DesignModels Require-ments DesignModels Require-ments FocalPoint QualityManager Rhapsody Eclipse DOORS EclipsePlugin TestCases TestCases TestCases UserDocs UserDocs UserDocs DOORS/GearsBridge Rhapsody/GearsBridge UniversalCMBridge RQM/GearsBridge SourceCode SourceCode SourceCode SourceCode SourceCode SourceCode ProfileA Example Tools FeatureProfiles ... Synergy ProductConfigurator OSFileSystem Production LineDevelopmentEnvironment Example Assets Product A Product N Gears SPL Framework Software Product Line Lifecycle Framework

  21. Services for SuccessIndustry Leading Experience and Expertise • Getting Started Package (recommended first step) • Intense, accelerated, hands-on pilot project • 3-days onsite, half-day prep, half-day post • $5,000 (a $10,000 value). Refundable if not 100% satisfied. • Á la carte • Pilots • Assessments • Transitions • Training

  22. SPL Source Code & File-based Asset Engineeringwith the Universal Configuration Management Bridge

  23. Early Generation SPL Source Code & File-based Asset Engineering • Early generation product-centric approaches lead to exponential complexity • Clone-and-own and branching • For each new product, make a copy or branch, then modify • Leads to expensive duplication, divergence and merging • Compiler preprocessor directives • Tag source code blocks with #ifdef directives • Leads to complex and convoluted source code and build system • One-size-fits-all with runtime conditionals and startup configuration files • Write the portfolio variations and diversity directly into the source code text • Leads to ever-growing, increasingly complex and convoluted source code

  24. Source Code as Gears SPL AssetsFeature-based Software Development

  25. Source file Variation Point with Variants, Logic and Projection

  26. ReleaseManager Product N Product B Product A Baseline 1 Baseline 4 Asset 1 Asset 3 Asset L Asset 2 Key: Beta release Public release Alpha release ... Baseline 2 Baseline 3 Baseline M ... Multi-baseline Management for SPL SPL AssetManagers ...

  27. Gears File-based Variation Points • File system extended with Feature-based SPL variation points • Optional files • Variant files • Optional directories • Variant directories • Variant text transformations • Optional text blocks

  28. SPL Requirements Engineeringwith the DOORS/Gears Bridge

  29. Early Generation SPLRequirements Engineering for Product Lines • Early generation product-centric approaches lead to exponential complexity • Clone-and-own (and requirements branching) • For each new product, make a copy of requirements and modify • Optionally add links to track commonality and variations • Leads to expensive duplication, divergence and merging • Attributes, links, scripting • Tag each requirement with one or more attributes about product diversity • Leads to high overhead • Major effort to define and implement attributes, dictionaries, semantics, schemas, scripts and filters • Labor intensive to revisit all requirements and attributes during maintenance and portfolio extension • One-size-fits-all • Write the portfolio variations and diversity directly into the requirements text • Leads to complexity and errors interpreting requirements for any particular product

  30. DOORS Requirements as Gears SPL AssetsFeature-based Requirements Engineering

  31. DOORS/GearsBridge RationalDOORS BigLever SoftwareGears DOORS/Gears Bridge • Dual Plugin “Bridge” between DOORS and Gears SPL Framework • Gears plugin extensions • Automated configuration of DOORS requirements, based on Gears feature profiles • DOORS plugin extensions • Any requirement can be converted into a first-class Gears variation point

  32. DOORS/Gears Variation Points • DOORS extended with Feature-based SPL variation points • Optional requirements • Requirements with variants • Requirements with text transformations

  33. SPL Model-driven Developmentwith the Rhapsody/Gears Bridge

  34. Early Generation SPLModel-driven Development for Product Lines • Early generation product-centric approaches lead to exponential complexity • Clone-and-own • For each new product, make a copy of a similar model and modify • Leads to expensive duplication, divergence and merging • One-size-fits-all • For each new product, add product diversity meta-logic in one model • Leads to large and complex models with product diversity logic intermingled with application logic

  35. Rhapsody Models as Gears SPL AssetsFeature-based MDD for SysML and UML

  36. Rhapsody/GearsBridge RationalRhapsody BigLever SoftwareGears Rhapsody/Gears Bridge • Dual Plugin “Bridge” between Rhapsody and Gears SPL Framework • Gears plugin extensions • Automated configuration of Rhapsody model elements, based on Gears feature profiles • Rhapsody plugin extensions • SysML and UML model elements can be converted into first-class Gears variation points

  37. Rhapsody/Gears Variation Points • Rhapsody extended with Feature-based SPL variation points • Optional model elements (SysML, UML) • Optional code generation (UML) • Code generation variants (UML)

  38. SPL Test Engineeringwith the RQM/Gears Bridge

  39. Early Generation SPLTest Engineering for Product Lines • Early generation product-centric approaches lead to exponential complexity • Clone-and-own (and test case branching) • For each new product, make a copy of test cases and modify • Leads to expensive duplication, divergence and merging • One-size-fits-all • Write the portfolio variations and diversity directly into the test case text • Leads to complexity and errors interpreting test procedure for any particular product

  40. RQM Test Cases as Gears SPL AssetsFeature-based Test Engineering

  41. Sub-systemTests Sub-systemTests Sub-systemTests DesignModels Require-ments DesignModels IntegrationTests Require-ments DesignModels Require-ments IntegrationTests IntegrationTests UnitTestCases UnitTestCases UnitTestCases SourceCode SourceCode SourceCode ProfileA FeatureProfiles GearsProduct Configurator SPL Symmetry in the ‘V’ ... Reusable SPL Assets Product A Product N

  42. RQM/GearsBridge RQM/Gears Bridge • Dual Plugin “Bridge” between RQM and Gears SPL Framework • Gears plugin extensions • Automated configuration of RQM test suites, based on Gears feature profiles • RQM plugin extensions • Any test case can be converted into a first-class Gears variation point IBM RationalQuality Manager BigLever SoftwareGears

  43. RQM/Gears Variation Points • RQM extended with Feature-based SPL variation points • Optional test cases

  44. The New Frontier for Product Line Engineering and Delivery

  45. Industry Trend to 2G SPL – a Discontinuous Jump

  46. Low Low Slow Low High High High Fast Into the New SPL Frontier • Automated Production Line – an Efficient Means of Production • The scale of your product line and the scope of diversity can be based on business opportunities and profitability rather than the complexity limitations • The BigLever SPL solution opens new frontiers in innovation, economy of scale and profitability, impacting the fundamentals of how you compete

  47. Next Steps to Learn More • Sign up for BigLever Software technical newsletter • www.biglever.com/learn/newsletters.html • Read our white papers, case studies and articles • www.biglever.com/learn/resources.html • Gain hands-on experience • www.biglever.com/learn/evaluations.html • Customer-recommended favorite: Getting Started Package • Call or e-mail • +1-512-426-2227 • info@biglever.com

More Related