Speed, Data, and Ecosystems Excelling in a Software-Driven World

As software R&D investment increases, the benefits from short feedback cycles using technologies such as continuous deployment, experimentation-based development, and multidisciplinary teams require a fundamentally different strategy and process. This book will cover the three overall challenges that companies are grappling with: speed, data and ecosystems. Speed deals with shortening the cycle time in R&D. Data deals with increasing the use of and benefit from the massive amounts of data that companies collect. Ecosystems address the transition of companies from being internally focused to being ecosystem oriented by analyzing what the company is uniquely good at and where it adds value.

IntroductionIntroduction SPEED DATA ECOSYSTEMS THE BAPO MODEL WHERE ALL THIS COMES FROM FOR WHOM THIS BOOK WAS WRITTEN READING GUIDE Trends in Society, Business and Technology TRENDS AND DRIVERS PRODUCTS TO SERVICES TOWARDS CUSTOMER DRIVEN INNOVATION CHANGING NATURE OF INNOVATION SOFTWARE SIZE NEED FOR SPEED FROM "NO DATA" TO "BIG DATA" TO "SMART DATA" FROM PRODUCTS TO PLATFORMS AND ECOSYSTEMS CONCLUSION Illustrating Our Story: VIGANBEVIGANBE: AN INTRODUCTION STRATEGY ARCHITECTURE AND TECHNOLOGY ORGANIZING CONCLUSION SpeedThe Stairway to Heaven: Speed DIMENSION 1: SPEED TRADITIONAL DEVELOPMENT Definition Drivers for Adoption Feedback Loop Implications Remaining Concerns ExampleAGILE PRACTICES Definition Drivers for Adoption Feedback Loop Implications Remaining Concerns Example CONTINUOUS INTEGRATION Definition Drivers for Adoption Feedback Loop Implications Remaining Concerns Example CONTINUOUS DEPLOYMENT Definition Drivers for Adoption Feedback Loop Implications Remaining Concerns Example R&D AS AN INNOVATION SYSTEM Definition Drivers for Adoption Feedback Loop Implications Remaining Concerns ExampleCONCLUSION Throughput and Responsiveness LARGE SCALE SOFTWARE DEVELOPMENT FOR B2B MARKETS THROUGHPUT AND RESPONSIVENESS CUSTOMER-UNIQUE VERSUS CUSTOMER-FIRST CUSTOMER-SPECIFIC TEAMS FEATURE GENERALIZATION PROFESSIONAL SERVICES BRINGING IT ALL TOGETHER EXPERIENCES AND IMPLICATIONS CONCLUSION Managing Architecture ARCHITECTURE TECHNICAL DEBT ARCHITECTURE REFACTORING THE ROLE OF THE ARCHITECT ART: AN ORGANIZATIONAL MODEL EXPERIENCES CONCLUSION Continuous Integration BENEFITS OF CONTINUOUS INTEGRATION TESTING CHALLENGESCITIM CIVIT Capturing Current State Envisioning Desired State Gap Analysis and Improvement Planning Post-Deployment Testing PROCESS AND ORGANIZATION EXPERIENCES CONCLUSIONS DataThe Stairway to Heaven: Data DIMENSION 2: DATA AD-HOC USE OF DATA Definition Drivers for Adoption Data-Driven Principles Implications Remaining Concerns Example COLLECTION Definition Drivers for AdoptionData-Driven Principles Implications Remaining Concerns Example AUTOMATION Definition Drivers for Adoption Data-Driven Principles Implications Remaining Concerns Example DATA INNOVATIONDefinitionDrivers for Adoption Data-Driven Principles Implications Remaining ConcernsExample EVIDENCE-BASED COMPANY Definition Drivers for Adoption Data-Driven Principles Implications Remaining Concerns Example CONCLUSION Feature Experimentation THE HYPEX MODEL GENERATE FEATURE BACKLOG Customers Business Strategy Bottom-up Innovation Prioritizing the Feature Backlog DEFINE EXPECTED BEHAVIOUR IMPLEMENTATION AND INSTRUMENTATION OFCODE (MVF) GAP ANALYSIS DEVELOP AND TEST HYPOTHESES ITERATION EXAMPLE CONCLUSION Evidence-Driven Development A CONCEPTUAL FRAMEWORK THE QCD METHOD REQUIREMENTS TO HYPOTHESES HYPOTHESIS TESTING TECHNIQUES Concept Testing A/B Testing SCOPE OF DEVELOPMENT New Product Development New Feature Development Feature Optimization BRINGING IT ALL TOGETHER: QCD EXAMPLE CONCLUSION EcosystemsThe Stairway to Heaven: Ecosystems SOFTWARE ECOSYSTEMS TOWARDS THE THREE LAYER PRODUCT MODELComplexity Problems During Evolution THREE LAYER PRODUCT MODEL Commoditized Functionality Layer Differentiating Functionality Layer Innovation and Experimentation Layer Productization and Commoditization Process Architecture Refactoring Process VALIDATION ECOSYSTEM DIMENSION INTERNALLY FOCUSEDDefinition Drivers for Adoption Ecosystem Principles Implications Remaining Concerns AD-HOC ECOSYSTEM ENGAGEMENTDefinition Drivers for Adoption Ecosystem Principles Implications Remaining ConcernsTACTICAL ECOSYSTEM ENGAGEMENT Definition Drivers for Adoption Ecosystem Principles Implications Remaining Concerns STRATEGIC SINGLE ECOSYSTEM ENGAGEMENTDefinition Drivers for Adoption Ecosystem Principles Implications Remaining Concerns STRATEGIC MULTI-ECOSYSTEM ENGAGEMENTDefinition Drivers for Adoption Ecosystem PrinciplesImplications Remaining ConcernsCONCLUSION Three Layer Ecosystem Strategy Model THREE ECOSYSTEMS INNOVATION ECOSYSTEM DriversCharacteristics DIFFERENTIATION ECOSYSTEMDriversCharacteristicsCOMMODITIZATION ECOSYSTEM Drivers Characteristics CHALLENGES IN ECOSYSTEM ENGAGEMENT Innovation Ecosystem Differentiation Ecosystem Commoditization Ecosystem ECOSYSTEM STRATEGIES Innovation Strategies Differentiation Strategies Commoditization Strategies TELESM Innovation Strategy Selection Transition to Differentiation Ecosystem Differentiation Strategy Selection Transition to Commodity Ecosystem Commodity Strategy Selection CONCLUSION Implications of Software Ecosystems INDUSTRY STRUCTURES Vertically Integrated firms System Integrators and Specialized Suppliers Supply Chains Closed Ecosystem Open Ecosystem When Industries Transition ESAO MODEL The ESAO Model Triggers and Responses ESAO Innovation Strategies OBSERVED CHALLENGES Software Architecture R&D Organisation RECOMMENDATIONS Customers first; developers second Platform should be in the middle of every transactionProactively incorporate functionality and data models Communicate clear, multi-year roadmaps Model platform as the next computing platform abstraction layer CONCLUSION ConclusionConclusion SPEED DATA ECOSYSTEMS MAXIMIZING SYNERGY HOW TO USE THE STAIRWAY TO HEAVEN THE FUTURE

In the spring of 2011, after 8 years in industry, Jan Bosch returned to academia as a professor of software engineering at Chalmers University of Technology in Gothenburg, Sweden. Earlier, he worked as VP Engineering Process and VP Open Innovation for Intuit in Mountain View, California. Prior to joining Intuit, he worked for several years at Nokia Research Center. Before that, he was a full professor of Software Engineering at the University of Groningen. His main research interests are in software architecture assessment, design and representation, software product lines, including variability management, organizational approaches and product family architecture design, design erosion, component-oriented software engineering, object-oriented frameworks and design patterns.