Chapter 10 - Emerging Paradigms and Project Development.pptx
- 1. Emerging Paradigms and Project Development Application Development and Emerging Technologies
- 2. Emerging paradigms in project development focus on shifting away from traditional project management methods towards more collaborative, flexible, and technology-driven approaches, including cloud computing, agile development, automation, and microservices. This shift aims to improve project outcomes by embracing digital transformation, enhanced collaboration, and the ability to adapt to changing requirements. Emerging Paradigms Why does it matter?
- 3. Cloud Computing: Leveraging cloud infrastructure for project management tools, software development, and data storage enables greater flexibility, scalability, and accessibility. Agile Development: Embracing iterative and flexible approaches to project development, where requirements are continuously refined and adapted based on feedback and evolving needs. Automation: Utilizing automation tools and techniques to streamline project tasks, reduce manual effort, and improve efficiency. Key EmergingParadigms
- 4. Microservices: Breaking down projects into smaller, independently deployable services, allowing for increased flexibility, scalability, and independent development. Web-Enabled Project Management: Utilizing web-based platforms and tools for communication, collaboration, and task management, facilitating remote work and improving project visibility. Continuous Integration/Continuous Delivery (CI/CD): Implementing CI/CD pipelines to automate the integration, testing, and deployment of software updates, leading to faster and more reliable releases. Key EmergingParadigms
- 5. Democratizing App Development Low-code and no-code platforms (e.g., Mendix, Power Apps, AppSheet) allow users—even those without substantial programming backgrounds—to build applications using drag- and-drop interfaces and prebuilt components. These tools handle much of the plumbing (database connections, basic authentication, UI layouts), accelerating development for simpler use cases. Low Code and No-Code Platforms
- 6. Rapid Prototyping: Testing a new business idea or proof-of- concept quickly. Internal Tools: Building in-house dashboards or workflows without tying up expert developers. Non-Technical Teams: Empowering departments like HR or Marketing to create forms, reports, or automation flows with minimal IT assistance. When toconsider Low-Code
- 7. Limitations Vendor Lock-In: Heavily relying on proprietary components can make it difficult to migrate or integrate with custom code. Scalability and Complexity: Low-code solutions may struggle with extremely large-scale or specialized performance requirements. Customizations: Achieving highly unique features might require “breaking out” into traditional coding, reducing the low-code platform’s benefits. When toconsider Low-Code
- 8. Shifting Processing to the Edge Edge computing involves processing data closer to where it’s generated—on local devices or edge servers—rather than transmitting it to a distant cloud data center. Motivations include reducing latency, conserving bandwidth, and improving real-time responsiveness. Edge Computingand 5G
- 9. Autonomous Vehicles: Rapid decision-making (e.g., braking, steering) must happen locally without waiting for cloud round trips. Smart Factories: Real-time monitoring and adjustments on the production line require sub-millisecond latency. Augmented/Virtual Reality: High-fidelity graphics and real-time interactions benefit from edge-based rendering or caching. UseCases
- 10. Data Filtering: Only transmitting essential insights (e.g., anomalies) to the cloud. Synchronization: Handling intermittent connectivity gracefully, reconciling local state with remote databases. Security: Physical access to edge hardware means extra protection (secure boot, tamper-proof modules) is essential. Designingfor the Edge
- 11. A multidisciplinary field comprising aspects of computer science, physics, and mathematics that utilizes quantum mechanics to solve complex problems faster than on classical computers. The field of quantum computing includes hardware research and application development. QuantumComputing Google Quantum AI
- 12. Quantum computing takes advantage of how quantum matter works: Where classical computing uses binary bits -- 1s and 0s -- quantum computing uses particles such as electrons and photons that are given either a charge or polarization to act as a 0, 1 or any of the possible states in between. The ability of these units, called qubits, to be in more than one state at a time is what gives quantum computers much of their processing power. Development of quantum theory, also called quantum mechanics, began in 1900 when German physicist Max Planck introduced the idea that energy and matter exist in individual units. Further developments by other scientists in the 30 years that followed have led to the modern understanding of quantum theory. How does Quantum computing work?
- 13. Refine Your Scope Revisit Requirements: Ensure your planned features still align with the project’s core objectives. It’s often better to deliver a smaller set of well-tested features than an overambitious scope of half-finished components. Focus on Quality: Polished UI, stable performance, and robust security measures can make your project shine, even if not every feature from your original wish list is implemented. Project Management Practical Strategies and Tips
- 14. Solidify Your Architecture Verify Your Technology Stack: Confirm that frameworks, databases, and tools remain appropriate and stable. If you introduced new libraries mid-development, evaluate their long-term viability and ensure you have alternatives if they’re not well-maintained. Check Integration Points: If your project depends on third-party APIs or microservices, finalize how data flows between components. Document these interfaces to reduce confusion and errors. Project Management Practical Strategies and Tips
- 15. Testing and Documentation Automate Where Possible: Set up CI pipelines to automate builds and basic tests. Even simple checks (linting, unit tests) can catch regressions before they become severe. User Acceptance Testing: Solicit feedback from classmates or potential users to validate design choices. Observing real people using your system can uncover usability issues you never anticipated. Code and API Docs: Good documentation—inline code comments, README files, diagrams—helps the teaching staff, future collaborators, and even yourself (when you revisit the project later). Project Management Practical Strategies and Tips
- 16. Final Presentation and Demo Narrative Flow: Plan a clear storyline for your demo—explain what your application does, why it’s valuable, and how it leverages modern technologies. Highlight Key Features: Show off the most interesting or technically impressive elements first. Keep your audience’s attention by demonstrating real scenarios rather than diving too deeply into code lines. Acknowledge Limitations: Embrace learning curves and constraints. If you integrated an emerging technology but didn’t have time to perfect it, explain what you learned and what future work might improve it. Project Management Practical Strategies and Tips
- 17. Project Management Practical Strategies and Tips Determine if a proposed project should be undertaken (to approve or reject) The Project Manager will define the project scope and prepare project proposal. Develop project plan to ensure that project completion will be on time; within budget allocation and without deviations from the original project proposal. Initial and final testing, System Audit and QA, Risk and Cost Analysis Project Approval and Deployment, set policies, Contract signing and NDA (Non- disclosure agreement)