You are required to complete this individual assessment consisting of a written report (12 marks) and mandatory oral defense (8 marks). Your task for this assignment is to write a research report to critically review major enterprise computing architecture: Jakarta EE, Spring Framework, and .NET. The purpose of this assignment is to assess your competence on the basis of critiquing ability, clarification of technical issues, & formal academic report writing. 

Part 1: Written Report: You must submit a 1500-word MS Word report via Moodle addressing enterprise application frameworks. Your report must follow the following structure:

Section 1: Introduction: You present a concise overview of enterprise application development and available technologies. You describe your report layout and preview subsequent sections.

Section 2: Layered and Component-Based Model: You research and compare Jakarta EE, Spring Framework, and .NET as layered/component-based models. You demonstrate understanding of the three fundamental layers: Persistence layer; Business logic layer; and Presentation layer
You provide a comparative table of key components each framework offers for building scalable applications.

Section 3: Differences Across Frameworks: You analyse differences between Jakarta EE, Spring, and .NET in: Programming languages; Cross-platform capabilities; Platform specialization; and Strengths and use cases.

Section 4: Framework Selection Guide: You provide decision criteria for:  Java vs .NET: Flexibility vs standardization, project scale/complexity and Jakarta EE vs Spring: Philosophy/approach, community support.

Conclusion: You summarize framework strengths and provide recommendations.

Part 2: Oral Defense – Mandatory

You must attend a 10–12-minute live defense (scheduled Week [5 and 6]) where you:

Present 6-minute summary of your report's key findings
Answer 4 minutes of Q&A. Defense questions will probe: Technical depth beyond your written submission; Real-world application scenarios; Framework trade-offs with specific constraints; Live diagramming (e.g., "Draw Spring's dependency injection flow")

Please note: Re-attempts of this assignment are not allowed. This assessment is exempt from the 72-hour submission grace period and must be completed by the stated submission date/time. All assessments should be submitted via Moodle.

The assignment must be submitted as a single Microsoft Word document. You must submit your assignment via the unit Moodle site. Any hardcopy or email submission will not be accepted. After the marked assignments are returned, any late submissions will incur late penalties according to CQU's policy. No presentation deck is required for oral defense. 

AI Assessment Scale - AI Collaboration: You may use AI to assist with specific tasks such as drafting text, refining and evaluating your work. You must critically evaluate and modify any AI-generated content you use.  

Assessment Criteria
Report Structure & Research 12 marks
Section 1: Introduction (2 marks)

Section 2: Layered and Component-Based Model (4 marks)

Section 3: Differences Across Frameworks (3 marks)

Section 4: Framework Selection Guide (3 marks)

Mandatory
Oral Defense (8 marks):

Technical Mastery (3 marks)
Framework knowledge, scenario analysis (3 marks)
Authenticity & Delivery (2 marks)

You will be tasked with a team-based software development project. You will be part of a small team (3-4 members) to design, implement, test, & document a secured three-tier enterprise application system. The purpose of this assignment is to assess your competence in enterprise computing paradigms, including Jakarta Faces (JSF), Enterprise Jakarta Beans (EJB), Jakarta Persistence API (JPA), and Jakarta Web Security programming, & the interoperations between layers of an enterprise application. Your ability to work collaboratively in a small team will also be assessed by this assignment. This assessment evaluates: Technical competence in enterprise computing paradigms and layer interoperations; Individual contributions; and Authentic learning beyond AI-generated code. 

Your team must produce:

Fully functional three-tier enterprise application (JSF presentation → EJB business logic → JPA persistence)
Comprehensive security implementation (authentication, authorization, data protection)
Technical documentation, test results, deployment guide
Live demonstration of all layers working together.

Individual Accountability Components – Mandatory.

1. GitHub Contribution Tracking (Individual)
Each team member maintains their own branch
Minimum 30 commits per person with meaningful code changes (not merges/docs)
Code authorship tracked via git blame – AI-generated code patterns flagged
Weekly code reviews for technical understanding
2. Layer Ownership & Solo Defense 
Each team member is assigned one specific layer (JSF, EJB, or JPA) and must:

Individually explain their layer's implementation to the class tutor (10 minutes)
Live code a small feature in their layer without notes/AI assistance
Answer technical questions about their layer's integration with other layers
Cannot rely on teammates during their solo defense
3. Weekly Progress Check-ins 
Individual 5-minute standups with tutor each week
Demonstrate your commits from that week and explain technical decisions
No group presentations – solo accountability
4. Individual Self-Reflection Report (Individual)
Submit separately via Moodle (800 words):

You must reflect on: 

Specific technical contributions to your assigned layer (JSF/EJB/JPA/Security)
Challenges overcome and technical solutions implemented
Layer integration issues and your role in resolving them
What you learned about enterprise architecture that you could not have learned from AI
Evidence of your GitHub commits with screenshots and commit explanations
Reflection Prompt: "Describe a specific technical problem you solved in your layer that required understanding both your layer and at least one other layer. Explain why AI could not have solved this problem without your architectural understanding."

5. Team Final Presentation 
Live demo of complete integrated application
Each member presents their layer (3 minutes each)
Q&A where individuals answer questions about their specific contributions
Submission Requirements
Team: Full source code (GitHub repo), documentation, deployment package
Individual: Self-reflection report (Word), layer defense recording, GitHub contribution summary

Please note: Re-attempts of this assignment are not allowed. This assessment is exempt from the 72-hour submission grace period and must be completed by the stated submission date/time. All assessments should be submitted via Moodle. This assessment has two parts.

Part A: Team Deliverables: All team members must submit identical copies. Your submission must contain all of the required documents as a single ZIP file. This part contains required Software & Documents. All code must be demonstrated live to your tutor during scheduled tutorial class time. Failure to complete this live demonstration will render your entire submission ineligible for marking.

Part B: Individual Deliverables: Each team member submits individually self-reflection report.

AI Assessment Scale - AI Collaboration: You may use AI to assist with specific tasks such as drafting text, refining and evaluating your work. You must critically evaluate and modify any AI-generated content you use.  

Assessment Criteria

Team components = 35 marks (70%). Individual components = 15 marks (30%). 

Individual Components (30% of total marks = 15 marks)

1. GitHub Contribution Tracking 3 marks
2. Layer Ownership & Solo Defense 4 marks
3. Self-Reflection Report 8 marks

Team Components (70% of total marks = 35 marks)

1. Technical Implementation 14 marks
2. Integration & Testing 8 marks
3. Documentation & Deployment 7 marks
4. Weekly Progress Check-ins 3 marks
5. Final Team Presentation in class to the tutor 3 marks

Total: 50 marks

This assignment is an individual work. Your task for this assignment is to address some key issues in the area of enterprise computing architecture. The purpose of this assignment is to assess your understanding to the key issues and competence to apply the key principles to enterprise computing in Data Persistence; Authentication and Authorization; RESTful Web Services; and Microservices. You are required to answer questions demonstrating your understanding of enterprise computing concepts covered in this unit. This written assessment verifies theoretical knowledge and prevents AI misuse through mandatory oral defense. 

Submission Requirements: You must submit a single Microsoft Word document (1800-2000 words) via the unit website (Moodle). All code must be demonstrated live to your tutor during scheduled tutorial time. Failure to complete this live demonstration renders your submission ineligible for marking.

AI Integrity Measures – Mandatory Oral Defense

Live verification will occur during your scheduled tutorial in week 12. You must complete the required tasks in the tutorial.

Please note: Re-attempts of this assignment are not allowed. This assessment is exempt from the 72-hour submission grace period and must be completed by the stated submission date/time. All assessments must be submitted via Moodle.

AI Assessment Scale - AI Collaboration: You may use AI to assist with specific tasks such as drafting text, refining and evaluating your work. You must critically evaluate and modify any AI-generated content you use.  

All code must be demonstrated live during the tutorial time.

Question 1: Data Persistence (5 marks)

Question 2: EJB and Backing Beans (7 marks)

Question 3: Authentication and Authorization (4 marks)

Question 4: RESTful Web Services (5 marks)

Question 5: Microservices (4 marks)

Live verification during tutorial conducted (5 marks), if this is not done, the assessment is ineligible for marking.