Police Ticket Processing System Introduction ✓ Solved
Police Ticket Processing System Description Introduction Imagine that Yo
Imagine that you are the Systems Engineer hired to develop a new Police Ticket Processing System (PTPS). You have two primary tasks: first, create an initial Requirements Traceability Matrix (RTVM) based on the provided information, and second, develop a Top Level Functional Architecture (System Context Diagram) for the PTPS derived from the RTVM. The project relies solely on the "Information Description" given below, with assumptions made where necessary and communicated accordingly.
Information Description:
Purpose: The PTPS records driver violations, fines paid, and guilty verdicts from courts. It triggers arrest warrants for unpaid fines, integrating with other police systems like the Police Patrol System (PPS), Driving Record Reports (DRR), and Driver License System (DLS) via a shared database, but these systems operate separately.
Data Elements: The system maintains Driver Data, Ticket Data, Officer Data, and Court Data. Driver Data includes license number, name, address, etc. Ticket Data includes ticket number, location, type, date, plea, verdict, fines, and payment date. Court and Officer Data include names and addresses. Relationships include one driver to many tickets, tickets to one driver, multiple tickets by officers.
Scenario: Officers issue tickets, copies go to drivers and the system. The system creates Ticket Records, links to driver, officer, court data. Drivers can plead guilty or contest. Payment is tracked; failure to pay or respond triggers court actions like warrants or license suspension. Court decisions, trial scheduling, and verdicts are incorporated. The system produces reports and notifications accordingly.
Using this description, develop an RTVM with appropriate columns, then use that RTVM to create a System Context Diagram illustrating main system components and external interfaces.
Sample Paper For Above instruction
Introduction
The development of a Police Ticket Processing System (PTPS) necessitates a comprehensive understanding of its functional scope, data management, and integration with related systems. The foundational step is creating a Requirements Traceability Matrix (RTVM), which maps system functions to data attributes, source statements, and architectural characteristics. Based on this, a Top Level Functional Architecture or System Context Diagram can be constructed, representing the core components and the external interfaces with which the system interacts.
RTVM Development
| Statement | Statement Type | Functional Architecture Attributes |
|---|---|---|
| The PTPS records driver violations issued by officers | Functional Requirement | Input Processing, Data Management |
| When a driver pleads guilty, the system records the payment of fines | Functional Requirement | Data Recording, Payment Tracking |
| Violations where a driver does not plead guilty and is found guilty by court are recorded as verdicts | Functional Requirement | Verdict Recording, Legal Status Update |
| If a fine is unpaid within a specified period, the system notifies the court to issue an arrest warrant | Functional Requirement | Notification Service, Enforcement Action |
| The system maintains Driver Data, Ticket Data, Officer Data, and Court Data in a shared database | Data Attribute | Database Management |
| Relationships: One driver may have many tickets, each ticket linked to one driver; officers generate many tickets | Relationship Attribute | Data Relationship Management |
| The system interfaces with external systems: PPS, DRS, DLS | External Interface | System Integration |
| Upon court verdicts, the system updates the ticket status and may trigger licensing actions | Functional Requirement | Legal and Licensing Update |
| The system produces reports to courts and insurance companies based on ticket status and verdicts | Output Function | Reporting |
| Failure to pay fines triggers an automated warrant request and notification to the court | Functional Requirement | Enforcement Notification |
System Context Diagram
The System Context Diagram depicts the PTPS as the central processing unit surrounded by its key external interfaces and data stores. External entities include:
- Police Officers: Initiate ticket issuance, update statuses
- Drivers: Receive notices, pay fines, respond to court invitations
- Court System: Issue verdicts, court dates, receive warrant requests
- Police Patrol System (PPS): Record accidents, verify insurance (less directly involved in ticketing)
- Driving Record Reports (DRR): Generate reports from ticket and accident data for insurers
- Driver License System (DLS): Manage license actions, suspensions based on system triggers
The core internal system functions include Ticket Management, Data Management, Notification Services, and Integration Modules. Data stores include the Driver Database, Ticket Records, Officer and Court Data repositories, all accessible by internal processing functions.
Key Questions Answered
- External Inputs: Ticket issuance by officers, driver responses/payments, court verdicts, trial scheduling requests
- Major Internal Functions: Ticket creation, updating ticket status, processing court verdicts, generating notifications, handling unpaid fines
- Data Stored: Driver Data, Ticket Data, Officer Data, Court Data
- Internal Interfaces: Data flow between Ticket Management, Data Repositories, Notification Services, and External Systems
- Outputs to External Systems: Court warrants, license suspension requests, reports to insurance companies
- External Systems: Court, DLS, DRR, PPS
Conclusion
Designing an efficient PTPS involves creating a detailed RTVM that captures all functional and data requirements and forming a clear, high-level system architecture. The System Context Diagram acts as a blueprint for understanding how internal functions coordinate with external entities and data stores to facilitate seamless violation processing, legal enforcement, and record management, ultimately supporting police operations and judicial proceedings effectively.
References
- Laudon, K. C., & Laudon, J. P. (2020). Management Information Systems: Managing the Digital Firm. Pearson.
- Stair, R., & Reynolds, G. (2020). Principles of Information Systems. Cengage Learning.
- O'Brien, J. A., & Marakas, G. M. (2019). Management Information Systems. McGraw-Hill Education.
- Kroenke, D. M., & Boyle, R. J. (2017). Using MIS. Pearson.
- Bakos, J. Y., & Treacy, M. (2018). Business Data Communications and Networking. Pearson.
- Hoffer, J. A., et al. (2016). Modern Database Management. Pearson.
- Murphy, B., & Deeks, C. (2019). Information Systems Development. Routledge.
- Butterfield, C., & Croll, P. (2019). Systems Analysis and Design. Pearson.
- Sturges, P., & Northcott, D. (2019). Introduction to Management Science. Wiley.
- Singh, H., & Nair, R. (2021). Embedded Systems and IoT. Wiley.