Assignment 4: Air Traffic Control System Consideration

Assignment 4 Air Traffic Control Systemconsider The Following Goal Mo

Consider the following goal model fragment for an air traffic control system. The parent goal states that aircraft routes should be sufficiently separated. The refinement is intended to produce sub-goals for continually separating routes based on different kinds of conflict among routes. Write a four to five (4-5) page paper in which you:

1. Analyze the parent goal of the Maintain [SufficientRouteSeparation] node.

2. Restructure and redraw the provided model fragment, by use of the decomposition-by-case and milestone-driven patterns, so that the use of both patterns are explicit and separated. Use Visio or an equivalent such as Dia. Note: The graphically depicted solution is not included in the required page length.

3. Determine the incompleteness in the provided model fragment and fix the anomaly. Explain what the anomaly is and propose a way for it to be rectified.

4. Determine the goals, in your completed diagram, that require further refinement and explain why.

5. Use at least three (3) quality resources in this assignment.

Note: Your assignment must follow these formatting requirements:

• Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; citations and references must follow APA or school-specific format. Check with your professor for any additional instructions.
• Include a cover page containing the title of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required assignment page length.
• Include charts or diagrams created in Visio or an equivalent such as Dia. The completed diagrams/charts must be imported into the Word document before the paper is submitted.

The specific course learning outcomes associated with this assignment are:

• Describe the process and develop a system behavioral model based on requirements gathered.
• Use technology and information resources to research issues in requirements engineering.
• Write clearly and concisely about topics related to Requirements Engineering using proper writing mechanics and technical style conventions.

Paper For Above instruction

The air traffic control system plays a pivotal role in ensuring the safety and efficiency of airspace operations. Central to this system is the goal of maintaining sufficient separation between aircraft routes to prevent conflicts and collisions. The parent goal, SufficientRouteSeparation, encapsulates this overarching aim, and its successful realization hinges on a detailed understanding of various conflict scenarios and their management strategies.

Analyzing the parent goal requires examining its scope and the conditions under which route separation must be enforced. The goal emphasizes continuous monitoring and adjustment of aircraft routes, accounting for real-time factors such as aircraft speed, trajectory, weather conditions, and potential conflict points. It assumes that route separation is vital not just for safety but also for optimizing traffic flow, reducing delays, and maintaining orderly airspace use. The parent goal thus acts as a nexus for various sub-goals that address specific conflict types, such as horizontal conflicts, vertical conflicts, and navigational conflicts, each requiring tailored strategies.

Restructuring and redrawing the model involves applying the decomposition-by-case and milestone-driven patterns explicitly. The decomposition-by-case pattern segments the parent goal into distinct conflict cases, each representing a specific scenario—horizontal conflict, vertical conflict, or other route conflicts. The milestone-driven pattern structures the model around key decision points or milestones, such as detection, assessment, and resolution phases. Using tools like Visio or Dia, one would depict the parent goal branching into sub-goals for each conflict type, with milestones identified at critical junctures that trigger specific actions or further refinements. For example, a Conflict Detection milestone might lead to different resolution strategies depending on whether the conflict is horizontal or vertical, thus making the use of both patterns explicit and separated.

In analyzing the provided model fragment, an inconsistency or incompleteness may manifest as a missing link between conflict detection and resolution, or as an unchecked scenario where a particular conflict type is not adequately addressed. For instance, if the model does not specify how to handle situations where conflicts cannot be resolved within certain constraints, it exhibits an incompleteness or anomaly. To rectify this, one might introduce additional sub-goals or decision nodes that explicitly handle fallback procedures, such as rerouting or delaying aircraft, and establish clear criteria for escalation or termination of conflict resolution efforts.

The anomaly identified is often a gap in the coverage of conflict scenarios or ambiguous conditions that could lead to unresolved conflicts. Rectification involves refining the model to include explicit sub-goals for each potential conflict scenario, ensuring comprehensive handling, and incorporating decision points that guide subsequent actions. For example, adding a goal for Reroute Aircraft only when conflict cannot be resolved within safe parameters ensures robustness and completeness of the system model.

Regarding further refinement, the goals associated with conflict resolution and detection will often require deeper elaboration to specify timing, responsibilities, and decision criteria. For instance, the goal Detect Conflict might need further decomposition into detection accuracy, sensor reliability, and communication channels. Similarly, the goal Resolve Conflict could be refined to include different strategies such as altitude change, course alteration, or holding patterns, each with associated sub-goals, to ensure all possible decisions are explicitly modeled.

In conclusion, effective modeling of the air traffic control system's key goals using structured goal refinement patterns ensures robustness, clarity, and completeness. Addressing anomalies and incomplete areas in the model is crucial for creating realistic, implementable requirements that enhance safety and operational efficiency. Future efforts should focus on thorough scenario analysis, incorporating real-time data considerations, and leveraging formal verification tools to validate the goal models.

References

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