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FBAM

Football Architecture Model

Football can be described in system architectural terms.

While football is primarily a physical sport, it involves various systems and components that work together to achieve specific objectives.

Here’s a high-level description of how football can be seen from a system architectural perspective:

  1. System Components:
  • Players: The athletes who participate in the game, each with specific roles and responsibilities.
  • Ball: The central object of the game, passed and manipulated by players.
  • Field: The playing surface, typically rectangular, with specific markings.
  1. System Boundaries:
  • Pitch: The defined playing area within which the game takes place.
  • Rules and Regulations: A set of governing rules and regulations that define how the game is played.
  1. Subsystems:
  • Offense and Defense: Two primary subsystems, each with its own set of players and strategies.
  • Referees and Officials: Responsible for enforcing the rules and ensuring fair play.
  • Coaching Staff: Responsible for strategy development and player management.
  1. Interfaces:
  • Passing and Movement: Interfaces between players, involving passing, dribbling, and teamwork.
  • Referee-Player Communication: Players communicate with referees for various reasons, such as disputing calls.
  1. Data Flow:
  • Ball Movement Data: Data related to the trajectory and position of the ball.
  • Player Movement Data: Tracking player positions, speed, and actions.
  • Scoreboard Data: Displaying the current score and game time.
  1. Feedback Loops:
  • Scoring System: Feedback loop that updates the score based on goals scored.
  • Referee Decisions: Referees make decisions based on observed events.
  1. Control Mechanisms:
  • Coaching Strategies: Coaches provide instructions and strategies to players.
  • Referee Decisions: Referees maintain control of the game and enforce rules.
  1. Performance Metrics:
  • Goal Scoring Efficiency: Metrics related to how efficiently teams convert opportunities into goals.
  • Possession Statistics: Metrics related to ball possession and control.
  • Player Statistics: Individual player performance metrics.
  1. Emergent Behavior:
  • Team Dynamics: The collective behavior and strategies of a team that emerge during gameplay.
  • Excitement and Entertainment: The overall entertainment value of the game, influenced by player performance and fan engagement.
  1. Adaptability: Football systems can adapt to various factors such as weather conditions, player injuries, and changes in strategy during a match.

In this architectural perspective, football is viewed as a complex system with multiple components, interactions, and feedback mechanisms. It can be analyzed and optimized for various objectives, such as winning games, entertaining fans, or improving player performance.

Creating a complete ArchiMate model for football would be quite complex and detailed, here is a simplified version of an ArchiMate model that represents some key elements related to a football match.

Please note that this is a basic representation for demonstration purposes:

<?xml version="1.0" encoding="UTF-8"?>
<model xmlns="http://www.opengroup.org/xsd/archimate/3.0/"
       xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
       xsi:schemaLocation="http://www.opengroup.org/xsd/archimate/3.0/ http://www.opengroup.org/xsd/archimate/3.0/archimate3_DiagramModel.xsd"
       id="FootballModel" name="Football Match Model" version="3.0">

  <!-- Elements -->
  <!-- Actors -->
  <element id="Team1" name="Team 1" xsi:type="archimate:BusinessActor"/>
  <element id="Team2" name="Team 2" xsi:type="archimate:BusinessActor"/>
  <element id="Referee" name="Referee" xsi:type="archimate:BusinessActor"/>

  <!-- Functions -->
  <element id="KickOff" name="Kick-Off" xsi:type="archimate:BusinessFunction"/>
  <element id="Pass" name="Pass" xsi:type="archimate:BusinessFunction"/>
  <element id="ScoreGoal" name="Score Goal" xsi:type="archimate:BusinessFunction"/>

  <!-- Data Objects -->
  <element id="Ball" name="Ball" xsi:type="archimate:DataObject"/>

  <!-- Relationships -->
  <!-- Actors to Functions -->
  <relation id="Team1PerformsKickOff" xsi:type="archimate:Assignment">
    <source xsi:type="archimate:BusinessActor" ref="Team1"/>
    <target xsi:type="archimate:BusinessFunction" ref="KickOff"/>
  </relation>

  <relation id="Team2PerformsKickOff" xsi:type="archimate:Assignment">
    <source xsi:type="archimate:BusinessActor" ref="Team2"/>
    <target xsi:type="archimate:BusinessFunction" ref="KickOff"/>
  </relation>

  <relation id="PlayerPassesBall" xsi:type="archimate:Assignment">
    <source xsi:type="archimate:BusinessActor" ref="Team1"/>
    <target xsi:type="archimate:BusinessFunction" ref="Pass"/>
  </relation>

  <!-- Functions to Data Objects -->
  <relation id="KickOffUsesBall" xsi:type="archimate:Association">
    <source xsi:type="archimate:BusinessFunction" ref="KickOff"/>
    <target xsi:type="archimate:DataObject" ref="Ball"/>
  </relation>

  <relation id="PassUsesBall" xsi:type="archimate:Association">
    <source xsi:type="archimate:BusinessFunction" ref="Pass"/>
    <target xsi:type="archimate:DataObject" ref="Ball"/>
  </relation>

  <relation id="ScoreGoalUsesBall" xsi:type="archimate:Association">
    <source xsi:type="archimate:BusinessFunction" ref="ScoreGoal"/>
    <target xsi:type="archimate:DataObject" ref="Ball"/>
  </relation>

  <!-- Referee Relationship -->
  <relation id="RefereeManagesMatch" xsi:type="archimate:Assignment">
    <source xsi:type="archimate:BusinessActor" ref="Referee"/>
    <target xsi:type="archimate:BusinessFunction" ref="KickOff"/>
  </relation>
</model>

In this simplified ArchiMate model:

  • There are three actors: “Team 1,” “Team 2,” and the “Referee.”
  • Three business functions represent key actions in the football match: “Kick-Off,” “Pass,” and “Score Goal.”
  • The “Ball” is represented as a data object.
  • Relationships (assignments and associations) show how actors perform functions and how functions use data objects.

Please note that this is a highly abstracted representation for demonstration purposes.

A more comprehensive model would include additional elements, relationships, and layers to capture the complexities of a football match, including players, positions, tactics, and more.

,
,

Peter Jones