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Obstacle Categories and Prevention” Please respond to the following:
Suppose that you are performing an obstacle analysis of the software that you developed for the self-parking car discussed previously. Determine which of the following obstacle categories you would apply during the analysis: hazard obstacles, threat obstacles, dissatisfaction obstacles, misinformation obstacles, inaccuracy obstacles, and usability obstacles. Defend the selected category that you selected with two examples.
The alternative techniques for obstacle prevention are goal weakening, obstacle reduction, goal restoration, obstacle mitigation, and doing nothing. Examine the alternative techniques and select the one that you would use for obstacle presentation. Defend your selection.
Classmates:
Suppose that you are performing an obstacle analysis of the software that you developed for the self-parking car discussed previously. Determine which of the following obstacle categories you would apply during the analysis: hazard obstacles, threat obstacles, dissatisfaction obstacles, misinformation obstacles, inaccuracy obstacles, and usability obstacles. Defend the selected category that you selected with two examples.
I would choose hazard obstacles, threat obstacles, and misinformation obstacles. An obstacle is a condition that causes non-satisfaction of a goal (Lamsweerde, 2009). Hazzard obstacles are important because they can prevent a self-parking car from adequately parking itself. For example, if the car is trying to parking in a parallel parking spot and there is a shopping cart slightly over the cub and on the line between the space and the car behind, the self-parking system needs sense it and re-calculate in order park fully in the spot. The system also needs to detect when people are in standing in the parking space and prevent the car from backing up or pulling into the space.
Threat obstacles also need to be considered. For example, when parallel parking, the system needs to detect when cars behind are either not stopping and/or are too close to continue parallel parking. When pulling into a parking spot in a shopping center, the system needs to detect when a car is weaving in and out of parking spaces illegally and prevent the car from colliding with the other car.
Misinformation obstacles have to be considered because conditions can occur that prevent the system from accurately understanding information in its environment. For example, hacking can cause the system to misinterpret data in the environment. Sensors could think there is a cone or shopping cart in a parallel parking spot that is not really there. In addition, the system could register cars as being closer than they really are. Such vulnerabilities need to be mitigated so that the self-parking system can work correctly.
The alternative techniques for obstacle prevention are goal weakening, obstacle reduction, goal restoration, obstacle mitigation, and doing nothing. Examine the alternative techniques and select the one that you would use for obstacle presentation. Defend your selection.
I would choose obstacle reduction to use for obstacle presentation. Obstacles cannot be eliminated entirely so self-parking car technology needs to correctly interpret obstacles and make safe decisions accurately. For example, cars weaving in and out of parking lots cannot be prevented. Nor can fast approaching vehicles be prevented from getting to close to the car while it is trying to parallel park. As a result, the system needs to detect these obstacles and know when it is safe to park.
References
Lamsweerde, A. V. (2009). Requirements Engineering: From System Goals to UML Models to Software Specifications. Chichester, West Sussex, England: John Wiley & Sons, Ltd. Retrieved April 29, 2018, from https://strayer.vitalsource.com/#/books/978EUDTE00270/
