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points: 0.15 average generation time per instance: 0:27min CPU usage: 350%

points: 0.15 average generation time per instance: 1:40min CPU usage: 350%

points: 0.25 average generation time per instance: 3:00min CPU usage: 150%

points: 0.15 average generation time per instance: 1:10min CPU usage: 355%

points: 0.15 average generation time per instance: 1:17min CPU usage: 346%

points: 0.08 average generation time per instance: 1:07min CPU usage: 227%

points: 0.15

points: 0.15 the amount of generated instances: 100 maximum concurrent amount of tasks: 20 average generation time per instance on the cluster (without considering concurrency): 2:28min total run time on the cluster (not including queuing time): 16:14min

points: 0.15 variant 1: concepts are printed in class diagrams share same instances as task2025_14 average concept generation time per instance (no concurrency): 10~15 mins used LLM model for generation: gpt-5 approximate input tokens: 3.575 M (1.25 $ / 1M tokens) approximate output tokens: 4.437 M (10 $ / 1M tokens) approximate cost: 48.84 $

points: 0.15 variant 2: concepts are printed in object diagrams share same instances as task2025_14 share same concept injection as task2025_15

points: 0.15 variant 3: Give scenario descriptions instead of class diagrams with object diagrams share same instances as task2025_14 share same concept injection as task2025_15 used LLM for story generation: gpt-4o-mini

points: 0.15 variant 4: Only give object diagrams share same instances as task2025_14 share same concept injection as task2025_15