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Table 15 Maintenance process timings

From: Model-based reuse for crosscutting frameworks: assessing reuse and maintenance effort

Primary execution Secondary execution
G A T P Time G A T P Time
2 Flights C 10 02:30.944685 2 Clinic M 5 01:43.801965
2 Flights C 9 02:54.232578 2 Clinic M 3 02:17.158954
1 Delivery C 8 03:02.751342 1 Clinic C 8 02:34.248260
2 Flights C 2 03:11.695431 1 Clinic C 14 02:57.405545
1 Delivery C 15 03:31.801582 2 Restaurant C 2 03:01.547524
2 Flights C 12 03:45.692316 2 Restaurant C 10 03:09.169865
2 Flights C 3 05:09.817914 2 Clinic M 2 03:25.640129
2 Flights C 5 05:44.462030 2 Restaurant C 3 03:39.443080
1 Flights M 8 05:53.407296 1 Clinic C 7 04:28.998071
2 Flights C 11 07:08.687074 2 Restaurant C 6 04:35.517498
2 Flights C 6 07:38.576312 2 Restaurant C 12 04:41.052812
1 Flights M 4 07:53.595699 2 Restaurant C 11 04:46.028085
1 Flights M 14 08:14.148937 1 Restaurant M 8 04:51.290971
2 Delivery M 3 08:27.092566 2 Clinic M 6 04:53.800449
1 Delivery C 1 08:37.138931 1 Restaurant M 15 04:58.094389
1 Flights M 13 08:50.185469 1 Clinic C 15 05:21.846560
1 Flights M 1 09:15.253791 2 Restaurant C 5 05:42.389865
2 Delivery M 5 09:15.934211 2 Clinic M 10 07:18.533351
1 Delivery C 14 09:32.031612 1 Restaurant M 14 07:24.342788
1 Delivery C 7 10:04.694800 1 Clinic C 16 07:37.332151
1 Flights M 15 11:07.617639 1 Restaurant M 1 07:44.516376
2 Delivery M 6 11:32.482992 2 Clinic M 11 08:08.144168
2 Delivery M 2 11:49.247460 2 Restaurant C 9 08:13.115942
1 Delivery C 16 12:12.576158 1 Restaurant M 13 08:32.056119
1 Flights M 7 12:27.297563 1 Restaurant M 16 11:28.592180
1 Delivery C 13 12:49.443610 1 Restaurant M 7 11:45.459699
2 Delivery M 11 13:00.604583 2 Clinic M 9 12:42.958789
1 Delivery C 4 13:25.433748 1 Restaurant M 4 13:57.879299
2 Delivery M 9 15:51.117061 1 Clinic C 1 14:46.465482
2 Delivery M 12 15:56.048486 1 Clinic C 4 17:55.176353
2 Delivery M 10 21:23.533192 1 Clinic C 13 18:02.486509
1 Flights M 16 32:32.875079 2 Clinic M 12 25:54.176697
  1. The timings table contains data captured for each study, in this case, the maintenance study. By analysing this table, it is possible to identify the time of each participant, their group, the technique and the considered application.