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Journal of Software Engineering Research and Development

Table 11 Reuse 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

1

Flights

M

15

04:19.952015

2

Clinic

M

10

02:59.467569

1

Flights

M

13

04:58.604963

1

Restaurant

M

13

03:56.785359

1

Flights

M

8

05:18.346829

1

Restaurant

M

15

04:23.629206

2

Delivery

M

11

05:24.249952

2

Clinic

M

11

04:25.196135

2

Delivery

M

5

05:31.653952

1

Restaurant

M

8

04:33.954349

2

Delivery

M

9

05:45.484577

2

Clinic

M

9

04:41.254920

2

Delivery

M

3

06:16.392424

1

Restaurant

M

12

05:05.524264

2

Delivery

M

10

06:45.968790

2

Clinic

M

3

05:45.333167

2

Delivery

M

14

07:05.858718

2

Clinic

M

14

05:57.009310

2

Delivery

M

6

07:39.300214

2

Clinic

M

5

06:31.365498

2

Delivery

M

2

08:02.570996

2

Clinic

M

2

06:59.967490

1

Flights

M

1

08:38.698360

2

Restaurant

C

2

07:18.927029

2

Flights

C

2

08:42.389884

2

Clinic

M

6

07:45.403075

1

Flights

M

16

10:18.809487

2

Restaurant

C

10

08:56.765163

1

Delivery

C

13

10:25.359836

1

Clinic

C

16

09:20.284593

2

Flights

C

9

10:51.761493

1

Restaurant

M

7

09:23.574403

1

Flights

M

7

10:52.183247

1

Restaurant

M

4

09:25.089084

2

Flights

C

10

10:52.495216

2

Restaurant

C

14

09:27.112225

1

Delivery

C

8

11:39.151434

2

Restaurant

C

3

09:55.736324

1

Delivery

C

15

12:03.519008

1

Clinic

C

15

10:25.475603

1

Flights

M

4

12:17.693128

2

Restaurant

C

5

10:37.460834

2

Flights

C

3

12:26.993837

2

Restaurant

C

9

10:49.014842

2

Flights

C

14

12:49.585392

1

Restaurant

M

16

10:56.743477

2

Flights

C

11

13:04.272941

1

Clinic

C

13

11:04.485390

1

Delivery

C

4

13:16.470523

1

Clinic

C

4

12:06.690347

1

Delivery

C

1

15:47.376327

1

Clinic

C

8

13:38.014602

1

Delivery

C

16

18:02.259692

1

Clinic

C

12

14:37.197260

1

Flights

M

12

20:03.920754

1

Restaurant

M

1

17:09.073104

2

Flights

C

5

21:32.272442

2

Restaurant

C

11

17:11.980052

2

Flights

C

6

23:10.727760

1

Clinic

C

7

19:35.816561

1

Delivery

C

7

23:20.991158

2

Restaurant

C

6

28:02.391335

1

Delivery

C

12

41:29.414342

1

Clinic

C

1

28:18.301114

  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.
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