Table 3 Fitting performance comparisons for SRGMs using fault datasets of big data system software.

From: A software reliability model for open source big data systems based on Weibull–Weibull distribution

Model

DS1-1 (100%)

DS1-2 (100%)

DS1-3 (100%)

DS2-1 (100%)

DS2-2 (100%)

DS2-3 (100%)

MSE

R2

TS

MEOP

MSE

R2

TS

MEOP

MSE

R2

TS

MEOP

MSE

R2

TS

MEOP

MSE

R2

TS

MEOP

MSE

R2

TS

MEOP

G-O model

30.75

0.5639

51.95

4.626

6.55

0.532

48.77

1.8703

23.94

0.647

44.13

4.2536

295.37

0.2664

77.74

11.575

269.7

0.4205

65.36

13.764

161.42

0.5532

53.94

10.2

DSS model

12.6

0.8213

33.25

2.9405

3.8

0.7283

37.17

1.5774

7.49

0.8896

24.68

2.3913

222.08

0.4485

67.41

9.967

156.15

0.6645

49.73

10.012

67.26

0.8138

34.82

6.3898

ISS model

1.21

0.9835

10.1

0.9645

1.53

0.8928

23.34

1.1102

1.22

0.9832

9.63

0.9293

90.68

0.7799

42.58

5.9381

33.82

0.9296

22.78

4.0495

1.37

0.9963

4.92

0.9587

GGO model

10.93

0.8509

30.37

2.0638

3.24

0.774

33.89

1.5371

2.37

0.9673

13.42

1.3798

186.26

0.5479

61.03

61.03

77.01

0.8397

34.38

6.4131

40.45

0.8902

26.74

4.9571

Zhang-Teng -Pham model

18.47

0.7783

37.03

3.9889

2.11

0.8626

26.43

1.3393

9.59

0.8963

23.91

3.1635

143.94

0.675

51.74

8.1141

267.46

0.4972

60.89

14.262

27.33

0.9303

21.31

4.3374

Li model

5.42

0.929

20.96

1.966

3.04

0.7927

32.46

1.448

15.22

0.8055

32.75

3.6469

164.28

0.6106

56.64

8.8897

67.16

0.8647

31.58

6.2025

19.14

0.9491

18.21

3.5553

Proposed model

1.04

0.9869

9.01

0.9098

0.77

0.9488

16.14

0.6802

1.18

0.9861

8.75

0.8979

17.24

0.9601

18.13

3.0331

6.23

0.9879

9.46

2.1465

1.33

0.9965

4.76

0.8456