Research Article

Bayesian and Fuzzy Approach to Assess and Predict the Maintainability of Software: A Comparative Study

Table 5

Information about membership functions associated with the second FIS.

Output variables 𝑐 1 𝑐 2 𝑐 3

3.9–9.1250.315521930.0134112712.3337046 𝐸 7
9.125–14.350.310527860.0620481521.659625 𝐸 5
14.35–19.5750.23271990.147565722.007459 𝐸 4
19.575–24.80.110201190.212720830.0065820036
24.8–30.0250.0275857930.226460890.039424136
30.025–35.250.00327004240.189765660.11653791
35.25–40.4751.7260591 𝐸 40.107996990.19554493
40.475–45.73.9161127 𝐸 60.0343153770.22718826
45.7–50.9253.7389842 𝐸 80.00532851650.20863116
50.925–56.151.4826267 𝐸 103.7498344 𝐸 40.13919194
56.15–61.3752.4211362 𝐸 131.1459871 𝐸 50.05524505
61.375–66.61.5715541 𝐸 161.4830746 𝐸 70.011137037