Enterprise Architecture Interoperability Meta-Model Extended by Maturity Models.
This is a research in progress.
This meta-model extends this paper by maturity models
1. let lowMaturityProbability : Real = 0.95 in
2. let highMaturityProbability : Real =1 in
3. let sum:Real= self.maturity->iterate(m:MaturityArea;sum:Real=0|sum+m.level) in
4. bernoulli(lowMaturityProbability+((highMaturityProbability-lowMaturityProbability)*(sum/self.maturity->size())))
1. let lowMaturityProbability : Real = 0.057 in
2. let highMaturityProbability : Real =0.008 in
3. let sum:Real= self.maturity->iterate(m:MaturityArea;sum:Real=0|sum+m.level) in
4. bernoulli(lowMaturityProbability+((highMaturityProbability-lowMaturityProbability)*(sum/self.maturity->size())))
1. let lowMaturityProbability : Real = 0.05 in
2. let highMaturityProbability : Real =0 in
3. let sum:Real= self.maturity->iterate(m:MaturityArea;sum:Real=0|sum+m.level) in
4. bernoulli(lowMaturityProbability+((highMaturityProbability-lowMaturityProbability)*(sum/self.maturity->size())))
1. let lowMaturityProbability : Real = 0.935 in
2. let highMaturityProbability : Real =0.985 in
3. let sum:Real= self.maturity->iterate(m:MaturityArea;sum:Real=0|sum+m.level) in
4. bernoulli(lowMaturityProbability+((highMaturityProbability-lowMaturityProbability)*(sum/self.maturity->size())))
1. let lowMaturityProbability : Real = 0.95 in
2. let highMaturityProbability : Real =1 in
3. let sum:Real= self.maturity->iterate(m:MaturityArea;sum:Real=0|sum+m.level) in
4. bernoulli(lowMaturityProbability+((highMaturityProbability-lowMaturityProbability)*(sum/self.maturity->size())))
1. let lowMaturityProbability : Real = 0.95 in
2. let highMaturityProbability : Real =1 in
3. let sum:Real= self.maturity->iterate(m:MaturityArea;sum:Real=0|sum+m.level) in
4. bernoulli(lowMaturityProbability+((highMaturityProbability-lowMaturityProbability)*(sum/self.maturity->size())))
1. let lowMaturityProbability : Real = 0.949 in
2. let highMaturityProbability : Real =0.999 in
3. let sum:Real= self.maturity->iterate(m:MaturityArea;sum:Real=0|sum+m.level) in
4. bernoulli(lowMaturityProbability+((highMaturityProbability-lowMaturityProbability)*(sum/self.maturity->size())))
1. let lowMaturityProbability : Real = 0.949 in
2. let highMaturityProbability : Real =0.999 in
3. let sum:Real= self.maturity->iterate(m:MaturityArea;sum:Real=0|sum+m.level) in
4. bernoulli(lowMaturityProbability+((highMaturityProbability-lowMaturityProbability)*(sum/self.maturity->size())))
1. let lowMaturityProbability : Real = 0.049 in
2. let highMaturityProbability : Real =0.001 in
3. let sum:Real= self.maturity->iterate(m:MaturityArea;sum:Real=0|sum+m.level) in
4. bernoulli(lowMaturityProbability+((highMaturityProbability-lowMaturityProbability)*(sum/self.maturity->size())))
1. let lowMaturityProbability : Real = 0.05 in
2. let highMaturityProbability : Real =0 in
3. let sum:Real= self.maturity->iterate(m:MaturityArea;sum:Real=0|sum+m.level) in
4. bernoulli(lowMaturityProbability+((highMaturityProbability-lowMaturityProbability)*(sum/self.maturity->size())))
1. let lowMaturityProbability : Real = 0.935 in
2. let highMaturityProbability : Real =0.985 in
3. let sum:Real= self.maturity->iterate(m:MaturityArea;sum:Real=0|sum+m.level) in
4. bernoulli(lowMaturityProbability+((highMaturityProbability-lowMaturityProbability)*(sum/self.maturity->size())))
1. let maxProbability : Real = 0.95 in
2. let maturityImpact : Real =1 in
3. let sum:Real= self.maturity->iterate(m:MaturityArea;sum:Real=0|sum+m.level) in
4. bernoulli(lowMaturityProbability+((highMaturityProbability-lowMaturityProbability)*(sum/self.maturity->size())))
1. if (self.drops_injectEvidence=true) then
2. self.drops_EvidenceToInject
3. else
4. if (self.oclIsTypeOf(MPS)) then
5. /** MPS class */
6. let lowMaturityProbability : Real = 0.199 in
7. let highMaturityProbability : Real =0.001 in
8. let sum:Real= self.maturityArea->iterate(m:MaturityArea;
9. sum:Real=0|sum+m.level) in
10. bernoulli(lowMaturityProbability+((highMaturityProbability-
11. lowMaturityProbability)*(sum/self.maturityArea->size())))
12. else
13. /** Actor class */
14. let lowMaturityProbability : Real = 0.198 in
15. let highMaturityProbability : Real =0.008 in
16. let sum:Real= self.maturityArea->iterate(m:MaturityArea;
17. sum:Real=0|sum+m.level) in
18. bernoulli(lowMaturityProbability+((highMaturityProbability-
19. lowMaturityProbability)*(sum/self.maturityArea->size())))
20. endif
21. endif