# Risk Analysis Tool

Contents

[
Hide
Show
]**Performing Risk Analysis**

Aspose.Tasks for .NET API supports performing risk analysis on a Project data file. This is based on the Monte Carlo simulation that supports different probability distributions and correlations. The Aspose.Tasks.RiskAnalysis.RiskAnalyzer class can be used to perform the risk analysis that is based on a project schedule (task durations and their start/finish dates). So, a project Finish date can be the output of such analysis. The following example illustrates this functionality step-by-step.

**Performing Risk Analysis**

**Preparing Analysis Settings**

```
1RiskAnalysisSettings settings = new RiskAnalysisSettings();
2
3// Set number of iterations for Monte Carlo simulation (the default value is 100).
4settings.IterationsCount = 200;
```

**Identifying the Input of Analysis**

```
1Project project = new Project("New Project.mpp");
2Task task = project.RootTask.Children.GetById(17);
3
4// Initialize a risk pattern
5RiskPattern pattern = new RiskPattern(task);
6
7// Select a distribution type for the random number generator to generate possible values from (only two types currently supported, namely normal and uniform)
8// For more details see here: https://en.wikipedia.org/wiki/Normal_distribution)
9pattern.Distribution = ProbabilityDistributionType.Normal;
10
11// Set the percentage of the most likely task duration which can happen in the best possible project scenario
12// The default value is 75, which means that if the estimated specified task duration is 4 days then the optimistic duration will be 3 days
13pattern.Optimistic = 70;
14
15// Set the percentage of the most likely task duration which can happen in the worst possible project scenario
16// The default value is 125, which means that if the estimated specified task duration is 4 days then the pessimistic duration will be 5 days.
17pattern.Pessimistic = 130;
18
19// Set a confidence level that correspond to the percentage of the time the actual values will be within optimistic and pessimistic estimates.
20// You can think of it as a value of standard deviation: the more uncertain about your estimates you are, the more the value of standard deviation used in random number generator is
21pattern.ConfidenceLevel = ConfidenceLevel.CL75;
22
23settings.Patterns.Add(pattern);
```

```
1// Analyze the project risks
2RiskAnalyzer analyzer = new RiskAnalyzer(settings);
3RiskAnalysisResult analysisResult = analyzer.Analyze(project);
```

**Use the Results of the Analysis**

```
1// Select the desired output (here we get early finish of the root task)
2RiskItemStatistics rootEarlyFinish = analysisResult.GetRiskItems(RiskItemType.EarlyFinish).Get(project.RootTask);
3Console.WriteLine("Expected value: {0}", rootEarlyFinish.ExpectedValue);
4Console.WriteLine("StandardDeviation: {0}", rootEarlyFinish.StandardDeviation);
5Console.WriteLine("10% Percentile: {0}", rootEarlyFinish.GetPercentile(10));
6Console.WriteLine("50% Percentile: {0}", rootEarlyFinish.GetPercentile(50));
7Console.WriteLine("90% Percentile: {0}", rootEarlyFinish.GetPercentile(90));
8Console.WriteLine("Minimum: {0}", rootEarlyFinish.Minimum);
9Console.WriteLine("Maximum: {0}", rootEarlyFinish.Maximum);
10analysisResult.SaveReport("AnalysisReport_out.pdf");
```