public void Issue_delivery_based_on_throughput()
{
var sut = new Forecasting();
var result = sut.WhenWillTheIssuesBeDone(new DateTime(2019, 11, 18), 10, _historicalData);
foreach (var x in result.Entries)
{
_testOutputHelper.WriteLine($"{x.DaysUntilDelivery}\t{x.Probability}\t{x.Percentile}");
}
}
public void Run()
{
const int INITIAL_NUMBER_OF_ISSUES = 5;
var sut = new Forecasting();
var issues = IssueRepository.Import().ToList();
var cts = issues.Select(x => x.CycleTime.Days).ToArray();
var ctsDistribution = Statistics.Distribution(cts);
Export("CTs 2019-11-06.csv", ctsDistribution);
var tps = issues.BusinessDayThroughputs();
var tpsDistribution = Statistics.Distribution(tps);
Export("TPs 2019-11-06.csv", tpsDistribution);
// initial forecast
var numberOfIssues = INITIAL_NUMBER_OF_ISSUES;
var fc = sut.WhenWillTheIssuesBeDone(new DateTime(2019, 11, 6), numberOfIssues, issues.ToArray());
Export(new DateTime(2019, 11, 6), fc);
// updating forecast after first issue got delivered
issues.Add(new Issue(new DateTime(2019, 11, 6), new DateTime(2019, 11, 7), null, null, false));
numberOfIssues += -1;
fc = sut.WhenWillTheIssuesBeDone(new DateTime(2019, 11, 7), numberOfIssues, issues.ToArray());
Export(new DateTime(2019, 11, 7), fc);
issues.Add(new Issue(new DateTime(2019, 11, 7), new DateTime(2019, 11, 8), null, null, false));
numberOfIssues += -1;
fc = sut.WhenWillTheIssuesBeDone(new DateTime(2019, 11, 8), numberOfIssues, issues.ToArray());
Export(new DateTime(2019, 11, 8), fc);
issues.Add(new Issue(new DateTime(2019, 11, 6), new DateTime(2019, 11, 11), null, null, false));
numberOfIssues += -1 + 2;
fc = sut.WhenWillTheIssuesBeDone(new DateTime(2019, 11, 11), numberOfIssues, issues.ToArray());
Export(new DateTime(2019, 11, 11), fc);
issues.Add(new Issue(new DateTime(2019, 11, 11), new DateTime(2019, 11, 13), null, null, false));
numberOfIssues += -1;
fc = sut.WhenWillTheIssuesBeDone(new DateTime(2019, 11, 13), numberOfIssues, issues.ToArray());
Export(new DateTime(2019, 11, 13), fc);
issues.Add(new Issue(new DateTime(2019, 11, 8), new DateTime(2019, 11, 14), null, null, false));
numberOfIssues += -1 + 1;
fc = sut.WhenWillTheIssuesBeDone(new DateTime(2019, 11, 14), numberOfIssues, issues.ToArray());
Export(new DateTime(2019, 11, 14), fc);
issues.Add(new Issue(new DateTime(2019, 11, 11), new DateTime(2019, 11, 15), null, null, false));
numberOfIssues += -1;
fc = sut.WhenWillTheIssuesBeDone(new DateTime(2019, 11, 15), numberOfIssues, issues.ToArray());
Export(new DateTime(2019, 11, 15), fc);
issues.Add(new Issue(new DateTime(2019, 11, 13), new DateTime(2019, 11, 18), null, null, false));
numberOfIssues += -1 + 2;
fc = sut.WhenWillTheIssuesBeDone(new DateTime(2019, 11, 18), numberOfIssues, issues.ToArray());
Export(new DateTime(2019, 11, 18), fc);
issues.Add(new Issue(new DateTime(2019, 11, 15), new DateTime(2019, 11, 19), null, null, false));
numberOfIssues += -1;
fc = sut.WhenWillTheIssuesBeDone(new DateTime(2019, 11, 19), numberOfIssues, issues.ToArray());
Export(new DateTime(2019, 11, 19), fc);
issues.Add(new Issue(new DateTime(2019, 11, 18), new DateTime(2019, 11, 20), null, null, false));
numberOfIssues += -1;
fc = sut.WhenWillTheIssuesBeDone(new DateTime(2019, 11, 20), numberOfIssues, issues.ToArray());
Export(new DateTime(2019, 11, 20), fc);
issues.Add(new Issue(new DateTime(2019, 11, 18), new DateTime(2019, 11, 21), null, null, false));
numberOfIssues += -1;
Assert.Equal(0, numberOfIssues);
// rear mirror wisdom
fc = sut.WhenWillTheIssuesBeDone(new DateTime(2019, 11, 6), INITIAL_NUMBER_OF_ISSUES + 5, issues.ToArray());
File.Move("2019-11-06.csv", "2019-11-06-v1.csv", true);
Export(new DateTime(2019, 11, 6), fc);
File.Move("2019-11-06.csv", "2019-11-06-v2.csv", true);
cts = issues.Select(x => x.CycleTime.Days).ToArray();
ctsDistribution = Statistics.Distribution(cts);
Export("CTs 2019-11-21.csv", ctsDistribution);
tps = issues.BusinessDayThroughputs();
tpsDistribution = Statistics.Distribution(tps);
Export("TPs 2019-11-21.csv", tpsDistribution);
}