public static StatisticsResult FromCSVLine(string csvline)
{
string[] tmp = csvline.Split(';');
Debug.Assert(2 == tmp.Length);
int bugId = int.Parse(tmp[0]);
IEnumerable <int> matchedNumbers = tmp[1]
.Split(new char[] { ',' }, StringSplitOptions.RemoveEmptyEntries)
.Select(matchString => int.Parse(matchString));
StatisticsResult sr = new StatisticsResult(bugId);
foreach (int i in Enumerable.Range(0, NUMBER_OF_EXPERTS))
{
sr.Matches[i] = matchedNumbers.Contains(i);
}
return(sr);
}
private StatisticsResult CalculateResultForOneAlgorithmAndBug(int algorithmId, int bugId, List <int> actualReviewerIds)
{
StatisticsResult sr = new StatisticsResult(bugId);
ComputedReviewer currentReviewerSet;
using (ExpertiseDBEntities context = new ExpertiseDBEntities())
{
currentReviewerSet = context.ComputedReviewers.Single(cr => cr.AlgorithmId == algorithmId && cr.BugId == bugId);
}
sr.Matches[0] = actualReviewerIds.Contains(currentReviewerSet.Expert1Id ?? -1); // the magic "-1" never matches
sr.Matches[1] = actualReviewerIds.Contains(currentReviewerSet.Expert2Id ?? -1);
sr.Matches[2] = actualReviewerIds.Contains(currentReviewerSet.Expert3Id ?? -1);
sr.Matches[3] = actualReviewerIds.Contains(currentReviewerSet.Expert4Id ?? -1);
sr.Matches[4] = actualReviewerIds.Contains(currentReviewerSet.Expert5Id ?? -1);
return(sr);
}
