public void RunBeforeEachTest()
{
oracle = new TLSimilarityMatrix();
oracle.AddLink("A", "B*", 1);
oracle.AddLink("A", "C*", 1);
oracle.AddLink("A", "D*", 1);
sims = new TLSimilarityMatrix();
/* Sorted order:
* sims.AddLink("A", "B*", 10);
* sims.AddLink("A", "E", 9);
* sims.AddLink("A", "F", 8);
* sims.AddLink("A", "C*", 7);
* sims.AddLink("A", "G", 6);
* sims.AddLink("A", "H", 5);
* sims.AddLink("A", "I", 4);
* sims.AddLink("A", "J", 3);
* sims.AddLink("A", "D*", 2);
* sims.AddLink("A", "K", 1);
*/
sims.AddLink("A", "G", 6);
sims.AddLink("A", "K", 1);
sims.AddLink("A", "B*", 10);
sims.AddLink("A", "E", 9);
sims.AddLink("A", "J", 3);
sims.AddLink("A", "F", 8);
sims.AddLink("A", "C*", 7);
sims.AddLink("A", "H", 5);
sims.AddLink("A", "D*", 2);
sims.AddLink("A", "I", 4);
}
/// <summary>
/// Computes the cosine similarity between the given document pairs in the matrix
/// </summary>
/// <param name="matrix">Term-by-document matrix</param>
/// <param name="sourceIDs">Collection of source artifacts ids</param>
/// /// <param name="targetIDs">Collection of target artifacts ids</param>
/// <returns>Similarity matrix</returns>
public static TLSimilarityMatrix ComputeCosine(TermDocumentMatrix matrix, IEnumerable <string> sourceIDs, IEnumerable <string> targetIDs)
{
TLSimilarityMatrix sims = new TLSimilarityMatrix();
foreach (string sourceID in sourceIDs)
{
double[] sourceDoc = matrix.GetDocument(sourceID);
foreach (string targetID in targetIDs)
{
// compute cosine similarity between source and target
double[] targetDoc = matrix.GetDocument(targetID);
double lengthProduct = ComputeLength(sourceDoc) * ComputeLength(targetDoc);
if (lengthProduct == 0.0)
{
sims.AddLink(sourceID, targetID, 0.0);
}
else
{
double score = ComputeDotProduct(sourceDoc, targetDoc) / lengthProduct;
sims.AddLink(sourceID, targetID, score);
}
}
}
return(sims);
}
/// <summary>
/// Imports a file in the form (each line):
/// SOURCE TARGET SCORE
/// </summary>
/// <param name="filename">Similarities file</param>
/// <returns>Similarity matrix</returns>
public static TLSimilarityMatrix Import(String filename)
{
StreamReader file = new StreamReader(filename);
TLSimilarityMatrix answer = new TLSimilarityMatrix();
String line;
int num = 0;
while ((line = file.ReadLine()) != null)
{
num++;
if (String.IsNullOrWhiteSpace(line))
{
continue;
}
try
{
String[] artifacts = line.Split();
String source = artifacts[0];
String target = artifacts[1];
double score = Convert.ToDouble(artifacts[2]);
answer.AddLink(source, target, score);
}
catch (IndexOutOfRangeException e)
{
file.Close();
throw new InvalidDataException("Invalid data format on line " + num + " of file:" + filename, e);
}
}
file.Close();
return(answer);
}
/// <summary>
/// Imports script results
/// </summary>
/// <param name="result">RScriptResults object</param>
/// <returns>Script results</returns>
public override object ImportResults(RScriptResult result)
{
TextReader rfile = new StreamReader(_outputFile);
string rawdata = rfile.ReadToEnd();
rfile.Close();
TLSimilarityMatrix matrix = new TLSimilarityMatrix();
string[] sims = rawdata.Remove(0, 2).Replace(")", String.Empty).Split(new char[] { ',' }, StringSplitOptions.RemoveEmptyEntries);
int src = 0;
int tgt = _source.DocMap.Count;
if (sims.Length != _source.DocMap.Count * _target.DocMap.Count)
{
throw new RDataException("Results are incorrect size: " + sims.Length + " vs " + (_source.DocMap.Count * _target.DocMap.Count));
}
foreach (string sim in sims)
{
matrix.AddLink(_source.DocMap[src], _target.DocMap[tgt - _source.DocMap.Count], Convert.ToDouble(sim.Trim()));
tgt++;
if (tgt == _source.DocMap.Count + _target.DocMap.Count)
{
tgt = _source.DocMap.Count;
src++;
}
}
return(matrix);
}
public void SimilarityMatrixRawSerializationTest()
{
string[] sources = new string[] { "source1", "source2", "source3", "source4", "source5", "source6", "source7", "source8", "source9", "source10" };
string[] targets = new string[] { "target1", "target2", "target3", "target4", "target5", "target6", "target7", "target8", "target9", "target10" };
TLSimilarityMatrix matrixIn = new TLSimilarityMatrix();
for (int i = 0; i < sources.Length; i++)
{
matrixIn.AddLink(sources[i], targets[i], (double)i);
}
BinaryWriter binWriter = new BinaryWriter(new MemoryStream());
BinaryReader binReader = new BinaryReader(binWriter.BaseStream);
matrixIn.WriteData(binWriter);
binReader.BaseStream.Position = 0;
TLSimilarityMatrix matrixOut = new TLSimilarityMatrix();
matrixOut.ReadData(binReader);
Assert.AreEqual(matrixIn.Count, matrixOut.Count);
StringHashSet setIn = matrixIn.SourceArtifactsIds;
StringHashSet setOut = matrixOut.SourceArtifactsIds;
foreach (string artifact in setIn)
{
Assert.IsTrue(setOut.Contains(artifact));
}
}
private static TLSimilarityMatrix Process(TLArtifactsCollection sourceArtifacts, TLDictionaryIndex dict, TracerConfig config)
{
if (sourceArtifacts == null)
{
throw new ComponentException("Received null sourceArtifacts");
}
if (dict == null)
{
throw new ComponentException("Received null dictionaryIndex");
}
TLSimilarityMatrix similarityMatrix = new TLSimilarityMatrix();
Searcher searcher = new Searcher(SimilarityMetricFactory.GetSimiliarityMetric(config.SimilarityMetric));
// Iterates over all the source artifacts to determine the probabilities to target artifacts - by executing a search
foreach (TLArtifact sourceArtifact in sourceArtifacts.Values)
{
String query = sourceArtifact.Text;
// Executes the query
List <Result> results;
results = searcher.search(query, dict);
// Iterates over the results and stores them in the matrix
foreach (Result r in results)
{
string targetArtifactId = r.ArtifactId;
similarityMatrix.AddLink(sourceArtifact.Id, targetArtifactId, r.Ranking);
}
}
return(similarityMatrix);
}
/// <summary>
/// Computes cosine similarities between two TermDocumentMatrices.
/// Cosine similarity is defined as (dot product) / (length * length)
/// </summary>
/// <param name="m1">Binary document matrix</param>
/// <param name="m2">tf-idf weighted document matrix</param>
/// <returns>Similarity matrix</returns>
public static TLSimilarityMatrix ComputeCosine(TermDocumentMatrix m1, TermDocumentMatrix m2)
{
TLSimilarityMatrix sims = new TLSimilarityMatrix();
List <TermDocumentMatrix> matrices = TermDocumentMatrix.Equalize(m1, m2);
for (int i = 0; i < m1.NumDocs; i++)
{
TLLinksList links = new TLLinksList();
for (int j = 0; j < m2.NumDocs; j++)
{
double lengthProduct = ComputeLength(matrices[0].GetDocument(i)) * ComputeLength(matrices[1].GetDocument(j));
if (lengthProduct == 0.0)
{
links.Add(new TLSingleLink(m1.GetDocumentName(i), m2.GetDocumentName(j), 0.0));
}
else
{
links.Add(new TLSingleLink(m1.GetDocumentName(i), m2.GetDocumentName(j), ComputeDotProduct(matrices[0].GetDocument(i), matrices[1].GetDocument(j)) / lengthProduct));
}
}
links.Sort();
foreach (TLSingleLink link in links)
{
sims.AddLink(link.SourceArtifactId, link.TargetArtifactId, link.Score);
}
}
return(sims);
}
/// <summary>
/// Import script results
/// </summary>
/// <param name="result">RScriptResults object</param>
/// <returns>Script results</returns>
public override object ImportResults(RScriptResult result)
{
// index = id - 1
string[] ids = Generics.ImportStrings(_mapFile);
TextReader resultsMatrix = new StreamReader(_outputFile);
TLSimilarityMatrix matrix = new TLSimilarityMatrix();
string[] sources = resultsMatrix.ReadLine().Split();
string line;
while ((line = resultsMatrix.ReadLine()) != null)
{
if (String.IsNullOrWhiteSpace(line))
{
continue;
}
// [0] target id, [x+] source sims index = x - 1
string[] entries = line.Split();
string entry = ids[Convert.ToInt32(entries[0]) - 1];
for (int i = 0; i < sources.Length; i++)
{
matrix.AddLink(ids[Convert.ToInt32(sources[i]) - 1], entry, Convert.ToDouble(entries[i + 1]));
}
}
resultsMatrix.Close();
return(matrix);
}
public static TLSimilarityMatrix CreateMatrix(TLLinksList list)
{
TLSimilarityMatrix matrix = new TLSimilarityMatrix();
foreach (TLSingleLink link in list)
{
matrix.AddLink(link.SourceArtifactId, link.TargetArtifactId, link.Score);
}
return(matrix);
}
// this takes a long time
public static void RemoveNonExecutedMethods(ref TLSimilarityMatrix sourceMatrix, ref TLSimilarityMatrix targetMatrix, String feature, Dictionary <string, int> executedMethods)
{
foreach (TLSingleLink link in sourceMatrix.AllLinks)
{
if (link.SourceArtifactId == feature && executedMethods.ContainsKey(Regex.Replace(link.TargetArtifactId, "(\\(.*\\))", "")))
{
targetMatrix.AddLink(link.SourceArtifactId, link.TargetArtifactId, link.Score);
}
}
}
public override void Compute()
{
TLSimilarityMatrix matrix1 = (TLSimilarityMatrix)Workspace.Load("Matrix1");
TLSimilarityMatrix matrix2 = (TLSimilarityMatrix)Workspace.Load("Matrix2");
foreach (TLSingleLink link in matrix2.AllLinks)
{
matrix1.AddLink(link.SourceArtifactId, link.TargetArtifactId, link.Score);
}
Workspace.Store("Merged", matrix1);
}
/// <summary>
/// Normalizes a similarity matrix
/// </summary>
/// <param name="matrix">Similarity matrix</param>
/// <returns>Normalized similarity matrix</returns>
public static TLSimilarityMatrix Normalize(TLSimilarityMatrix matrix)
{
TLSimilarityMatrix norm = new TLSimilarityMatrix();
double mean = TLSimilarityMatrixUtil.AverageSimilarity(matrix);
double stdDev = TLSimilarityMatrixUtil.SimilarityStandardDeviation(matrix);
foreach (TLSingleLink link in matrix.AllLinks)
{
norm.AddLink(link.SourceArtifactId, link.TargetArtifactId, (link.Score - mean) / stdDev);
}
return(norm);
}
public static TLSimilarityMatrix Compute(TLSimilarityMatrix matrix, TLSimilarityMatrix relationships)
{
// create pseudo matrix for easy lookup
// Dictionary<sourceID, Dictionary<targetID, score>>
Dictionary <string, Dictionary <string, double> > storage = new Dictionary <string, Dictionary <string, double> >();
foreach (TLSingleLink link in matrix.AllLinks)
{
if (!storage.ContainsKey(link.SourceArtifactId))
{
storage.Add(link.SourceArtifactId, new Dictionary <string, double>());
}
storage[link.SourceArtifactId].Add(link.TargetArtifactId, link.Score);
}
#if UseDelta
// compute delta
double delta = SharedUtils.ComputeDelta(matrix);
#endif
// iterate over every (source, target) pair
TLLinksList links = matrix.AllLinks;
links.Sort();
foreach (TLSingleLink link in links)
{
// get the set of target artifacts related to link.TargetArtifactId
// then update the value of (link.SourceArtifactId, relatedArtifact) by delta
foreach (string relatedArtifact in relationships.GetSetOfTargetArtifactIdsAboveThresholdForSourceArtifact(link.TargetArtifactId))
{
#if UseDelta
storage[link.SourceArtifactId][relatedArtifact] += storage[link.SourceArtifactId][relatedArtifact] * delta;
#else
storage[link.SourceArtifactId][relatedArtifact] += storage[link.SourceArtifactId][relatedArtifact] * 0.1;
#endif
}
}
// build new matrix
TLLinksList newLinks = new TLLinksList();
foreach (string source in storage.Keys)
{
foreach (string target in storage[source].Keys)
{
newLinks.Add(new TLSingleLink(source, target, storage[source][target]));
}
}
newLinks.Sort();
TLSimilarityMatrix newMatrix = new TLSimilarityMatrix();
foreach (TLSingleLink link in newLinks)
{
newMatrix.AddLink(link.SourceArtifactId, link.TargetArtifactId, link.Score);
}
return(newMatrix);
}
private static void RemoveNonFeature(ref TLSimilarityMatrix sims, FeatureSet set, Dictionary <int, string> qmap)
{
TLSimilarityMatrix target = new TLSimilarityMatrix();
string feature = GetFeatureSetType(set);
foreach (TLSingleLink link in sims.AllLinks)
{
if (qmap[Convert.ToInt32(link.SourceArtifactId)] == feature)
{
target.AddLink(link.SourceArtifactId, link.TargetArtifactId, link.Score);
}
}
sims = target;
}
/// <summary>
/// Performs an affine transformation on two similarity matrices.
/// </summary>
/// <param name="large">Large expert</param>
/// <param name="small">Small expert</param>
/// <param name="lambda">Weight given to large expert</param>
/// <returns>Transformed similarities</returns>
public static TLSimilarityMatrix Transform(TLSimilarityMatrix large, TLSimilarityMatrix small, double lambda)
{
TLSimilarityMatrix largeNormal = Normalize(large);
TLSimilarityMatrix smallNormal = Normalize(small);
TLSimilarityMatrix combined = new TLSimilarityMatrix();
foreach (TLSingleLink largeLink in largeNormal.AllLinks)
{
double smallLink = smallNormal.GetScoreForLink(largeLink.SourceArtifactId, largeLink.TargetArtifactId);
combined.AddLink(largeLink.SourceArtifactId, largeLink.TargetArtifactId, Combine(largeLink.Score, smallLink, lambda));
}
return(combined);
}
/// <summary>
/// Computes the traceability between source and target artifacts using dictionary and American Corpus Term weigths.
/// </summary>
/// <param name="sourceArtifacts">The source artifacts.</param>
/// <param name="targetArtifacts">The target artifacts.</param>
/// <param name="dict">The dict.</param>
/// <param name="ancTermsWeights">The anc terms weights.</param>
/// <param name="config">The config.</param>
/// <returns>Similarity matrix with links between source and target artifacts</returns>
private static TLSimilarityMatrix ComputeTraceability(TLArtifactsCollection sourceArtifacts,
TLArtifactsCollection targetArtifacts,
TLDictionaryIndex dict,
TLKeyValuePairsList ancTermsWeights,
TracerConfig config)
{
if (sourceArtifacts == null)
{
throw new ComponentException("Received source artifacts are null!");
}
if (targetArtifacts == null)
{
throw new ComponentException("Received target artifacts are null!");
}
if (dict == null)
{
throw new ComponentException("Received dictionary index is null!");
}
if (ancTermsWeights == null)
{
throw new ComponentException("Received 'ancTermsWeights' is null!");
}
TLSimilarityMatrix similarityMatrix = new TLSimilarityMatrix();
ANCSearcher searcher = new ANCSearcher(SimilarityMetricFactory.GetSimiliarityMetric(config.SimilarityMetric));
// Iterates over all the source artifacts to determine the probabilities to target artifacts - by executing a search
foreach (TLArtifact sourceArtifact in sourceArtifacts.Values)
{
String query = sourceArtifact.Text;
// Executes the query
List <Result> results;
results = searcher.search(query, dict, PrepareANCData(ancTermsWeights));
// Iterates over the results and stores them in the matrix
foreach (Result r in results)
{
string targetArtifactId = r.ArtifactId;
similarityMatrix.AddLink(sourceArtifact.Id, targetArtifactId, r.Ranking);
}
}
return(similarityMatrix);
}
internal static TLSimilarityMatrix GenerateOracle(string rankFile, string mapFile)
{
Console.WriteLine("Generating oracle...");
IEnumerable <double> ranks = Generics.ImportDoubles(rankFile, false);
IEnumerable <string> map = Generics.ImportStrings(mapFile);
Assert.AreEqual(map.Count(), ranks.Count());
TLSimilarityMatrix oracle = new TLSimilarityMatrix();
for (int i = 0; i < map.Count(); i++)
{
oracle.AddLink("trace", map.ElementAt(i), ranks.ElementAt(i));
}
return(oracle);
}
/// <summary>
/// Import script results
/// </summary>
/// <param name="result">RScriptResults object</param>
/// <returns>Script results</returns>
public override object ImportResults(RScriptResult result)
{
IEnumerable <double> ranks = Generics.ImportDoubles(_outputFile, false);
IEnumerable <string> map = Generics.ImportStrings(_mappingFile);
if (ranks.Count() != map.Count())
{
throw new RDataException("Results file in incorrect format: incorrect number of entries");
}
TLSimilarityMatrix rankList = new TLSimilarityMatrix();
for (int i = 0; i < map.Count(); i++)
{
rankList.AddLink(_traceID, map.ElementAt(i), ranks.ElementAt(i));
}
return(rankList);
}
/// <summary>
/// FORMAT
/// ======
/// Line 1 - "","UC","CC","Similarity","Oracle","Precision","Recall","feedback"
/// Line 2+ - values
/// </summary>
/// <param name="path"></param>
/// <returns></returns>
public static TLSimilarityMatrix Import(string path)
{
TLSimilarityMatrix matrix = new TLSimilarityMatrix();
matrix.Threshold = Double.MinValue;
TextReader file = new StreamReader(path);
file.ReadLine();
string line;
while ((line = file.ReadLine()) != null)
{
string[] item = line.Split(new char[] { ',', '"' }, StringSplitOptions.RemoveEmptyEntries);
matrix.AddLink(item[1], item[2], Convert.ToDouble(item[3]));
}
return(matrix);
}
public static TLSimilarityMatrix Compute(TLSimilarityMatrix sims, TLSimilarityMatrix relationships, TLSimilarityMatrix feedback)
{
// new matrix
TLSimilarityMatrix newMatrix = new TLSimilarityMatrix();
#if UseDelta
// compute delta
double delta = SharedUtils.ComputeDelta(sims);
#endif
// make sure the entire list is sorted
TLLinksList links = sims.AllLinks;
links.Sort();
// end condition
int correct = 0;
// iterate over each source-target pair
while (links.Count > 0 && correct < feedback.Count)
{
// get link at top of list
TLSingleLink link = links[0];
// check feedback
if (feedback.IsLinkAboveThreshold(link.SourceArtifactId, link.TargetArtifactId))
{
correct++;
// update related links
for (int i = 1; i < links.Count; i++)
{
if (link.SourceArtifactId.Equals(links[i].SourceArtifactId) &&
relationships.IsLinkAboveThreshold(link.TargetArtifactId, links[i].TargetArtifactId))
{
#if UseDelta
links[i].Score += links[i].Score * delta;
#else
links[i].Score += links[i].Score * 0.1;
#endif
}
}
}
// remove link
newMatrix.AddLink(link.SourceArtifactId, link.TargetArtifactId, link.Score);
links.RemoveAt(0);
// reorder links
links.Sort();
}
return(newMatrix);
}
public static TLSimilarityMatrix Import(string directory)
{
TLSimilarityMatrix matrix = new TLSimilarityMatrix();
foreach (String file in Directory.GetFiles(directory))
{
String feature = Similarities.ExtractFeatureID(file);
StreamReader links = new StreamReader(file);
String link;
while ((link = links.ReadLine()) != null)
{
matrix.AddLink(feature, link, 1);
}
links.Close();
}
return(matrix);
}
/// <summary>
/// Extracts links containing the given artifact IDs from a similarity matrix.
/// </summary>
/// <param name="original">Original matrix</param>
/// <param name="artifactIDs">List of artifact IDs</param>
/// <param name="ignoreParameters">Flag to ignore parameter overloads and compare only method names.</param>
/// <returns>Extracted links</returns>
public static TLLinksList ExtractLinks(TLLinksList original, IEnumerable <string> artifactIDs, bool ignoreParameters)
{
TLSimilarityMatrix matrix = new TLSimilarityMatrix();
foreach (TLSingleLink link in original)
{
string sourceID = (ignoreParameters && link.SourceArtifactId.IndexOf('(') > 0)
? link.SourceArtifactId.Substring(0, link.SourceArtifactId.IndexOf('('))
: link.SourceArtifactId;
string targetID = (ignoreParameters && link.TargetArtifactId.IndexOf('(') > 0)
? link.TargetArtifactId.Substring(0, link.TargetArtifactId.IndexOf('('))
: link.TargetArtifactId;
if (artifactIDs.Contains(sourceID) || artifactIDs.Contains(targetID))
{
matrix.AddLink(link.SourceArtifactId, link.TargetArtifactId, link.Score);
}
}
return(matrix.AllLinks);
}
public static void Split(ref TLSimilarityMatrix original, Dictionary <int, string> qmap, ref TLSimilarityMatrix bugs, ref TLSimilarityMatrix features, ref TLSimilarityMatrix patch)
{
foreach (TLSingleLink link in original.AllLinks)
{
string feature = qmap[Convert.ToInt32(link.SourceArtifactId)];
if (feature == Trace.GetFeatureSetType(FeatureSet.Bugs))
{
bugs.AddLink(link.SourceArtifactId, link.TargetArtifactId, link.Score);
}
else if (feature == Trace.GetFeatureSetType(FeatureSet.Features))
{
features.AddLink(link.SourceArtifactId, link.TargetArtifactId, link.Score);
}
else if (feature == Trace.GetFeatureSetType(FeatureSet.Patch))
{
patch.AddLink(link.SourceArtifactId, link.TargetArtifactId, link.Score);
}
}
}
public static TLSimilarityMatrix Import(String directory, List <String> map)
{
TLSimilarityMatrix sims = new TLSimilarityMatrix();
foreach (String file in Directory.GetFiles(directory))
{
String feature = ExtractFeatureID(file);
StreamReader idFile = new StreamReader(file);
String line;
while ((line = idFile.ReadLine()) != null)
{
String[] vars = line.Split(' ');
sims.AddLink(feature, map[Convert.ToInt32(vars[0]) - 1], Convert.ToDouble(vars[2]));
}
idFile.Close();
}
return(sims);
}
/// <summary>
/// Imports an oracle from a directory of files.
/// Each file is a source artifact containing targets on each line.
/// </summary>
/// <param name="directory"></param>
/// <returns></returns>
public static TLSimilarityMatrix ImportDirectory(string directory)
{
TLSimilarityMatrix oracle = new TLSimilarityMatrix();
foreach (string file in Directory.GetFiles(directory))
{
string id = Path.GetFileName(file);
TextReader fReader = new StreamReader(file);
string line;
while ((line = fReader.ReadLine()) != null)
{
if (String.IsNullOrWhiteSpace(line))
{
continue;
}
oracle.AddLink(id, line, 1);
}
}
return(oracle);
}
/// <summary>
/// Imports an answer set from file in the form (each line):
/// SOURCE TARGET1 TARGET2 ...
/// </summary>
/// <param name="filename">File location</param>
/// <returns>Similarity matrix (link score 1)</returns>
public static TLSimilarityMatrix Import(String filename)
{
StreamReader file = new StreamReader(filename);
TLSimilarityMatrix answer = new TLSimilarityMatrix();
String line;
while ((line = file.ReadLine()) != null)
{
String[] artifacts = line.Split();
String source = artifacts[0];
for (int i = 1; i < artifacts.Length; i++)
{
String target = artifacts[i].Trim();
if (target != "")
{
answer.AddLink(source, target, 1);
}
}
}
return(answer);
}
/// <summary>
/// Computes Jensen-Shannon divergence on two TermDocumentMatrices
/// </summary>
/// <param name="source">Source artifacts collection</param>
/// <param name="target">Target artifacts collection</param>
/// <returns>Similarity matrix</returns>
public static TLSimilarityMatrix Compute(TermDocumentMatrix source, TermDocumentMatrix target)
{
List <TermDocumentMatrix> matrices = TermDocumentMatrix.Equalize(source, target);
TLSimilarityMatrix sims = new TLSimilarityMatrix();
for (int i = 0; i < matrices[0].NumDocs; i++)
{
TLLinksList list = new TLLinksList();
for (int j = 0; j < matrices[1].NumDocs; j++)
{
list.Add(new TLSingleLink(matrices[0].GetDocumentName(i), matrices[1].GetDocumentName(j),
DocumentSimilarity(matrices[0].GetDocument(i), matrices[1].GetDocument(j))));
}
list.Sort();
foreach (TLSingleLink link in list)
{
sims.AddLink(link.SourceArtifactId, link.TargetArtifactId, link.Score);
}
}
return(sims);
}
public static TLSimilarityMatrix Import(String directory)
{
TLSimilarityMatrix matrix = new TLSimilarityMatrix();
/* Each file is a link
* filename.map - feature
* Each line in file is a methodID
*/
foreach (String file in Directory.GetFiles(directory))
{
String feature = ExtractFeatureID(file);
StreamReader links = new StreamReader(file);
String link;
while ((link = links.ReadLine()) != null)
{
matrix.AddLink(feature, link, 1);
}
}
return(matrix);
}
public static TLSimilarityMatrix Compute(NormalizedVectorCollection docs, NormalizedVector lengths, DocumentVectorCollection queries)
{
TLSimilarityMatrix sims = new TLSimilarityMatrix();
foreach (KeyValuePair <string, DocumentVector> QueryKVP in queries)
{
/*
* Since tf in queries are all 1,
* we can assume this term is the sqrt of the size of the dictionary
*/
double qVal = Math.Sqrt(QueryKVP.Value.Count);
foreach (KeyValuePair <string, NormalizedVector> DocKVP in docs)
{
double dVal = lengths[DocKVP.Key];
double qdVec = ComputeProduct(QueryKVP.Value, DocKVP.Value);
sims.AddLink(QueryKVP.Key, DocKVP.Key, qdVec / (qVal * dVal));
}
}
return(sims);
}
/// <summary>
/// Computes cosine similarities between a set of boolean document vectors and a tfidf weighted corpus
/// </summary>
/// <param name="ids">Boolean document vectors</param>
/// <param name="tfidf">tf-idf weighted document vectors</param>
/// <returns>Similarity matrix</returns>
private static TLSimilarityMatrix ComputeSimilarities(TermDocumentMatrix ids, TermDocumentMatrix tfidf)
{
TLSimilarityMatrix sims = new TLSimilarityMatrix();
List <TermDocumentMatrix> matrices = TermDocumentMatrix.Equalize(ids, tfidf);
for (int i = 0; i < ids.NumDocs; i++)
{
TLLinksList links = new TLLinksList();
for (int j = 0; j < tfidf.NumDocs; j++)
{
double product = 0.0;
double asquared = 0.0;
double bsquared = 0.0;
for (int k = 0; k < matrices[0].NumTerms; k++)
{
double a = matrices[0][i, k];
double b = matrices[1][j, k];
product += (a * b);
asquared += Math.Pow(a, 2);
bsquared += Math.Pow(b, 2);
}
double cross = Math.Sqrt(asquared) * Math.Sqrt(bsquared);
if (cross == 0.0)
{
links.Add(new TLSingleLink(ids.GetDocumentName(i), tfidf.GetDocumentName(j), 0.0));
}
else
{
links.Add(new TLSingleLink(ids.GetDocumentName(i), tfidf.GetDocumentName(j), product / cross));
}
}
links.Sort();
foreach (TLSingleLink link in links)
{
sims.AddLink(link.SourceArtifactId, link.TargetArtifactId, link.Score);
}
}
return(sims);
}
