?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=https%3A%2F%2Feprints.uet.vnu.edu.vn%2Feprints%2Fid%2Feprint%2F3724%2F&rft.title=Finding+Relevant+Files+for+Bug+Reports%0D%0ABased+on+Mean+Reciprocal+Rank+Maximization+Approach&rft.creator=Le%2C+Duc-Trong&rft.subject=Information+Technology+(IT)&rft.description=Constructing+and+maintaining+open+source+projects+is+not+an+easy+work.+Developers+usually+need+to+tackle+a+lot+of+bugs+reported+by+users.+The+first+step+of+the+fixing+progress+is+to+find+all+relevant+files+respect+to+given+reports.+This+step+takes+time+and+human+resources.+Motivating+from+this+context%2C+various+learning-to-rank+models+were+proposed+in+order+to+automatically+rank+files+and+generate+suggestions+for+developers.+The+actual+related+files+are+expected+to+be+appeared+in+high+positions+of+the+ranking.+In+the+scope+of+this+paper%2C+a+mean+reciprocal+rank+optimization+approach+is+investigated+for+the+learning-to-rank+relevant+files+for+bug+re-+ports+task.+Given+a+bug+report%2C+the+ranking+of+a+source+file+is+approximated+by+a+function+aggregating+features+which+represent+their+relationship.+The+weights+of+these+features+are+learned+previously+to+maximize+the+mean+reciprocal+rank+of+known+relevant+files+on+training+bug+reports.+In+the+ex-+perimental+section%2C+the+introduced+model+is+evaluated+on+three+Java+open+source+projects+namely+Tomcat%2C+AspectJ+and+SWT.+The+three+different+versions+of+the+model+are+also+explored+and+compared+to+a+recent+state-of-the-art+method+in+recommending+related+files+for+bug+reports.&rft.publisher=Springer&rft.date=2019-10-30&rft.type=Technical+Report&rft.type=NonPeerReviewed&rft.format=application%2Fpdf&rft.language=en&rft.identifier=https%3A%2F%2Feprints.uet.vnu.edu.vn%2Feprints%2Fid%2Feprint%2F3724%2F2%2FBERP.pdf&rft.identifier=++Le%2C+Duc-Trong++(2019)+Finding+Relevant+Files+for+Bug+Reports+Based+on+Mean+Reciprocal+Rank+Maximization+Approach.++Technical+Report.+Springer.++++(Submitted)++