Using Text Clustering to Predict Defect Resolution Time: A Conceptual Replication and an Evaluation of Prediction Accuracy
Defect management is a central task in software maintenance. When a defect is reported, appropriate resources must be allocated to analyze and resolve the defect. An important issue in resource allocation is the estimation of Defect Resolution Time (DRT). Prior research has considered different approaches for DRT prediction exploiting information retrieval techniques and similarity in textual defe