May 20, 2007 to May 26, 2007
Per Runeson , Lund University, Sweden
Magnus Alexandersson , Lund University, Sweden
Oskar Nyholm , Lund University, Sweden
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICSE.2007.32
Defect reports are generated from various testing and development activities in software engineering. Sometimes two reports are submitted that describe the same problem, leading to duplicate reports. These reports are mostly written in structured natural language, and as such, it is hard to compare two reports for similarity with formal methods. In order to identify duplicates, we investigate using Natural Language Processing (NLP) techniques to support the identification. A prototype tool is developed and evaluated in a case study analyzing defect reports at Sony Ericsson Mobile Communications. The evaluation shows that about 2/3 of the duplicates can possibly be found using the NLP techniques. Different variants of the techniques provide only minor result differences, indicating a robust technology. User testing shows that the overall attitude towards the technique is positive and that it has a growth potential.
Per Runeson, Magnus Alexandersson, Oskar Nyholm, "Detection of Duplicate Defect Reports Using Natural Language Processing", ICSE, 2007, Software Engineering, International Conference on, Software Engineering, International Conference on 2007, pp. 499-510, doi:10.1109/ICSE.2007.32