A Replicated Study on Duplicate Detection: Using Apache Lucene to Search Among Android Defects
Författare
Summary, in English
Context: Duplicate detection is a fundamental part of issue management. Systems able to predict whether a new defect report will be closed as a duplicate, may decrease costs by limiting rework and collecting related pieces of information. Goal: Our work explores using Apache Lucene for large-scale duplicate detection based on textual content. Also, we evaluate the previous claim that results are improved if the title is weighted as more important than the description. Method: We conduct a conceptual replication of a well-cited study conducted at Sony Ericsson, using Lucene for searching in the public Android defect repository. In line with the original study, we explore how varying the weighting of the title and the description affects the accuracy. Results: We show that Lucene obtains the best results when the defect report title is weighted three times higher than the description, a bigger difference than has been previously acknowledged. Conclusions: Our work shows the potential of using Lucene as a scalable solution for duplicate detection.
Avdelning/ar
Publiceringsår
2014
Språk
Engelska
Publikation/Tidskrift/Serie
[Host publication title missing]
Fulltext
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Dokumenttyp
Konferensbidrag
Ämne
- Computer Science
Nyckelord
- software evolution
- issue management
- information retrieval
- replication
Conference name
8th International Symposium on Empirical Software Engineering and Measurement
Conference date
2014-09-18
Conference place
Turin, Italy
Status
Published
Projekt
- Embedded Applications Software Engineering
- Embedded Applications Software Engineering