SEERS

Using Observed Behavior to Reformulate Queries
during Text Retrieval-based Bug Localization

Oscar Chaparro, Juan Manuel Florez, Andrian Marcus
The University of Texas at Dallas, Richardson, TX 75080, USA

This web page contains the replication package of our ICSME 2017 paper. Each attached ZIP file below includes a README file that provides more information about its contents.

Data set
[ZIP]

ZIP file that contains the complete data set of bug reports used in this research, including parsed and coded bug reports. It also contains the bug localization data, namely, initial and reduced queries, code corpora, buggy code documents, and source code.

Stop Words
[ZIP]

ZIP file that contains the list of stop words used to preprocess the source code documents and queries.

Empirical Results
[ZIP]

ZIP file that contains detailed results of our empirical study.