Title :
Patterns for cleaning up bug data
Author :
Souza, Richard ; Chavez, Christina ; Bittencourt, Roberto
Author_Institution :
Dept. of Comput. Sci., Fed. Univ. of Bahia, Salvador, Brazil
Abstract :
Bug reports provide insight about the quality of an evolving software and about its development process. Such data, however, is often incomplete and inaccurate, and thus should be cleaned before analysis. In this paper, we present patterns that help both novice and experienced data scientists to discard invalid bug data that could lead to wrong conclusions.
Keywords :
program debugging; software quality; bug data cleaning; patterns; software development process; software quality; Cleaning; Computer bugs; Data mining; Databases; Educational institutions; Software; Testing; bugs; data analysis; mining software repositories; patterns;
Conference_Titel :
Data Analysis Patterns in Software Engineering (DAPSE), 2013 1st International Workshop on
Conference_Location :
San Francisco, CA
DOI :
10.1109/DAPSE.2013.6603806
