Please use this identifier to cite or link to this item:
|Title:||Concern localization using information retrieval: An empirical study on Linux kernel|
mean average precision
|Source:||Wang, S.,Lo, D.,Xing, Z.,Jiang, L. (2011). Concern localization using information retrieval: An empirical study on Linux kernel. Proceedings - Working Conference on Reverse Engineering, WCRE : 92-96. ScholarBank@NUS Repository. https://doi.org/10.1109/WCRE.2011.72|
|Abstract:||Many software maintenance activities need to find code units (functions, files, etc.) that implement a certain concern (features, bugs, etc.). To facilitate such activities, many approaches have been proposed to automatically link code units with concerns described in natural languages, which are termed as concern localization and often employ Information Retrieval (IR) techniques. There has not been a study that evaluates and compares the effectiveness of latest IR techniques on a large dataset. This study fills this gap by investigating ten IR techniques, some of which are new and have not been used for concern localization, on a Linux kernel dataset. The Linux kernel dataset contains more than 1,500 concerns that are linked to over 85,000 C functions. We have evaluated the effectiveness of the ten techniques on recovering the links between the concerns and the implementing functions and ranked the IR techniques based on their precisions on concern localization. © 2011 IEEE.|
|Source Title:||Proceedings - Working Conference on Reverse Engineering, WCRE|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 13, 2017
checked on Dec 9, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.