DocumentCode :
555369
Title :
Iterative context-aware feature location: (NIER track)
Author :
Peng, Xin ; Xing, Zhenchang ; Tan, Xi ; Yu, Yijun ; Zhao, Wenyun
Author_Institution :
Sch. of Comput. Sci., Fudan Univ., Shanghai, China
fYear :
2011
fDate :
21-28 May 2011
Firstpage :
900
Lastpage :
903
Abstract :
Locating the program element(s) relevant to a particular feature is an important step in efficient maintenance of a software system. The existing feature location techniques analyze each feature independently and perform a one-time analysis after being provided an initial input. As a result, these techniques are sensitive to the quality of the input, and they tend to miss the nonlocal interactions among features. In this paper, we propose to address the proceeding two issues in feature location using an iterative context-aware approach. The underlying intuition is that the features are not independent of each other, and the structure of source code resembles the structure of features. The distinguishing characteristics of the proposed approach are: 1) it takes into account the structural similarity between a feature and a program element to determine their relevance; 2) it employs an iterative process to propagate the relevance of the established mappings between a feature and a program element to the neighboring features and program elements. Our initial evaluation suggests the proposed approach is more robust and can significantly increase the recall of feature location with a slight decrease in precision.
Keywords :
feature extraction; information retrieval; iterative methods; program diagnostics; software maintenance; ubiquitous computing; information retrieval; iterative context aware feature location; one-time analysis; program element location; software system maintenance; source code; structural similarity; feature location; information retrieval; structural similarity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering (ICSE), 2011 33rd International Conference on
Conference_Location :
Honolulu, HI
ISSN :
0270-5257
Print_ISBN :
978-1-4503-0445-0
Electronic_ISBN :
0270-5257
Type :
conf
DOI :
10.1145/1985793.1985939
Filename :
6032547
Link To Document :
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