NDLI: AST Based JAVA Software Evolution Analysis

Content Provider	IEEE Xplore Digital Library
Author	Lu Jiang Zhiyi Zhang Zhihong Zhao
Copyright Year	2013
Description	Author affiliation: Software Inst., Nanjing Univ., Nanjing, China (Lu Jiang; Zhiyi Zhang; Zhihong Zhao)
Abstract	In the process of software evolution, software change information can help software developers and system analysts to get a better understanding of differential part of software. In this paper, we construct different versions of source code into abstract syntax trees, and use an improved tree matching algorithm which combines multiple string matching algorithms, bilateral best match strategy and predicate information of program to improve the match result. Also a detailed change type list is defined and all the tree editing operations will be mapped to refined program change classification. We evaluated our tree match algorithm on a medium-size project of different versions. Ten typical classes were picked as a benchmark and 456 changes were specified manually. Our method show a good performance on this benchmark with the average change number bias controlled in 1.75, and the average change number error percentage is controlled fewer than 5.38%.
Starting Page	180
Ending Page	183
File Size	458960
Page Count	4
File Format	PDF
ISBN	9781479932184
e-ISBN	9781479932191
DOI	10.1109/WISA.2013.42
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Software Evolution Program Differential Analysis Software algorithms Abstract Syntax Tree Abstracts Syntactics Software Classification algorithms Data mining
Content Type	Text
Resource Type	Article

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