Relevant Slicing of Feature-Oriented Programs

被引：0
|
作者：
Sahu, Madhusmita [1 ]
Mohapatra, Durga Prasad [1 ]
机构：
[1] Natl Inst Technol, Dept CSE, Rourkela 769008, Odisha, India
来源：
PROGRESS IN ADVANCED COMPUTING AND INTELLIGENT ENGINEERING, PROCEEDINGS OF ICACIE 2016, VOLUME 1 | 2018年 / 563卷
关键词：
Relevant slice; Potential dependency; Feature-oriented programming (FOP); Feature relevant slicing (FRS) algorithm;
D O I：
10.1007/978-981-10-6872-0_31
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We propose an approach for computing relevant slices for feature-oriented programs. Our approach is based on an intermediate representation of the program called dynamic feature dependence graph (DFDG). We have named our proposed approach feature relevant slicing (FRS) algorithm. Our approach first computes the dynamic slice for a test case corresponding to the desired program location. Then, it determines the potential dependency for the desired program location, and eventually, it computes relevant slice using FRS algorithm.
引用
收藏
页码：333 / 346
页数：14
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