DocumentCode
3576721
Title
A study of applying severity-weighted greedy algorithm to software test case prioritization during testing
Author
Yen-Ching Hsu ; Kuan-Li Peng ; Chin-Yu Huang
Author_Institution
Inst. of Inf. Syst. & Applic., Nat. Tsing Hua Univ., Hsinchu, Taiwan
fYear
2014
Firstpage
1086
Lastpage
1090
Abstract
Regression testing is a very useful technique for software testing. Traditionally, there are several techniques for test case prioritization; two of the most used techniques are Greedy and Additional Greedy Algorithm (GA and AGA). However, it can be found that they may not consider the severity while prioritizing test cases. In this paper, an Enhanced Additional Greedy Algorithm (EAGA) is proposed for test case prioritization. Experiments with eight subject programs are performed to investigate the effects of different techniques under different criteria and fault severity. Experimental results show that proposed EAGA perform well than other techniques.
Keywords
greedy algorithms; program testing; AGA; EAGA; additional greedy algorithm; applying severity weighted greedy algorithm; enhanced additional greedy algorithm; software test case prioritization; software testing; Fault detection; Greedy algorithms; Schedules; Software; Software engineering; Software testing; APFD; APFDc; Test case prioritization; code coverage; search algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on
Type
conf
DOI
10.1109/IEEM.2014.7058806
Filename
7058806
Link To Document