DocumentCode :
555364
Title :
Search-enhanced testing: NIER track
Author :
Atkinson, Colin ; Hummel, Oliver ; Janjic, Werner
Author_Institution :
Software Eng. Group, Univ. of Mannheim, Mannheim, Germany
fYear :
2011
fDate :
21-28 May 2011
Firstpage :
880
Lastpage :
883
Abstract :
The prime obstacle to automated defect testing has always been the generation of "correct" results against which to judge the behavior of the system under test - the "oracle problem". So called "back-to-back" testing techniques that exploit the availability of multiple versions of a system to solve the oracle problem have mainly been restricted to very special, safety critical domains such as military and space applications since it is so expensive to manually develop the additional versions. However, a new generation of software search engines that can find multiple copies of software components at virtually zero cost promise to change this situation. They make it economically feasible to use the knowledge locked in reusable software components to dramatically improve the efficiency of the software testing process. In this paper we outline the basic ingredients of such an approach.
Keywords :
program testing; search engines; back-to-back testing technique; oracle problem; search-enhanced testing; software component; software search engines; software testing process; Indexes; Manuals; Programming; Search engines; Software; Software engineering; Testing; automated testing; back-to-back testing; multi-version programming; search-driven development;
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 :
10.1145/1985793.1985932
Filename :
6032542
Link To Document :
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