DocumentCode :
237532
Title :
Search based software testing with genetic using fitness function
Author :
Lodha, Gautam M. ; Gaikwad, Rahul S.
Author_Institution :
Dept. of Comput. Sci. & Eng., G.F. Coll. of Eng., Jalgaon, India
fYear :
2014
fDate :
28-29 Nov. 2014
Firstpage :
159
Lastpage :
163
Abstract :
Software engineering is deal with development activity in which testing is an important part. in testing if it is possible to generate an test case for code then it is easy task to find error in program so white box testing is possible using search base algorithm. in software testing white box testing is test an code which is used to develop an software. In this article purposed system is use genetic algorithm. Software testing is branch of software engineering in which testing performing vital role in any kind of software system. basically testing is noting but to find out bug as early as possible. in other words testing is intention to find out the error from software program. Software testing is an essential but expensive activity in software development life cycle and hence much research effort has been put into automation of software testing. In software testing it is interested to see how well a series of test input test a piece of code with intention to find out bug.
Keywords :
genetic algorithms; program testing; software engineering; development activity; fitness function; genetic algorithm; search base algorithm; search based software testing; software development life cycle; software engineering; software program; software testing white box testing; testing performing; Genetic algorithms; Sociology; Software; Software algorithms; Software testing; Statistics; Genetic algorithm fitness function mutation; Hill climbing; Ranodm serach; cross over;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH), 2014 Innovative Applications of
Conference_Location :
Ghaziabad
Type :
conf
DOI :
10.1109/CIPECH.2014.7019065
Filename :
7019065
Link To Document :
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