Delayed Failures in Software Using High Volume Automated Testing

Author

Gardiner, Jeremy

Author_Institution

Dept. of Inf. Syst., Cranfield Univ., Bedford

fYear

2006

fDate

29-31 Aug. 2006

Firstpage

193

Lastpage

196

Abstract

The research described studies delayed failures in software using high volume automated testing (HVAT) and investigates the effectiveness of different HVAT techniques; such techniques include genetic algorithms, model-based testing, penetration testing, robustness testing, and random (stochastic) testing. A delayed failure is a failure that occurs some time after the conditions that lead to the failure are applied. There appear to be no studies of delayed failures of software in the literature and no comparative studies of the effectiveness of different HVAT techniques; therefore research in this area can make an important contribution. Delayed failures in software are unlikely to be revealed by conventional testing techniques; a HVAT technique that systematically reveals delayed failures could lead to improved reliability of software and reduced costs. Experimental work is in progress using the MySQL database server as the software under test

Keywords

automatic programming; genetic algorithms; program testing; system recovery; HVAT techniques; genetic algorithms; high volume automated testing; model-based testing; penetration testing; random testing; robustness testing; software delayed failures; Automatic testing; Costs; Databases; Delay effects; Delay systems; Genetic algorithms; Robustness; Software testing; Stochastic processes; System testing; HVAT; automated testing; database testing; delayed failures; high volume; software testing; testing techniques.;

fLanguage

English

Publisher

ieee

Conference_Titel

Testing: Academic and Industrial Conference - Practice And Research Techniques, 2006. TAIC PART 2006. Proceedings

Conference_Location

Windsor

Print_ISBN

0-7695-2672-1

Type

conf

DOI

10.1109/TAIC-PART.2006.6

Filename

1691686