Paper Info
Title
Fault Detection Likelihood of Test Sequence Length
Abstract
Testing of graphical user interfaces is important due to its potential to reveal faults in operation and performance of the system under consideration. Most existing test approaches generate test cases as sequences of events of different length. The cost of the test process depends on the number and total length of those test sequences. One of the problems to be encountered is the determination of the test sequence length. Widely accepted hypothesis is that the longer the test sequences, the higher the chances to detect faults. However, there is no evidence that an increase of the test sequence length really affect the fault detection. This paper introduces a reliability theoretical approach to analyze the problem in the light of real-life case studies. Based on a reliability growth model the expected number of additional faults is predicted that will be detected when increasing the length of test sequences.
Year
DOI
Venue
2010
10.1109/ICST.2010.51
Software Testing, Verification and Validation
Keywords
Field
DocType
total length,test sequence length,reliability theoretical approach,fault detection likelihood,reliability growth model,expected number,different length,test process,existing test approach,test case,test sequence,reliability theory,computational modeling,predictive models,software reliability,graphic user interface,graphical user interfaces,test cases,system testing,data models,fault detection,mathematical model,software testing,testing
Data modeling,Automatic test pattern generation,Fault coverage,Fault detection and isolation,Computer science,Real-time computing,Graphical user interface,Test case,Software quality,Reliability engineering,Reliability theory
Conference
ISBN
Citations 
PageRank 
978-1-4244-6435-7
2
0.39
References 
Authors
10
4
Name
Order
Citations
PageRank
Fevzi Belli14210.02
Michael Linschulte2497.38
Christof J. Budnik39915.38
Harald A. Stieber431.14