Paper Info
Title
Re-Using Generators of Complex Test Data
Abstract
The efficiency of random testing can be improved by sampling test inputs using a generating program that incorporates knowledge about the types of input most likely to detect faults in the software-under-test (SUT). But when the input of the SUT is a complex data type--such as a domain-specific string, array, record, tree, or graph--creating such a generator may be time- consuming and may require the tester to have substantial prior experience of the domain. In this paper we propose the re-use of generators created for one SUT on other SUTs that take the same complex data type as input. The re-use of a generator in this way would have little overhead, and we hypothesise that the re-used generator will typically be as least as efficient as the most straightforward form of random testing: sampling test inputs from the uniform distribution. We investigate this proposal for two data types using five generators. We assess test efficiency against seven real-world SUTs, and in terms of both structural coverage and the detection of seeded faults. The results support the re-use of generators for complex data types, and suggest that if a library of generators is to be maintained for this purpose, it is possible to extend library generators to accommodate the specific testing requirements of newly-encountered SUTs.
Year
DOI
Venue
2015
10.1109/ICST.2015.7102605
Software Testing, Verification and Validation
Keywords
Field
DocType
data handling,fault tolerant computing,program testing,sut,data type,fault detection,library generators,random testing,seeded fault detection,software-under-test,structural coverage,test data generator reuse,test efficiency,optimization,probability distribution,data models,testing,software engineering,generators
Data modeling,Random testing,Computer science,Complex data type,Real-time computing,Probability distribution,Data type,Test data,Sampling (statistics),Computer engineering,Test data generation
Conference
ISSN
Citations 
PageRank 
2159-4848
0
0.34
References 
Authors
9
2
Name
Order
Citations
PageRank
Simon M. Poulding113610.72
Robert Feldt2965.77