Paper Info
Title
Multi-Dimensional Measures for Test Case Quality
Abstract
Choosing the right test cases is an important task in software development due to high costs of software testing as well as the significance of software failures. Therefore, evaluating the quality of test techniques and test suites may help improving test results. Benchmarking has been successfully applied to various domains such as database performance. However, the difficulty in benchmarking test case quality is to find suitable measures. In this paper, a multi- dimensional measuring of test case quality is proposed. It has been shown that not only the number of detected faults but also other aspects such as development artefacts like source code or usage profiles are important. Consequences of this multi-dimensional measure on creating a test bench- mark are described.
Year
DOI
Venue
2008
10.1109/ICSTW.2008.28
ICST Workshops
Keywords
Field
DocType
test result,right test case,software development,test case quality,software testing,multi-dimensional measures,software failure,test suite,benchmarking test case quality,test technique,test bench,correlation,reflection,system testing,computational modeling,economics,testing,lead,software engineering,database systems,fault detection,availability,risk analysis,software reliability,business,benchmark testing,writing,stress,software quality,sensitivity analysis,shape,databases,software systems,computer architecture,length measurement,computer bugs,source code,software measurement
Test suite,Test method,System under test,Test Management Approach,Computer science,Test case,Software quality,Reliability engineering,Test data generation,Software measurement
Conference
Citations 
PageRank 
References 
2
0.39
6
Authors
4
Name
Order
Citations
PageRank
Christian Pfaller1624.90
Stefan Wagner296.41
Jörg Gericke322.08
Matthias Wiemann422.08