Evaluating Reconfiguration Impact in Self-Adaptive Systems -- An Approach Based on Combinatorial Interaction Testing

2015 ◽  
Author(s):  
Sagar Sen ◽  
Stefano Di Alesio ◽  
Dusica Marijan ◽  
Arnab Sarkar
Keyword(s):  
Adaptive Systems ◽  
Interaction Testing ◽  
Combinatorial Interaction Testing ◽  
Self Adaptive

scholarly journals A fast Reconfigurable 2D HW core architecture on FPGAs for evolvable Self-Adaptive Systems

2011 ◽  
Author(s):  
Andres Otero ◽  
Ruben Salvador ◽  
Javier Mora ◽  
Eduardo de la Torre ◽  
Teresa Riesgo ◽  
...  
Keyword(s):  
Adaptive Systems ◽  
Self Adaptive

scholarly journals PRIORITIZATION OF COMBINATORIAL TEST CASES BY INCREMENTAL INTERACTION COVERAGE

2013 ◽  
Vol 23 (10) ◽  
pp. 1427-1457 ◽  
Author(s):  
RUBING HUANG ◽  
XIAODONG XIE ◽  
DAVE TOWEY ◽  
TSONG YUEH CHEN ◽  
YANSHENG LU ◽  
...  
Keyword(s):  
Test Case ◽  
Test Cases ◽  
New Strategy ◽  
Testing Cost ◽  
Test Prioritization ◽  
Interaction Testing ◽  
Parameter Interactions ◽  
Combinatorial Interaction Testing ◽  
Alternative Assumption ◽  
Better Than

Combinatorial interaction testing is a well-recognized testing method, and has been widely applied in practice, often with the assumption that all test cases in a combinatorial test suite have the same fault detection capability. However, when testing resources are limited, an alternative assumption may be that some test cases are more likely to reveal failure, thus making the order of executing the test cases critical. To improve testing cost-effectiveness, prioritization of combinatorial test cases is employed. The most popular approach is based on interaction coverage, which prioritizes combinatorial test cases by repeatedly choosing an unexecuted test case that covers the largest number of uncovered parameter value combinations of a given strength (level of interaction among parameters). However, this approach suffers from some drawbacks. Based on previous observations that the majority of faults in practical systems can usually be triggered with parameter interactions of small strengths, we propose a new strategy of prioritizing combinatorial test cases by incrementally adjusting the strength values. Experimental results show that our method performs better than the random prioritization technique and the technique of prioritizing combinatorial test suites according to test case generation order, and has better performance than the interaction-coverage-based test prioritization technique in most cases.

Sign in / Sign up

Export Citation Format

Share Document