DocumentCode :
635175
Title :
Energy-directed test suite optimization
Author :
Ding Li ; Sahin, C. ; Clause, James ; Halfond, William G. J.
Author_Institution :
Comput. Sci. Dept., Univ. of Southern California, Los Angeles, CA, USA
fYear :
2013
fDate :
20-20 May 2013
Firstpage :
62
Lastpage :
69
Abstract :
Post-deployment in situ testing and validation techniques have become an important means of ensuring the reliability of mobile and embedded systems. However, these techniques do not take into consideration the amount of energy they consume, which is an issue of paramount concern for systems with limited energy budgets. In this paper we propose a new test suite minimization approach that allows developers to generate energy-efficient, minimized test suites. The approach is based on encoding minimization problems as integer linear programming problems. Our empirical evaluation shows that, compared to traditionally generated minimized test suites, the test suites generated by our approach are equally effective in terms of their test coverage, but can realize energy savings of up to 90 %.
Keywords :
embedded systems; integer programming; linear programming; mobile computing; power aware computing; program testing; embedded systems; encoding minimization problems; energy-directed test suite optimization; energy-efficient minimized test suites; in situ testing; integer linear programming problems; limited energy budgets; mobile systems; test suite minimization approach; validation techniques; Androids; Energy consumption; Energy measurement; Humanoid robots; Instruments; Minimization; Testing; Energy use; Post-deployment validation; Test suite optimization; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Green and Sustainable Software (GREENS), 2013 2nd International Workshop on
Conference_Location :
San Francisco, CA
Type :
conf
DOI :
10.1109/GREENS.2013.6606423
Filename :
6606423
Link To Document :
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