Energy-directed Test Suite Optimization Ding Li, ∗ Cagri Sahin,† James Clause,† and William G.J. Halfond ∗ ∗ University of Southern California † University.

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Presentation transcript:

Energy-directed Test Suite Optimization Ding Li, ∗ Cagri Sahin,† James Clause,† and William G.J. Halfond ∗ ∗ University of Southern California † University of Delaware

Message In situ testing is necessary  But will consume battery power Idea: optimize energy usage of test suite How much energy can we save? 1 Ref Tech Earthquake Sensor

Message We developed EDTSO Achieved significant energy savings Range of saving is 30% to 70% EDTSO saves 42% more energy on average than traditional approaches 2

Overview of the process 3 Test suite Minimization Criteria Test-related data Energy usage data EDTSO Problem Builder ILP solver Optimized test suite

Difficulties How to maintain code coverage?  Encode as an ILP problem ILP problem is NP-hard  Usually solvable in a reasonable amount of time How to measure the energy consumption?  Use the LEAP platform with Android x86 4

5 Thank You

Future Questions 6