Functional test generation from UI test scenarios using reinforcement learning for android applications

Author(s):  
Yavuz Koroglu ◽  
Alper Sen
2015 ◽  
Vol 31 (4) ◽  
pp. 361-380 ◽  
Author(s):  
Alfonso Martinez Cruz ◽  
Ricardo Barrón Fernández ◽  
Herón Molina Lozano ◽  
Marco Antonio Ramírez Salinas ◽  
Luis Alfonso Villa Vargas

2015 ◽  
Vol 66 (4) ◽  
pp. 185-193 ◽  
Author(s):  
Ján Hudec ◽  
Elena Gramatová

Abstract The paper presents a new functional test generation method for processors testing based on genetic algorithms and evolutionary strategies. The tests are generated over an instruction set architecture and a processor description. Such functional tests belong to the software-oriented testing. Quality of the tests is evaluated by code coverage of the processor description using simulation. The presented test generation method uses VHDL models of processors and the professional simulator ModelSim. The rules, parameters and fitness functions were defined for various genetic algorithms used in automatic test generation. Functionality and effectiveness were evaluated using the RISC type processor DP32.


Author(s):  
Furat Abdul Rassul ◽  
Mohammed A. Abdulsada ◽  
Fathi R. Abusief

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