<div style="text-align:justify;"> A test method and system for AI industrial application capabilities of smart terminals. The method includes the following steps: According to the temperature change va...<div style="text-align:justify;"> A test method and system for AI industrial application capabilities of smart terminals. The method includes the following steps: According to the temperature change values of different AI industrial applications executed by standard smart terminal equipment under different equipment parameters, the equipment parameters and temperature changes of standard smart terminal equipment are constructed. Correlation model;obtain the device parameters of the smart terminal device to be tested, and obtain the predicted value of the temperature change of the smart terminal device to be tested based on the correlation model between the device parameters of the standard smart terminal device and the temperature change;Measure the actual value of the temperature change of the intelligent terminal device executing different AI industrial applications;obtain the test result of the intelligent terminal device to be tested according to the predicted value of the temperature change and the actual value of the temperature change. </div>展开更多
This study addresses the challenge of assessing gaps among the differences of test people in eight groups by matching them based on four scenarios. The proposed model called Test Employee Capability Maturity Model (TE...This study addresses the challenge of assessing gaps among the differences of test people in eight groups by matching them based on four scenarios. The proposed model called Test Employee Capability Maturity Model (TEC-MM) helps find the gaps and measure the capability and maturity levels of each sub-maturity models in four dimensions as technicality, management, business, and personality. We applied TEC-MM to a software company which has instituted test people improvement strategy and plans to be a front runner in software testing industry. The findings reveal that gaps existed and consequently affect software testing process quality.展开更多
This study presents a decision making process in three steps of knowledge management for test organization using process simulation and financial analysis. First, project cost assessment of test knowledge management p...This study presents a decision making process in three steps of knowledge management for test organization using process simulation and financial analysis. First, project cost assessment of test knowledge management process subjects to different project duration and number of staffs. Two knowledge management simulation models representing experienced personnel with knowledge sharing and inexperienced personnel with internal training respectively are employed to contrast test personnel capability. Second, performance evaluation of software testing process by different personnel capability is conducted to simulate system test using three project metrics, namely, duration, effort cost, and quality. Third, a comparative financial analysis is prepared to determine the best solution by return on investment, payback period, and benefit cost ratio. The results from three stages of finding are discussed to arrive at the final scenario. We provide a case study evaluating how software testing industry needs to build effective test organization with high quality personnel for sustainable development and improvement.展开更多
文摘<div style="text-align:justify;"> A test method and system for AI industrial application capabilities of smart terminals. The method includes the following steps: According to the temperature change values of different AI industrial applications executed by standard smart terminal equipment under different equipment parameters, the equipment parameters and temperature changes of standard smart terminal equipment are constructed. Correlation model;obtain the device parameters of the smart terminal device to be tested, and obtain the predicted value of the temperature change of the smart terminal device to be tested based on the correlation model between the device parameters of the standard smart terminal device and the temperature change;Measure the actual value of the temperature change of the intelligent terminal device executing different AI industrial applications;obtain the test result of the intelligent terminal device to be tested according to the predicted value of the temperature change and the actual value of the temperature change. </div>
文摘This study addresses the challenge of assessing gaps among the differences of test people in eight groups by matching them based on four scenarios. The proposed model called Test Employee Capability Maturity Model (TEC-MM) helps find the gaps and measure the capability and maturity levels of each sub-maturity models in four dimensions as technicality, management, business, and personality. We applied TEC-MM to a software company which has instituted test people improvement strategy and plans to be a front runner in software testing industry. The findings reveal that gaps existed and consequently affect software testing process quality.
文摘This study presents a decision making process in three steps of knowledge management for test organization using process simulation and financial analysis. First, project cost assessment of test knowledge management process subjects to different project duration and number of staffs. Two knowledge management simulation models representing experienced personnel with knowledge sharing and inexperienced personnel with internal training respectively are employed to contrast test personnel capability. Second, performance evaluation of software testing process by different personnel capability is conducted to simulate system test using three project metrics, namely, duration, effort cost, and quality. Third, a comparative financial analysis is prepared to determine the best solution by return on investment, payback period, and benefit cost ratio. The results from three stages of finding are discussed to arrive at the final scenario. We provide a case study evaluating how software testing industry needs to build effective test organization with high quality personnel for sustainable development and improvement.
