Abstract: A method and system for automated continuous validation for regulatory compliance of CS with dynamic component. On identification of learning in the CS, a User Acceptance Testing (UAT) is performed using automated test cases of varying types in accordance with what-if scenarios and synthetic data generated using a unique approach. Thereafter, a base validation testing of the CS is performed with clean data (positive scenarios of outcome of the CS) and dirty data (negative scenarios) by conducting repeatability, stability (consistency) and reliability checks. The base validation testing is then followed by learning saturation testing on only if the dynamic component is validated, is rolled out in production environment else is rolled back to the earlier version.

Abstract: In an auto vibrancy mode, a vibrancy value for a lighting load may be automatically determined based on a selected color setting for the lighting load. The automatically determined vibrancy value may also be configured to emit light from the lighting load at or above a target CRI value for the selected color setting. The selected color setting may be a CCT value on the black-body curve or an x-y chromaticity value. If the selected color setting is CCT value on the black-body curve, the automatically determined vibrancy value may be a pre-defined vibrancy value that is configured to emit light from the lighting load at or above the target CRI value for the selected CCT value. If the selected color setting is an x-y chromaticity value, the automatically determined vibrancy value may be based on the distance between the selected x-y chromaticity value and the black-body curve.

Abstract: In an auto vibrancy mode, a vibrancy value for a lighting load may be automatically determined based on a selected color setting for the lighting load. The automatically determined vibrancy value may also be configured to emit light from the lighting load at or above a target CRI value for the selected color setting. The selected color setting may be a CCT value on the black-body curve or an x-y chromaticity value. If the selected color setting is CCT value on the black-body curve, the automatically determined vibrancy value may be a pre-defined vibrancy value that is configured to emit light from the lighting load at or above the target CRI value for the selected CCT value. If the selected color setting is an x-y chromaticity value, the automatically determined vibrancy value may be based on the distance between the selected x-y chromaticity value and the black-body curve.

Abstract: In an auto vibrancy mode, a vibrancy value for a lighting load may be automatically determined based on a selected color setting for the lighting load. The automatically determined vibrancy value may also be configured to emit light from the lighting load at or above a target CRI value for the selected color setting. The selected color setting may be a CCT value on the black-body curve or an x-y chromaticity value. If the selected color setting is CCT value on the black-body curve, the automatically determined vibrancy value may be a pre-defined vibrancy value that is configured to emit light from the lighting load at or above the target CRI value for the selected CCT value. If the selected color setting is an x-y chromaticity value, the automatically determined vibrancy value may be based on the distance between the selected x-y chromaticity value and the black-body curve.

Abstract: State of art techniques hardly provide solutions for validation testing of Computer Systems (CS) with dynamic components that undergo frequent changes or learnings. Embodiments of the present disclosure provide a method and system for automated continuous validation for regulatory compliance of CS with dynamic component. On identification of learning in the CS, a User Acceptance Testing (UAT) is performed using automated test cases of varying types in accordance with what-if scenarios and synthetic data generated using a unique approach. Thereafter, a base validation testing of the CS is performed with clean data (positive scenarios of outcome of the CS) and dirty data (negative scenarios) by conducting repeatability, stability (consistency) and reliability checks. The base validation testing is then followed by learning saturation testing on only if the dynamic component is validated, is rolled out in production environment else is rolled back to the earlier version.

Abstract: In an auto vibrancy mode, a vibrancy value for a lighting load may be automatically determined based on a selected color setting for the lighting load. The automatically determined vibrancy value may also be configured to emit light from the lighting load at or above a target CRI value for the selected color setting. The selected color setting may be a CCT value on the black-body curve or an x-y chromaticity value. If the selected color setting is CCT value on the black-body curve, the automatically determined vibrancy value may be a pre-defined vibrancy value that is configured to emit light from the lighting load at or above the target CRI value for the selected CCT value. If the selected color setting is an x-y chromaticity value, the automatically determined vibrancy value may be based on the distance between the selected x-y chromaticity value and the black-body curve.

Abstract: In an auto vibrancy mode, a vibrancy value for a lighting load may be automatically determined based on a selected color setting for the lighting load. The automatically determined vibrancy value may also be configured to emit light from the lighting load at or above a target CRI value for the selected color setting. The selected color setting may be a CCT value on the black-body curve or an x-y chromaticity value. If the selected color setting is CCT value on the black-body curve, the automatically determined vibrancy value may be a pre-defined vibrancy value that is configured to emit light from the lighting load at or above the target CRI value for the selected CCT value. If the selected color setting is an x-y chromaticity value, the automatically determined vibrancy value may be based on the distance between the selected x-y chromaticity value and the black-body curve.

Abstract: In an auto vibrancy mode, a vibrancy value for a lighting load may be automatically determined based on a selected color setting for the lighting load. The automatically determined vibrancy value may also be configured to emit light from the lighting load at or above a target CRI value for the selected color setting. The selected color setting may be a CCT value on the black-body curve or an x-y chromaticity value. If the selected color setting is CCT value on the black-body curve, the automatically determined vibrancy value may be a pre-defined vibrancy value that is configured to emit light from the lighting load at or above the target CRI value for the selected CCT value. If the selected color setting is an x-y chromaticity value, the automatically determined vibrancy value may be based on the distance between the selected x-y chromaticity value and the black-body curve.

Abstract: In an auto vibrancy mode, a vibrancy value for a lighting load may be automatically determined based on a selected color setting for the lighting load. The automatically determined vibrancy value may also be configured to emit light from the lighting load at or above a target CRI value for the selected color setting. The selected color setting may be a CCT value on the black-body curve or an x-y chromaticity value. If the selected color setting is CCT value on the black-body curve, the automatically determined vibrancy value may be a pre-defined vibrancy value that is configured to emit light from the lighting load at or above the target CRI value for the selected CCT value. If the selected color setting is an x-y chromaticity value, the automatically determined vibrancy value may be based on the distance between the selected x-y chromaticity value and the black-body curve.