Abstract: Disclosed embodiments provide automated techniques for evaluation of a user interface of a computer application. A computer function associated with a graphical element such as an icon or button is analyzed. The resultant text that appears as a result of invoking the button is analyzed and keywords are identified to determine a function type for the function. A graphical element category is determined for the button/icon that is invoked to produce the function. The graphical element category can be determined by analyzing underlying markup code for the button. Keywords pertaining to the button may be extracted from the markup code. The keywords from the button are compared with the keywords of the resulting function and a score is generated based on the amount of common keywords. The score is used as a criterion for a recommendation about the appropriateness of the button for use with the application function.

Abstract: Disclosed embodiments provide automated techniques for evaluation of a user interface of a computer application. A computer function associated with a graphical element such as an icon or button is analyzed. The resultant text that appears as a result of invoking the button is analyzed and keywords are identified to determine a function type for the function. A graphical element category is determined for the button/icon that is invoked to produce the function. The graphical element category can be determined by analyzing underlying markup code for the button. Keywords pertaining to the button may be extracted from the markup code. The keywords from the button are compared with the keywords of the resulting function and a score is generated based on the amount of common keywords. The score is used as a criterion for a recommendation about the appropriateness of the button for use with the application function.

Abstract: Disclosed embodiments provide automated techniques for evaluation of a user interface of a computer application. A computer function associated with a graphical element such as an icon or button is analyzed. The resultant text that appears as a result of invoking the button is analyzed and keywords are identified to determine a function type for the function. A graphical element category is determined for the button/icon that is invoked to produce the function. The graphical element category can be determined by analyzing underlying markup code for the button. Keywords pertaining to the button may be extracted from the markup code. The keywords from the button are compared with the keywords of the resulting function and a score is generated based on the amount of common keywords. The score is used as a criterion for a recommendation about the appropriateness of the button for use with the application function.

Abstract: Disclosed embodiments provide automated techniques for evaluation of a user interface of a computer application. A computer function associated with a graphical element such as an icon or button is analyzed. The resultant text that appears as a result of invoking the button is analyzed and keywords are identified to determine a function type for the function. A graphical element category is determined for the button/icon that is invoked to produce the function. The graphical element category can be determined by analyzing underlying markup code for the button. Keywords pertaining to the button may be extracted from the markup code. The keywords from the button are compared with the keywords of the resulting function and a score is generated based on the amount of common keywords. The score is used as a criterion for a recommendation about the appropriateness of the button for use with the application function.

Abstract: A system, method and computer program product for managing electronic messages. Embodiments include receiving a conversation document associated with an electronic message. A plurality of sections within the conversation document are determined. Embodiments monitor user interactions with the plurality of sections of the conversation document and, for each of the plurality of sections of the conversation document, determine a measure of relative importance for the section based on user interactions observed by the monitoring. A graphical user interface depicting the electronic message is updated based on the determined measures of relative importance, and is output for display using one or more display devices.