Abstract: Optimizing automated interactions with web pages by identifying, for each of multiple web pages, path information including an incoming hyperlink path having at least one hyperlink, where the incoming hyperlink path leads to the web page, and/or an outgoing hyperlink path having at least one hyperlink, where the outgoing hyperlink path emanates from the web page, determining whether the path information of each of the web pages meets a similarity condition, excluding from an interaction set of the web pages any of the web pages whose path information meets the similarity condition, and causing an automated interaction to be performed with any of the web pages in the interaction set.

Abstract: Performing an automated interaction with a computer software application by identifying, among a plurality of regions of an interface of a computer software application, a region for which a region-level measure exists of user interaction that occurred within the region of the interface, determining if the region-level measure meets or exceeds a predefined minimum level of user interaction, and performing an automated interaction with an element at least partly found within the region if the region-level measure meets or exceeds the predefined minimum level of user interaction.

Abstract: Optimizing automated interactions with web pages by identifying, for each of multiple web pages, path information including an incoming hyperlink path having at least one hyperlink, where the incoming hyperlink path leads to the web page, and/or an outgoing hyperlink path having at least one hyperlink, where the outgoing hyperlink path emanates from the web page, determining whether the path information of each of the web pages meets a similarity condition, excluding from an interaction set of the web pages any of the web pages whose path information meets the similarity condition, and causing an automated interaction to be performed with any of the web pages in the interaction set.

Abstract: Optimizing automated interactions with web pages by identifying, for each of multiple web pages, path information including an incoming hyperlink path having at least one hyperlink, where the incoming hyperlink path leads to the web page, and/or an outgoing hyperlink path having at least one hyperlink, where the outgoing hyperlink path emanates from the web page, determining whether the path information of each of the web pages meets a similarity condition, excluding from an interaction set of the web pages any of the web pages whose path information meets the similarity condition, and causing an automated interaction to be performed with any of the web pages in the interaction set.

Abstract: Optimizing automated interactions with web pages by identifying, for each of multiple web pages, path information including an incoming hyperlink path having at least one hyperlink, where the incoming hyperlink path leads to the web page, and/or an outgoing hyperlink path having at least one hyperlink, where the outgoing hyperlink path emanates from the web page, determining whether the path information of each of the web pages meets a similarity condition, excluding from an interaction set of the web pages any of the web pages whose path information meets the similarity condition, and causing an automated interaction to be performed with any of the web pages in the interaction set.

Abstract: Performing an automated interaction with a computer software application by identifying, among a plurality of regions of an interface of a computer software application, a region for which a region-level measure exists of user interaction that occurred within the region of the interface, determining if the region-level measure meets or exceeds a predefined minimum level of user interaction, and performing an automated interaction with an element at least partly found within the region if the region-level measure meets or exceeds the predefined minimum level of user interaction.

Abstract: Collecting log file data from at least one log file. From the collected log file data, at least one HTTP request can be generated to exercise a web application to perform a security analysis of the web application. The HTTP request can be communicated to the web application. At least one HTTP response to the HTTP request can be received. The HTTP response can be analyzed to perform validation of the web application. Results of the validation can be output.

Abstract: Collecting log file data from at least one log file. From the collected log file data, at least one HTTP request can be generated to exercise a web application to perform a security analysis of the web application. The HTTP request can be communicated to the web application. At least one HTTP response to the HTTP request can be received. The HTTP response can be analyzed to perform validation of the web application. Results of the validation can be output.

Abstract: Optimizing automated interactions with web pages by identifying, for each of multiple web pages, path information including an incoming hyperlink path having at least one hyperlink, where the incoming hyperlink path leads to the web page, and/or an outgoing hyperlink path having at least one hyperlink, where the outgoing hyperlink path emanates from the web page, determining whether the path information of each of the web pages meets a similarity condition, excluding from an interaction set of the web pages any of the web pages whose path information meets the similarity condition, and causing an automated interaction to be performed with any of the web pages in the interaction set.

Abstract: Optimizing automated interactions with web pages by identifying, for each of multiple web pages, path information including an incoming hyperlink path having at least one hyperlink, where the incoming hyperlink path leads to the web page, and/or an outgoing hyperlink path having at least one hyperlink, where the outgoing hyperlink path emanates from the web page, determining whether the path information of each of the web pages meets a similarity condition, excluding from an interaction set of the web pages any of the web pages whose path information meets the similarity condition, and causing an automated interaction to be performed with any of the web pages in the interaction set.

Abstract: Collecting log file data from at least one log file. From the collected log file data, at least one HTTP request can be generated to exercise a web application to perform a security analysis of the web application. The HTTP request can be communicated to the web application. At least one HTTP response to the HTTP request can be received. The HTTP response can be analyzed to perform validation of the web application. Results of the validation can be output.

Abstract: Collecting log file data from at least one log file. From the collected log file data, at least one HTTP request can be generated to exercise a web application to perform a security analysis of the web application. The HTTP request can be communicated to the web application. At least one HTTP response to the HTTP request can be received. The HTTP response can be analyzed to perform validation of the web application. Results of the validation can be output.

Abstract: An interactive session can be established between a crawling bot and a Web site. The crawling bot can defines a session state representing a user state for interacting with one or more Web sites, a set of conditions, and a set of scenarios to be selectively activated based on whether the set of conditions are satisfied. The crawling bot can receive content from the Web site during the interactive session. The crawling bot can parse the content from the Web site and can matching the parsed content against a previously defined set of items to determine whether the content matching condition is satisfied. If the content matching condition is satisfied and if the state condition is satisfied, the crawling bot, activating of the scenarios defined by the crawling bot can be active, which is not activated if the content matching condition and the state condition are not satisfied.

Abstract: An interactive session can be established between a crawling bot and a Web site. The crawling bot can defines a session state representing a user state for interacting with one or more Web sites, a set of conditions, and a set of scenarios to be selectively activated based on whether the set of conditions are satisfied. The crawling bot can receive content from the Web site during the interactive session. The crawling bot can parse the content from the Web site and can matching the parsed content against a previously defined set of items to determine whether the content matching condition is satisfied. If the content matching condition is satisfied and if the state condition is satisfied, the crawling bot, activating of the scenarios defined by the crawling bot can be active, which is not activated if the content matching condition and the state condition are not satisfied.

Abstract: An interactive session can be established between a crawling bot and a Web site. The crawling bot can defines a session state representing a user state for interacting with one or more Web sites, a set of conditions, and a set of scenarios to be selectively activated based on whether the set of conditions are satisfied. The crawling bot can receive content from the Web site during the interactive session. The crawling bot can parse the content from the Web site and can matching the parsed content against a previously defined set of items to determine whether the content matching condition is satisfied. If the content matching condition is satisfied and if the state condition is satisfied, the crawling bot, activating of the scenarios defined by the crawling bot can be active, which is not activated if the content matching condition and the state condition are not satisfied.

Abstract: Performing an automated interaction with a computer software application by identifying, among a plurality of regions of an interface of a computer software application, a region for which a region-level measure exists of user interaction that occurred within the region of the interface, determining if the region-level measure meets or exceeds a predefined minimum level of user interaction, and performing an automated interaction with an element at least partly found within the region if the region-level measure meets or exceeds the predefined minimum level of user interaction.