The complexity of data-intensive business processes is typically reflected in the user interfaces of the information systems supporting them. To facilitate ease of use despite the visual and semantic complexity of dialog forms, users should be guided in ways such as highlighting and describing invalid input, showing/hiding or enabling/disabling particular UI widgets. Manual implementation of the rules governing these user interface responses typically requires considerable effort, as they involve business and presentation concerns, and are often dependent on each other. In addition, users expect the interface to respond immediately to any input, which can be especially challenging in web applications. In this paper, we formalize the aspects that must be considered in formulating input evaluation rules, and present a run-time framework that encapsulates the necessary logic, enabling domain experts to specify the business rules instead of requiring developers to implement them.

When considering the addition of a mobile presentation channel to an existing web-based application, a key question that has to be answered even before development begins is how the mobile channel's characteristics will impact the user experience and the cost of using the application. If either of these factors is outside acceptable limits, economical considerations may forbid adding the channels, even if it would be feasible from a purely technical perspective. Both of these factors depend considerably on two metrics: The time required to transmit data over the mobile network, and the volume transmitted. The PETTICOAT method presented in this paper uses the dialog flow model and web server log files of an existing application to identify typical interaction sequences and to compile volume statistics, which are then run through a tool that simulates the volume and time that would be incurred by executing the interaction sequences on a mobile channel. From the simulated volume and time data, we can then calculate the cost of accessing the application on a mobile channel, and derive suitable approaches for optimizing cost and response times.