Mobile apps are now ubiquitous. Before developing a new app, the development team usually endeavors painstaking efforts to review many existing apps with similar purposes. The review process is crucial in the sense that it reduces market risks and provides inspiration for app development. However, manual exploration of hundreds of existing apps by different roles (e.g., product manager, UI/UX designer, developer) in a development team can be ineffective. For example, it is difficult to completely explore all the functionalities of the app in a short period of time. Inspired by the conception of storyboard in movie production, we propose a system, StoryDroid, to automatically generate the storyboard for Android apps, and assist different roles to review apps efficiently. Specifically, StoryDroid extracts the activity transition graph and leverages static analysis techniques to render UI pages to visualize the storyboard with the rendered pages. The mapping relations between UI pages and the corresponding implementation code (e.g., layout code, activity code, and method hierarchy) are also provided to users. Our comprehensive experiments unveil that StoryDroid is effective and indeed useful to assist app development. The outputs of StoryDroid enable several potential applications, such as the recommendation of UI design and layout code.

Establishment of quality evaluation model of trustworthiness plays an important role in quality analysis for collaboration software. Therefore, this paper researches the quality evaluation model and proposes a method of establishing the quality level model based on practical evidence. This method is mainly carried out as follows: The trustworthiness evidence model is established through collecting the practical evidence in the systems development life cycle. Then the measurement method and the value range are analyzed and the trustworthiness level model is established to provide the evaluation criterion to the evaluation of software trustworthiness. The quality level model based on the practical evidence is able to ensure the practical operability of the evaluation of trustworthiness and to lower down the work complexity.