The SURF-MobileAppsData project will investigate concepts, techniques, and tools for mining mobile apps data available in app stores to support software engineers in the maintenance and evolution activities for these apps. In particular, the goal of mining data of mobile apps is to build an analysis framework and a feedback-driven environment to help developers to build better mobile applications by supporting them to (i) shorten the development life cycle, and (ii) to accommodate actual user needs. Hence, the main purpose of the SURF-MobileAppsData project is to surf the large amount of data that characterizes any app in an app store with the aim of substantially advancing the current state-of-the-art in mining mobile apps in several novel directions: by providing a multi-level, multi-source feedback mechanism for developers and users; by devising means for multi-source interlinking of user requests and actual changes; and by better wiring up feature development and bug fixing.
Duration: September 2016 - August 2019
Funding: SNF (Total Costs: 349.926 CHF)
Publications, Tools and Datasets
Datasets, Replication Packages and Appendices:
- Replication Package for "Analyzing Reviews and Code of Mobile Apps for a better Release Planning Organization".