Abstract
End-users compose ad-hoc business processes by integrating web applications to conduct online tasks. Generally, end-users have to enter information into web forms of web applications, and often repetitively type the same information into applications. It could be a tedious job for end-users to fill in web forms with identical information. To save end-users from repetitive typing and increase composition productivity, it is critical to propagate and pre-fill user inputs to web applications. In this paper, we propose an intelligent auto-filling framework collecting and propagating user inputs across web applications, identifying user usage patterns and contexts. The empirical results show that our framework, on average, achieves a precision of 74.5% and a recall of 58% on pre-filling web forms, and a precision of 82.25% and a recall of 68.4% on suggesting values to end-users if the end-users edit the initial pre-filled values.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 16-30 |
| Number of pages | 15 |
| Journal | International Journal of Business Process Integration and Management |
| Volume | 8 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2017 |
| Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Business and International Management
- Strategy and Management
- Management Science and Operations Research
Keywords
- Business process integration
- Clustering
- Context-aware
- Usage patterns
- Web form auto-filling