Data-Driven Evolution of Activity Forms in Object- and Process-Aware Information Systems

Marius, Breitmayer and Lisa, Arnold and Reichert, Manfred (2022) Data-Driven Evolution of Activity Forms in Object- and Process-Aware Information Systems. In: CoopIS 2022, 4 -7 October 2022, Bozen - Bolzano.

There is a more recent version of this item available.
[thumbnail of CoopIS_2022_Breitmayer.pdf] PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (952kB)


Abstract. Object-aware processes enable the data-driven generation of forms based on the object behavior, which is pre-specified by the respective object lifecycle process. Each state of a lifecycle process comprises a number of object attributes that need to be set (e.g., via forms) before transitioning to the next state. When initially modeling a lifecycle process, the optimal ordering of the form fields is often unknown and only a guess of the lifecycle process modeler. As a consequence, certain form fields might be obsolete, missing, or ordered in a non-intuitive manner. Though this does not affect process executability, it decreases the usability of the automatically generated forms. Discovering respective problems, therefore, provides valuable insights into how object- and process-aware information systems can be evolved to improve their usability. This paper presents an approach for deriving improvements of object lifecycle processes by comparing the respective positions of the fields of the generated forms with the ones according to which the fields were actually filled by users during runtime. Our approach enables us to discover missing or obsolete form fields, and additionally considers the order of the fields within the generated forms. Finally, we can derive the modeling operations required to automatically restructure the internal logic of the lifecycle process states and, thus, to automatically evolve lifecycle processes and corresponding forms.

Item Type: Conference or Workshop Item (Paper)
Subjects: DBIS Research > Publications
Divisions: Faculty of Engineering, Electronics and Computer Science > Institute of Databases and Informations Systems > DBIS Research and Teaching > DBIS Research > Publications
Depositing User: M.Sc. Marius Breitmayer
Date Deposited: 14 Nov 2022 13:47
Last Modified: 25 Jan 2023 15:09

Available Versions of this Item

Actions (login required)

View Item
View Item