TY  - CHAP
A1  - Schneid, Konrad
A1  - Kuchen, Herbert
A1  - Thöne, Sebastian
A1  - Di Bernardo, Sascha
T1  - Uncovering Data-Flow Anomalies in BPMN-Based Process-Driven Applications
T2  - Proceedings of the 36th Annual ACM Symposium on Applied Computing
N2  - Process-Driven Applications flourish through the interaction between an executable BPMN process model, human tasks, and external software services. All these components operate on shared process data, so it is even more important to check the correct data flow. However, data flow is in most cases not explicitly defined but hidden in model elements, form declarations, and program code. This paper elaborates on data-flow anomalies acting as indicators for potential errors and how such anomalies can be uncovered despite implicit and hidden data-flow definitions. By considering an integrated view, it goes beyond other approaches which are restricted to separate data-flow analysis of either process model or source code. The main idea is to merge call graphs representing programmed services into a control-flow representation of the process model, to label the resulting graph with associated data operations, and to detect anomalies in that labeled graph using a dedicated data-flow analysis. The applicability of the solution is demonstrated by a prototype designed for the Camunda BPM platform.
KW  - BPMN
KW  - Data-Flow Anomalies
KW  - Process-Driven Application
KW  - Control-Flow Graph Analysis
Y1  - 2021
SN  - 9781450381048
U6  - http://dx.doi.org/10.1145/3412841.3442025
SP  - 1504
EP  - 1512
PB  - Association for Computing Machinery
CY  - New York, NY, USA
ER  - 
TY  - RPRT
A1  - Schneid, Konrad
A1  - Di Bernardo, Sascha
A1  - Kuchen, Herbert
A1  - Thöne, Sebastian
T1  - Data-Flow Analysis of BPMN-Based Process-Driven Applications: Detecting Anomalies across Model and Code
T2  - ERCIS Working Papers, 38
Y1  - 2021
UR  - https://www.ercis.org/research/ercis-working-papers
SN  - 1614-7448
ER  - 
TY  - CHAP
A1  - Schneid, Konrad
A1  - Stapper, Leon
A1  - Thöne, Sebastian
A1  - Kuchen, Herbert
T1  - Automated Regression Tests: A No-Code Approach for BPMN-based Process-Driven Applications
T2  - 2021 IEEE 25th International Enterprise Distributed Object Computing Conference (EDOC)
N2  - BPMN-based Process-Driven Applications (PDA) require less coding since they are not only based on source code, but also on executable process models. Automated testing of such model-driven applications gains growing relevance, and it becomes a key enabler if we want to found their development on continuous integration (CI) techniques.While process analysts are typically responsible for test case specifications from a business perspective, technically skilled process engineers take the responsibility for implementing the required test code. This is time-consuming and, due to their often different skills and backgrounds, might result in communication problems such as information losses and misunderstandings. This paper presents a new approach which enables an analyst to generate executable tests for PDAs without the need for manual coding. It consists of a sophisticated model analysis, a wizard-based specification of test cases, and a subsequent code generation. The resulting tests can easily be integrated into CI pipelines.The concept is underpinned by a user-friendly tool which has been evaluated in case studies and in real-world implementation projects from different industry sectors. During the evaluation, the prototype proved a more efficient test creation process and a higher test quality.
KW  - Model-Based Testing
KW  - BPMN
KW  - Process-Driven Application
KW  - No-Code
Y1  - 2021
SN  - 978-1-6654-3579-6
U6  - http://dx.doi.org/10.1109/EDOC52215.2021.00014
SN  - 2325-6362
SP  - 31
EP  - 40
PB  - IEEE
CY  - Gold Coast, Australia
ER  -