SENov 11, 2015

Making Sense of Declarative Process Models: Common Strategies and Typical Pitfalls

arXiv:1511.03493v130 citations
Originality Synthesis-oriented
AI Analysis

This addresses a problem for business process analysts by identifying common misunderstandings and pitfalls in declarative modeling, but it is incremental as it provides initial insights without proposing a new solution.

The paper tackled the problem of how analysts understand declarative process models, which are flexible but often hard to maintain, by conducting an exploratory study where subjects described real-world models; the result showed that subjects tended to interpret them sequentially despite their circumstantial nature, and they faced difficulties with building blocks and activity relations.

Declarative approaches to process modeling are regarded as well suited for highly volatile environments as they provide a high degree of flexibility. However, problems in understanding and maintaining declarative business process models impede often their usage. In particular, how declarative models are understood has not been investigated yet. This paper takes a first step toward addressing this question and reports on an exploratory study investigating how analysts make sense of declarative process models. We have handed out real-world declarative process models to subjects and asked them to describe the illustrated process. Our qualitative analysis shows that subjects tried to describe the processes in a sequential way although the models represent circumstantial information, namely, conditions that produce an outcome, rather than a sequence of activities. Finally, we observed difficulties with single building blocks and combinations of relations between activities.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes