Creating Declarative Process Models Using Test Driven Modeling Suite

Zugal, Stefan; Pinggera, Jakob; Weber, Barbara

doi:10.1007/978-3-642-29749-6_2

Cited by 42 publications

(39 citation statements)

References 27 publications

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“…The experiment was conducted in December 2011 in a course on business process management at the University of Ulm; in total 31 students participated. Again, CEP [21] and TDMS [30] were used as operational support.…”

Section: Experiments 2: Test Cases In Declarative Business Process Modmentioning

confidence: 99%

“…The experiment was conducted in December 2010 in a course on business process management at the University of Innsbruck; in total 12 students participated. Operational support for collecting demographic data was provided by Cheetah Experimental Platform (CEP) [21], modeling assignments were conducted using Test Driven Modeling Suite (TDMS) [30].…”

Section: Experiments 1: Test Cases In Declarative Business Process Modmentioning

confidence: 99%

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Making the case for measuring mental effort

Zugal

Pinggera

Reijers

et al. 2012

Proceedings of the Second Edition of the International Workshop on Experiences and Empirical Studies in Software Modelling

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To empirically investigate conceptual modeling languages, subjects are typically confronted with experimental tasks, such as the creation, modification or understanding of conceptual models. Thereby, accuracy, i.e., the amount of correctly performed tasks divided by the number of total tasks, is usually used to assess performance. Even though accuracy is widely adopted, it is connected to two often overlooked problems. First, accuracy is a rather insensitive measure. Second, for tasks of low complexity, the measurement of accuracy may be distorted by peculiarities of the human mind. In order to tackle these problems, we propose to additionally assess the subject's mental effort, i.e., the mental resources required to perform a task. In particular, we show how aforementioned problems connected to accuracy can be resolved, that mental effort is a valid measure of performance and how mental effort can easily be assessed in empirical research.

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Section: Experiments 2: Test Cases In Declarative Business Process Modmentioning

confidence: 99%

Section: Experiments 1: Test Cases In Declarative Business Process Modmentioning

confidence: 99%

Making the case for measuring mental effort

Zugal

Pinggera

Reijers

et al. 2012

Proceedings of the Second Edition of the International Workshop on Experiences and Empirical Studies in Software Modelling

Self Cite

View full text Add to dashboard Cite

show abstract

“…Even though these works provide valuable insights into hierarchical models, none of these works deals with declarative process models. The understandability of declarative process models in general has been investigated in [66][67][68]; however, in contrast to this work, hierarchy is not discussed. With respect to understandability of process models in general, work dealing with the understandability of imperative business process models is related.…”

Section: Related Workmentioning

confidence: 99%

Investigating expressiveness and understandability of hierarchy in declarative business process models

et al. 2013

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Hierarchy has widely been recognized as a viable approach to deal with the complexity of conceptual models. For instance, in declarative business process models, hierarchy is realized by sub-processes. While technical implementations of declarative sub-processes exist, their application, semantics, and the resulting impact on understandability are less understood yet-this research gap is addressed in this work. More specifically, we discuss the semantics and the application of hierarchy and show how subprocesses enhance the expressiveness of declarative modeling languages. Then, we turn to the influence of hierarchy on the understandability of declarative process models. In particular, we present a cognitive-psychology-based framework that allows to assess the impact of hierarchy on the understandability of a declarative process model. To empirically Communicated by Dr. Selmin Nurcan. test the proposed framework, a combination of quantitative and qualitative research methods is followed. While statistical tests provide numerical evidence, think-aloud protocols give insights into the reasoning processes taking place when reading declarative process models.

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“…However, the combination of constraints and in particular pairs of constraints, in turn, pose considerable chal-lenges. In this sense, for instance, approaches providing computer-based support for the interpretation of constraints seem promising [17].…”

Section: Minimum Maximum Meanmentioning

confidence: 99%

Investigating Differences between Graphical and Textual Declarative Process Models

Haisjackl

Zugal

2014

Lecture Notes in Business Information Processing

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Abstract. Declarative approaches to business process modeling are regarded as well suited for highly volatile environments, as they enable a high degree of flexibility. However, problems in understanding declarative process models often impede their adoption. Particularly, a study revealed that aspects that are present in both imperative and declarative process modeling languages at a graphical level-while having different semantics-cause considerable troubles. In this work we investigate whether a notation that does not contain graphical lookalikes, i.e., a textual notation, can help to avoid this problem. Even though a textual representation does not suffer from lookalikes, in our empirical study it performed worse in terms of error rate, duration and mental effort, as the textual representation forces the reader to mentally merge the textual information. Likewise, subjects themselves expressed that the graphical representation is easier to understand.

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Creating Declarative Process Models Using Test Driven Modeling Suite

Cited by 42 publications

References 27 publications

Making the case for measuring mental effort

Making the case for measuring mental effort

Investigating expressiveness and understandability of hierarchy in declarative business process models

Investigating Differences between Graphical and Textual Declarative Process Models

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