Patterns Leveraging Analysis Reuse of Business Processes

Paludo, Marco; Burnett, Robert; Jamhour, Edgard

doi:10.1007/978-3-540-44995-9_21

Cited by 5 publications

(2 citation statements)

References 2 publications

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“…Scholars have solved many problems in different fields through different ways of reuse. Paludo [4] proposed the use of patterns to help the software designer to model business processes. Penzenstadler [5] proposed a concrete artefact model for integrated reuse from requirements to technical architecture, which satisfies documentation demands with respect to functionality and the context assumed by the subsystem.…”

Section: Introductionmentioning

confidence: 99%

ACO-RR: Ant Colony Optimization Ridge Regression in Reuse of Smart City System

Yin

Niu

et al. 2019

Lecture Notes in Computer Science

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With the rapid development of artificial intelligence, governments of different countries have been focusing on building smart cities. To build a smart city is a system construction process which not only requires a lot of human and material resources, but also takes a long period of time. Due to the lack of enough human and material resources, it is a key challenge for lots of small and medium-sized cities to develop the intelligent construction, compared with the large cities with abundant resources. Reusing the existing smart city system to assist the intelligent construction of the small and medium-sizes cities is a reasonable way to solve this challenge. Following this idea, we propose a model of Ant Colony Optimization Ridge Regression (ACO-RR), which is an smart city evaluation method based on the ridge regression. The model helps small and medium-sized cities to select and reuse the existing smart city systems according to their personalized characteristics from different successful stories. Furthermore, the proposed model tackles the limitation of ridge parameters' selection affecting the stability and generalization ability, because the parameters of the traditional ridge regression is manually random selected. To evaluate our model performance, we conduct experiments on real-world smart city data set. The experimental results demonstrate that our model outperforms the baseline methods, such as support vector machine and neural network.

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Section: Introductionmentioning

confidence: 99%

ACO-RR: Ant Colony Optimization Ridge Regression in Reuse of Smart City System

Yin

Niu

et al. 2019

Lecture Notes in Computer Science

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“…The publication discussed the modeling of business processes only for the static view such as by presenting class diagrams describing the implementation of software support for business processes (an example would be Paludo et al, 2000).…”

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confidence: 99%

Business process model patterns: state-of-the-art, research classification and taxonomy

Fellmann

Koschmider

Laue

et al. 2018

BPMJ

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Purpose Patterns have proven to be useful for documenting general reusable solutions to a commonly occurring problem. In recent years, several different business process management (BPM)-related patterns have been published. Despite the large number of publications on this subject, there is no work that provides a comprehensive overview and categorization of the published business process model patterns. The purpose of this paper is to close this gap by providing a taxonomy of patterns as well as a classification of 89 research works. Design/methodology/approach The authors analyzed 280 research articles following a structured iterative procedure inspired by the method for taxonomy development from Nickerson et al. (2013). Using deductive and inductive reasoning processes embedded in concurrent as well as joint research activities, the authors created a taxonomy of patterns as well as a classification of 89 research works. Findings In general, the findings extend the current understanding of BPM patterns. The authors identify pattern categories that are highly populated with research works as well as categories that have received far less attention such as risk and security, the ecological perspective and process architecture. Further, the analysis shows that there is not yet an overarching pattern language for business process model patterns. The insights can be used as starting point for developing such a pattern language. Originality/value Up to now, no comprehensive pattern taxonomy and research classification exists. The taxonomy and classification are useful for searching pattern works which is also supported by an accompanying website complementing the work. In regard to future research and publications on patterns, the authors derive recommendations regarding the content and structure of pattern publications.

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Developing the Evaluation of a Pattern-Based Approach for Business Process Improvement

Griesberger

2014

Advancing the Impact of Design Science: Moving From Theory to Practice

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Patterns Leveraging Analysis Reuse of Business Processes

Cited by 5 publications

References 2 publications

ACO-RR: Ant Colony Optimization Ridge Regression in Reuse of Smart City System

ACO-RR: Ant Colony Optimization Ridge Regression in Reuse of Smart City System

Business process model patterns: state-of-the-art, research classification and taxonomy

Developing the Evaluation of a Pattern-Based Approach for Business Process Improvement

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