Towards Context-Aware Business Process Cost Data Analysis Including the Control-Flow Perspective

2020 ◽  
pp. 193-204
Author(s):  
Dhafer Thabet ◽  
Nourhen Ganouni ◽  
Sonia Ayachi Ghannouchi ◽  
Henda Hajjami Ben Ghezala
Keyword(s):  
Data Analysis ◽  
Business Process ◽  
Control Flow ◽  
Cost Data ◽  
Context Aware ◽  
Process Cost

scholarly journals Context-Aware Business Process Management

2021 ◽  
Author(s):  
Jan vom Brocke ◽  
Marie-Sophie Baier ◽  
Theresa Schmiedel ◽  
Katharina Stelzl ◽  
Maximilian Röglinger ◽  
...  
Keyword(s):  
Business Process ◽  
Process Design ◽  
Context Awareness ◽  
Business Process Management ◽  
Process Management ◽  
Design Science ◽  
Status Quo ◽  
Context Aware ◽  
The Status ◽  
Successful Business

AbstractContext awareness is essential for successful business process management (BPM). So far, research has covered relevant BPM context factors and context-aware process design, but little is known about how to assess and select BPM methods in a context-aware manner. As BPM methods are involved in all stages of the BPM lifecycle, it is key to apply appropriate methods to efficiently use organizational resources. Following the design science paradigm, the study at hand addresses this gap by developing and evaluating the Context-Aware BPM Method Assessment and Selection (CAMAS) Method. This method assists method engineers in assessing in which contexts their BPM methods can be applied and method users in selecting appropriate BPM methods for given contexts. The findings of this study call for more context awareness in BPM method design and for a stronger focus on explorative BPM. They also provide insights into the status quo of existing BPM methods.

scholarly journals A Query Language for Workflow Logs

2022 ◽  
Vol 13 (2) ◽  
pp. 1-28
Author(s):  
Yan Tang ◽  
Weilong Cui ◽  
Jianwen Su
Keyword(s):  
Business Process ◽  
Evaluation Method ◽  
Ad Hoc ◽  
Query Language ◽  
Cost Model ◽  
Formal Semantics ◽  
Control Flow ◽  
Query Evaluation ◽  
Evaluation Algorithm ◽  
Laws And Policies

A business process (workflow) is an assembly of tasks to accomplish a business goal. Real-world workflow models often demanded to change due to new laws and policies, changes in the environment, and so on. To understand the inner workings of a business process to facilitate changes, workflow logs have the potential to enable inspecting, monitoring, diagnosing, analyzing, and improving the design of a complex workflow. Querying workflow logs, however, is still mostly an ad hoc practice by workflow managers. In this article, we focus on the problem of querying workflow log concerning both control flow and dataflow properties. We develop a query language based on “incident patterns” to allow the user to directly query workflow logs instead of having to transform such queries into database operations. We provide the formal semantics and a query evaluation algorithm of our language. By deriving an accurate cost model, we develop an optimization mechanism to accelerate query evaluation. Our experiment results demonstrate the effectiveness of the optimization and achieves up to 50× speedup over an adaption of existing evaluation method.

Recovering Business Process Models with Process Patterns

2013 ◽  
pp. 223-249
Author(s):  
Vitus S. W. Lam
Keyword(s):  
Business Process ◽  
Process Management ◽  
Control Flow ◽  
Process Models ◽  
Interaction Patterns ◽  
Workflow Patterns ◽  
Business Process Models ◽  
The Core ◽  
Forward Engineering ◽  
The Relationship

Originating from a pragmatic need to document strategies for modelling recurrent business scenarios, collections of workflow patterns have been proposed in the business process management community. The concrete applications of these workflow patterns in forward engineering have been extensively explored. Conversely, the core concern of business process archaeology is on recovering business process models from legacy systems utilizing reverse engineering methods. Little attention is given to the relationship between business process recovery and workflow patterns. This chapter aims to give a compact introduction to workflow control-flow patterns, workflow data patterns, workflow exception patterns, and service interaction patterns. In particular, the feasibility of combining workflow patterns with business process archaeology is examined by drawing on the research results of the MARBLE framework.

Business Process Model Abstraction Based on Fuzzy Clustering Analysis

2019 ◽  
Vol 28 (03) ◽  
pp. 1950007
Author(s):  
Nan Wang ◽  
Shanwu Sun ◽  
Ying Liu ◽  
Senyue Zhang
Keyword(s):  
Business Process ◽  
Fuzzy Clustering ◽  
Process Model ◽  
Control Flow ◽  
Business Process Model ◽  
Model Abstraction ◽  
Fuzzy Matrix ◽  
Fuzzy Clustering Analysis ◽  
Complex Process ◽  
Hard Clustering

The most prominent Business Process Model Abstraction (BPMA) use case is a construction of a process “quick view” for rapidly comprehending a complex process. Researchers propose various process abstraction methods to aggregate the activities most of which are based on [Formula: see text]-means hard clustering. This paper focuses on the limitation of hard clustering, i.e. it cannot identify the special activities (called “edge activities” in this paper) and each activity must be classified to some subprocess. A new method is proposed to classify activities based on fuzzy clustering which generates a fuzzy matrix by computing the possibilities of activities belonging to subprocesses. According to this matrix, the “edge activities” can be located. Considering the structure correlation feature of the activities in subprocesses, an approach is provided to generate the initial clusters based on the close connection characteristics of subprocesses. A hard partition algorithm is proposed to classify the edge activities and it evaluates the generated abstract models according to a new index designed by control flow order preserving requirement and the evaluation results guide the edge activities to be classified to the optimal hard partition. The proposed method is applied to a process model repository in use. The results verify the validity of the measurement based on the virtual document to generating fuzzy matrix. Also it mines the threshold parameter in the real world process model collection enriched with human designed subprocesses to compute the fuzzy matrix. Furthermore, a comparison is made between the proposed method and the [Formula: see text]-means clustering and the results show our approach more closely approximating the decisions of the involved modelers to cluster activities and it contributes to the development of modeling support for effective process model abstraction.

Modeling Process-Driven SOAs

2011 ◽  
pp. 27-48
Author(s):  
Huy Tran ◽  
Ta’id Holmes ◽  
Uwe Zdun ◽  
Schahram Dustdar
Keyword(s):  
Business Process ◽  
Process Development ◽  
Control Flow ◽  
Levels Of Abstraction ◽  
Service Oriented Architectures ◽  
Model Driven ◽  
Service Oriented ◽  
The One ◽  
Abstraction Levels ◽  
Model Driven Approach

This chapter introduces a view-based, model-driven approach for process-driven, service-oriented architectures. A typical business process consists of numerous tangled concerns, such as the process control flow, service invocations, fault handling, transactions, and so on. Our view-based approach separates these concerns into a number of tailored perspectives at different abstraction levels. On the one hand, the separation of process concerns helps reducing the complexity of process development by breaking a business process into appropriate architectural views. On the other hand, the separation of levels of abstraction offers appropriately adapted views to stakeholders, and therefore, helps quickly re-act to changes at the business level and at the technical level as well. Our approach is realized as a model-driven tool-chain for business process development.

Context-aware goal-oriented business process aspect modelling

2013 ◽  
Vol 6 (2) ◽  
pp. 112
Author(s):  
Mariam Keriakos ◽  
Hoda M. Hosny ◽  
Sherif G. Aly
Keyword(s):  
Business Process ◽  
Context Aware
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