Policy-Driven Process Mapping (PDPM): Discovering process models from business policies

Wang, Harry Jiannan; Zhao, Jing; Zhang, Liang-Jie

doi:10.1016/j.dss.2009.08.006

Cited by 32 publications

(16 citation statements)

References 21 publications

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“…The objective is to support business process management, for both technical users and business users, by providing a notation that is intuitive to business users (Wang et al 2009) propose a novel methodology called Policy-Driven Process Mapping (PDPM) for extracting process models from business policy documents, it is the first systematic approach to the discovery of process models from business policies. Therefore, different from previous studies which cover some particular aspects in P2P lending, we want to study P2P lending process model and how the data is flow in them.…”

Section: Introductionmentioning

confidence: 99%

A process model on P2P lending

Wang

Chen

Wei

et al. 2015

Financial Innovation

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Background: Online peer-to-peer lending (P2P lending) is booming as the popularity of e-finance. To develop a conceptual model for the P2P lending process is great valuable for managers to tack the issues of marketing, management and operation. Methods: In this paper, we focus on the P2P lending process model and provide a comparative analysis comparing with traditional bank loan process. Results: Firstly, our model shows that the information flow in P2P lending is more frequent and transparent. Secondly, the model reveals that P2P lending uses a quite different credit audition method, which relies on information and the decision model in the P2P systems. Thirdly, the loan management is not complete normally in P2P lending, because most P2P companies do not have the post-loan records of borrowers. Conclusions: These findings inspire future studies and practices on P2P lending process and key technologies.

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Section: Introductionmentioning

confidence: 99%

A process model on P2P lending

Wang

Chen

Wei

et al. 2015

Financial Innovation

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“…Although business policies have been used in both traditional and analytical process mapping approaches aforementioned, no existing method has focused on deriving process models from business policies in a systematic manner. In our previous research, we proposed a policy-driven process mapping methodology, which leverages business policies and extract process models from policies by following a set of algorithms and rules (Wang et al 2006). Although that approach shows the possibility and provides insights for process model extraction based on business policies, the procedure of analyzing business policies for process information is still manual, which does not provide direct solution for the process policy information overload problem discussed in the previous section.…”

Section: Process Mapping and Process Miningmentioning

confidence: 99%

“…In our previous research (Wang et al 2006), we conducted a case study of a business policy manual and found that rich process information can be found in those policies to construct graphical process models via a systematic procedure. That research serves as the foundation for our PBPM approach in this paper.…”

Section: A Framework For Policy-based Process Miningmentioning

confidence: 99%

A policy-based process mining framework: mining business policy texts for discovering process models

Wang

Zhang

et al. 2009

Inf Syst E-Bus Manage

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Many organizations use business policies to govern their business processes, often resulting in huge amounts of policy documents. As new regulations arise such as Sarbanes-Oxley, these business policies must be modified to ensure their correctness and consistency. Given the large amounts of business policies, manually analyzing policy documents to discover process information is very timeconsuming and imposes excessive workload. In order to provide a solution to this information overload problem, we propose a novel approach named Policy-based Process Mining (PBPM) to automatically extracting process information from policy documents. Several text mining algorithms are applied to business policy texts in order to discover process-related policies and extract such process components as tasks, data items, and resources. Experiments are conducted to validate the extracted components and the results are found to be very promising. To the best of our knowledge, PBPM is the first approach that applies text mining towards

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“…Syntax parsing and textual patterns are used to create BPMN models in the approach of the R-BPD toolkit [73,74]. Further approaches on generating BPMN from text have been presented [75,76,77,78]. Our approach is informative to these works, as it provides the basis for a text-to-model model-to-text round-tripping.…”

Section: Related Workmentioning

confidence: 99%

On the refactoring of activity labels in business process models

Leopold

Smirnov

Mendling

2012

Information Systems

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Large corporations increasingly utilize business process models for documenting and redesigning their operations. The extent of such modeling initiatives with several hundred models and dozens of often hardly trained modelers calls for automated quality assurance. While formal properties of control flow can easily be checked by existing tools, there is a notable gap for checking the quality of the textual content of models, in particular, its activity labels. In this paper, we address the problem of activity label quality in business process models. We designed a technique for the recognition of labeling styles, and the automatic refactoring of labels with quality issues. More specifically, we developed a parsing algorithm that is able to deal with the shortness of activity labels, which integrates natural language tools like WordNet and the Stanford Parser. Using three business process model collections from practice with differing labeling style distributions, we demonstrate the applicability of our technique. In comparison to a straightforward application of standard natural language tools, our technique provides much more stable results. As an outcome, the technique shifts the boundary of process model quality issues that can be checked automatically from syntactic to semantic aspects.

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Policy-Driven Process Mapping (PDPM): Discovering process models from business policies

Cited by 32 publications

References 21 publications

A process model on P2P lending

A process model on P2P lending

A policy-based process mining framework: mining business policy texts for discovering process models

On the refactoring of activity labels in business process models

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