A framework for benchmarking service process using data envelopment analysis and decision tree

Seol, Hyeonju; Choi, J.H.; Park, Gwangman; Park, Yongtae

doi:10.1016/j.eswa.2005.12.012

Cited by 54 publications

(25 citation statements)

References 27 publications

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“…As for the root cause analysis, Grigori et al [11,12] focus on understanding, predicting, and preventing exceptions in business executions by using decision trees built upon workflow log files. In the same line of thought, Rozinat and van der Aalst [25] mine event logs for decision point analysis, Apte et al [1] focus on classification and prediction of customer behaviors, and Seol et al [31] use the inputs and outputs of each process to build decision trees for the analysis of the efficiency of processes. There are, however, no works that specifically address the problem of understanding compliance violations.…”

Section: Mining Process Execution Logsmentioning

confidence: 99%

SOA-enabled compliance management: instrumenting, assessing, and analyzing service-based business processes

Rodríguez

Schleicher

Daniel

et al. 2013

SOCA

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Facilitating compliance management, that is, assisting a company's management in conforming to laws, regulations, standards, contracts, and policies, is a hot but non-trivial task. The service-oriented architecture (SOA) has evolved traditional, manual business practices into modern, service-based IT practices that ease part of the problem: the systematic definition and execution of business processes. This, in turn, facilitates the online monitoring of system behaviors and the enforcement of allowed behaviors-all ingredients that can be used to assist compliance management on the fly during process execution. In this paper, instead of focusing on monitoring and runtime enforcement of rules or constraints, we strive for an alternative approach to compliance management in SOAs that aims at assessing and improving compliance. We propose two ingredients: (i) a model and tool to design compliant service-based processes and to instrument them in order to generate evidence of how they are executed and (ii) a reporting and analysis suite to create awareness of a company's compliance state and to enable understanding why and where compliance violations have occurred. Together, these ingredients result in an approach that is close to how the real stakeholderscompliance experts and auditors-actually assess the state of compliance in practice and that is less intrusive than enforcing compliance.

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Section: Mining Process Execution Logsmentioning

confidence: 99%

SOA-enabled compliance management: instrumenting, assessing, and analyzing service-based business processes

Rodríguez

Schleicher

Daniel

et al. 2013

SOCA

View full text Add to dashboard Cite

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“…However, few related approaches for the mining of business processes are in place (Rozinat & Aalst, 2009), (Grigori et al, 2004), (Seol et al, 2007), (Grigori et al, 2001), (Apte et al, 2001), and (Bibelnieks & Campbell, 2000). Similar to our solution, they adopted log files and a consolidated warehouse containing business and process historical data, from where data subsets are extracted and used as input to mining algorithms in order to predict or understand the origin of undesired business process execution behaviors.…”

Section: Related Workmentioning

confidence: 99%

Aiding Compliance Governance in Service-Based Business Processes

Silveira

Rodríguez

Birukou

et al. 2012

Handbook of Research on Service-Oriented Systems and Non-Functional Properties

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Assessing whether a company’s business practices conform to laws and regulations and follow standards and SLAs, i.e., compliance management, is a complex and costly task. Few software tools aiding compliance management exist; yet, they typically do not address the needs of who is actually in charge of assessing and understanding compliance. We advocate the use of a compliance governance dashboard and suitable root cause analysis techniques that are specifically tailored to the needs of compliance experts and auditors. The design and implementation of these instruments are challenging for at least three reasons: (1) it is fundamental to identify the right level of abstraction for the information to be shown; (2) it is not trivial to visualize different analysis perspectives; and (3) it is difficult to manage and analyze the large amount of involved concepts, instruments, and data. This chapter shows how to address these issues, which concepts and models underlie the problem, and, eventually, how IT can effectively support compliance analysis in Service-Oriented Architectures (SOAs).

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“…In the second step, a performance comparison of the applicable integration systems is executed. For that, we transform the informal optimization aim into the mathematical model of DEA (Data Envelopment Analysis) (Seol et al, 2007), which is an operations research technique for analyzing the relative efficiency of two units. It is based on the idea to get the maximal output by providing the minimal input.…”

Section: Inter-system Process Optimizationmentioning

confidence: 99%

Model-Driven Generation and Optimization of Complex Integration Processes

Böehm¹,

Wloka²,

Habich³

et al. 2008

Proceedings of the Tenth International Conference on Enterprise Information Systems

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Abstract:The integration of heterogeneous systems is still one of the main challenges in the area of data management. Its importance is based on the trend towards heterogeneous system environments, where the different levels of integration approaches result in a large number of different integration systems. Due to these proprietary solutions and the lack of a standard for data-intensive integration processes, the model-driven developmentfollowing the paradigm of the Model-Driven Architecture (MDA)-is advantageous. This paper contributes to the model-driven development of complex and data-intensive integration processes. In addition, we illustrate optimization possibilities offered by this model-driven approach and discuss first evaluation results.

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A framework for benchmarking service process using data envelopment analysis and decision tree

Cited by 54 publications

References 27 publications

SOA-enabled compliance management: instrumenting, assessing, and analyzing service-based business processes

SOA-enabled compliance management: instrumenting, assessing, and analyzing service-based business processes

Aiding Compliance Governance in Service-Based Business Processes

Model-Driven Generation and Optimization of Complex Integration Processes

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