Model Driven Development for Business Performance Management

Chowdhary, Pawan; Bhaskaran, Kumar; Caswell, N.; Chang, Henry; Tian, Chao; Chen, S.-K.; Dikun, M.; Liu, Hui; Jeng, Jun-Jang; Kapoor, Shubir; Lang, Christian; Mihaila, George A.; Stanoi, Ioana; Zeng, Liangzhao

doi:10.1147/sj.453.0587

Cited by 40 publications

(24 citation statements)

References 19 publications

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“…They implemented prototypes and showed applicability of the proposed framework for adaptive inventory management and demand/supply conditioning in two pilot projects in IBM divisions. This line of research was continued by Chowdhary et al [6], where they applied model-driven techniques to IBM Business Performance Management (BPM) solution and illustrated their framework in a scenario of a pilot project. Also, Kapoor et al [19] proposed a model-driven development framework for a sense-and-respond supply chain.…”

Section: Related Workmentioning

confidence: 99%

From Business Intelligence Insights to Actions: A Methodology for Closing the Sense-and-Respond Loop in the Adaptive Enterprise

Nalchigar¹,

Yu²

2013

Lecture Notes in Business Information Processing

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Abstract. Business Intelligence (BI) and analytics play a critical role in modern businesses by assisting them to gain insights about internal operations and the external environment and to make timely data-driven decisions. Actions resulting from these insights often require changes to various parts of the enterprise. A significant challenge in these contexts is to systematically connect and coordinate the BI-driven insights with consequent enterprise decisions and actions. This paper proposes a methodology for closing the gap between what an enterprise senses from BI-driven insights and its response actions and changes. This methodology adopts and synthesizes existing modeling frameworks, mainly i * and the Business Intelligence Model (BIM), to provide a coherent step-bystep way of connecting the sensed signals of the enterprise to subsequent responses, and hence to make BI and analytics more actionable and understandable. Applicability of the proposed methodology is illustrated in a case scenario.

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Section: Related Workmentioning

confidence: 99%

From Business Intelligence Insights to Actions: A Methodology for Closing the Sense-and-Respond Loop in the Adaptive Enterprise

Nalchigar¹,

Yu²

2013

Lecture Notes in Business Information Processing

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“…Chowdhary et al [13] present a MDD framework and methodology for creating Business Performance Management (BPM) solutions. This is, a guideline is described for implementing complex BPM solutions using an MDD approach.…”

Section: Related Work On Requirements Monitoringmentioning

confidence: 99%

Model-aware Monitoring of SOAs for Compliance

Holmes

Mulo

Zdun

et al. 2011

Service Engineering

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Business processes today are supported by process-driven service oriented architectures. Due to the increasing importance of compliance of an organization with regulatory requirements and internal policies, there is a need for appropriate techniques to monitor organizational information systems as they execute business processes. Event-based monitoring of processes is one of the ways to provide runtime process-state information. This type of monitoring, however, has limitations mostly related to the type and amount of information available in events and process engines. We propose a novel approach -model-aware monitoring of business processes -to address these limitations. Emitted events contain unique identifiers of models that can be retrieved dynamically during runtime from a model-aware repository and service environment (MORSE). The size of the events is kept small and patterns of events that signify interesting occurrences are identified through complex event processing and are signaled to interesting components such as a business intelligence. To illustrate our approach we present an industry case study where we have applied this generic infrastructure for the compliance monitoring of business processes.

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“…Validation then takes place in online or offline operation mode (4). In case of a violation (i.e., Form 8-K has not been published within two business days according to the PublishDeadline), it is signaled in the dashboard.…”

Section: Emit Eventsmentioning

confidence: 99%

“…In case of a violation the MORSE approach not only allows us to relate to requirement models but also to the models of the monitored system. Chowdhary et al [4] present a MDD framework and methodology for creating Business Performance Management (BPM) solutions. This is, a guideline is described for implementing complex BPM solutions using an MDD approach.…”

Section: Related Workmentioning

confidence: 99%

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Monitoring and Analyzing Service-Based Internet Systems through a Model-Aware Service Environment

Holmes

Zdun

Daniel

et al. 2010

Notes on Numerical Fluid Mechanics and Multidisciplinary Design

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As service-based Internet systems get increasingly complex they become harder to manage at design time as well as at runtime. Nowadays, many systems are described in terms of precisely specified models, e.g., in the context of model-driven development. By making the information in these models accessible at runtime, we provide better means for analyzing and monitoring the service-based systems. We propose a model-aware repository and service environment (MORSE) to support model access and evolution at both design time and runtime. MORSE focuses on enabling us to monitor, interpret, and analyze the monitored information. In an industrial case study, we demonstrate how compliance monitoring can benefit from MORSE to monitor violations at runtime and how MORSE can ease the root cause analysis of such violations. Performance and scalability evaluations show the applicability of our approach for the intended use cases and that models can be retrieved during execution at low cost.

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Model Driven Development for Business Performance Management

Cited by 40 publications

References 19 publications

From Business Intelligence Insights to Actions: A Methodology for Closing the Sense-and-Respond Loop in the Adaptive Enterprise

From Business Intelligence Insights to Actions: A Methodology for Closing the Sense-and-Respond Loop in the Adaptive Enterprise

Model-aware Monitoring of SOAs for Compliance

Monitoring and Analyzing Service-Based Internet Systems through a Model-Aware Service Environment

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