Business process management with the user requirements notation

Pourshahid, Alireza; Amyot, Daniel; Peyton, Liam; Ghanavati, Sepideh; Chen, Pengfei; Weiß, Michael; Forster, Alan J.

doi:10.1007/s10660-009-9039-z

Cited by 118 publications

(77 citation statements)

References 18 publications

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“…Pourshahid et al [14] address a very important aspect concerning the customization and the improvement of a system, which is the alignment between business goals and the business process. It extends the User Requirements Notation (URN) [6,45] with Key Performance Indicators (KPIs) [46], whose monitoring guides the alignment between goals and a business process.…”

Section: Related Workmentioning

confidence: 99%

“…Baresi et al [13] propose adaptation requirements, called adaptation goals, to customize a system at runtime and maintain a correct execution course. Pourshahid et al [14] study the alignment between requirements, expressed as goals, and the business process of an organization based on monitoring a set of Key Performance Indicators (KPIs) and then decide whether an adaptation action should take place. The context variability of a system environment is also a very important factor which highly affects the customization of requirements and we focus on it in this paper.…”

Section: Introductionmentioning

confidence: 99%

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Requirements-driven deployment

2012

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Deployment is a main development phase which configures a software to be ready for use in a certain environment. The ultimate goal of deployment is to enable users to achieve their requirements while using the deployed software. However, requirements are not uniform and differ between deployment environments. In one environment, certain requirements could be useless or redundant, thereby making some software functionalities superfluous. In another environment, instead, some requirements could be impossible to achieve and, thus, additional functionalities would be required. We advocate that ensuring fitness between requirements and the system environment is a basic and critical step to achieve a comprehensive deployment process. We propose a tool-supported modelling and analysis approach to tailor a requirements model to each environment in which the system is to be deployed. We study the case of contextual goal model, which is a requirements model that captures the relationship between the variability of requirements (goal variability space) and the varying states of a deployment environment (context variability space). Our analysis relies on sampling a deployment environment to discover its context variability space and use it to identify loci in the contextual goal model where a modification has to take place. Finally, we apply our approach in practice and report on the obtained results.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Requirements-driven deployment

2012

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“…Notice how the worst and target values are mapped respectively to -1 and +1 levels, while the threshold value is mapped to 0. A linear interpolation 2 is used to approximate performance levels, as also described by System equation 1 [12]. For instance, the performance level (pl) for Figure 3 is pl(60) = |60−40| |80−40| = 0.5.…”

Section: Indicatorsmentioning

confidence: 99%

Reasoning with Key Performance Indicators

Barone

Jiang

Amyot

et al. 2011

Lecture Notes in Business Information Processing

Self Cite

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Abstract. Business organizations continuously monitor their environments, looking out for opportunities and threats that may help/hinder the fulfilment of their objectives. We are interested in strategic business models that support such governance activities. In this paper, we focus on the concept of composite indicator and show how it can be used as basic building block for strategic business models that support evaluation and decision-making. The main results of this paper include techniques and algorithms for deriving values for composite indicators, when the relationship between a composite indicator and its component indicators cannot be fully described using well-defined mathematical functions. Evaluation of our proposal includes an implemented Eclipse-based prototype tool supporting these techniques and two ongoing case studies.

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“…Other works have also extended i* [22] and related frameworks (e.g., URN [23]) towards enterprise and business modeling, e.g., [24]. A recent extension of URN includes indicators [2], but does not address the question of how to link the business level view to technology. The BIM aims to unify various modeling concepts into a coherent framework with reasoning support and connection to enterprise data, built upon a firm conceptual modeling foundation.…”

Section: Related Workmentioning

confidence: 99%

“…Typically, strategic initiatives identify opportunities and enact change through a continuous process of monitoring and measurement to align operational performance with strategic targets. A tool-supported methodology that can integrate goals, processes and performance is essential to help management implement such initiatives by automating or semi-automating some of the implementation tasks [2]. In current practice, key performance indicators play a bridging role by integrating data from a variety of sources inside and outside an organization to measure how well strategic business targets are being met [3].…”

Section: Introductionmentioning

confidence: 99%

Towards Model-Based Support for Managing Organizational Transformation

Barone

Peyton

Rizzolo

et al. 2011

Lecture Notes in Business Information Processing

Self Cite

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Abstract. In an increasingly connected and dynamic world, most organizations are continuously evolving their business objectives, processes and operations through ongoing transformation and renewal, while their external environment is changing simultaneously. In such a setting, it is imperative for organizations to continuously monitor their performance and adjust when there is a need. The technology that delivers this monitoring capability is called Business Intelligence (BI), and over the years it has come to play a central role in business operations and governance. Unfortunately, there is a huge cognitive gap between the strategic business level view of goals, processes, and performance on one hand, and the technological/implementation view of databases, networks, and computational processing offered by BI tools on the other.In this paper, we present a model-based framework for bridging this cognitive gap and demonstrate its usefulness through a case study involving organizational transformation. The business view is modeled in terms of the Business Intelligence Model (BIM), while the data collection and reporting infrastructure is expressed in terms of the Conceptual Integration Model (CIM). The case study involves a hospital implementing a strategic initiative to reduce antibiotic resistant infections.

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Business process management with the user requirements notation

Cited by 118 publications

References 18 publications

Requirements-driven deployment

Requirements-driven deployment

Reasoning with Key Performance Indicators

Towards Model-Based Support for Managing Organizational Transformation

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