Requirements-Driven Design and Configuration Management of Business Processes

Lapouchnian, Alexei; Yu, Yijun; Mylopoulos, John

doi:10.1007/978-3-540-75183-0_18

Cited by 103 publications

(60 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…On top of variability in data/control dependencies, we introduced the variability in delegation dependencies. Combining the variability support in data, control and delegation dependencies, we were able to generate high-variability business process models in WS-BPEL [19]. In this work, the interface types of component-connector views in WSDL (Web service definition language) were implemented by Web services and controlled by another Web service.…”

Section: Business Processes Viewmentioning

confidence: 99%

“…On the basis of the metamodel of annotated high-variability goal models, we developed a model-driven goal modeling tool, OpenOME 6 , which is capable of editing goal models, adding annotations, and generating the design views such as feature models [31] and BPEL processes [19]. A simplified goal model in Figure 1 is represented by the XML document in Figure 5a.…”

Section: Tool Support and Traceabilitymentioning

confidence: 99%

See 1 more Smart Citation

From Goals to High-Variability Software Design

Lapouchnian

Liaskos

et al.

Lecture Notes in Computer Science

Self Cite

View full text Add to dashboard Cite

Abstract. Software requirements consist of functionalities and qualities to be accommodated during design. Through goal-oriented requirements engineering, stakeholder goals are refined into a space of alternative functionalities. We adopt this framework and propose a decision-making process to generate a generic software design that can accommodate the full space of alternatives each of which can fulfill stakeholder goals. Specifically, we present a process for generating complementary design views from a goal model with high variability in configurations, behavioral specifications, architectures and business processes.

show abstract

Section: Business Processes Viewmentioning

confidence: 99%

Section: Tool Support and Traceabilitymentioning

confidence: 99%

From Goals to High-Variability Software Design

Lapouchnian

Liaskos

et al.

Lecture Notes in Computer Science

Self Cite

View full text Add to dashboard Cite

show abstract

“…Furthermore, the tool checks the generated alternatives to detect those including tasks executing in parallel and leading to conflicts. RE-Context expects the analyst to specify the effect of each task on the environment, the parallel and sequence operators on a goal model [21], and the logical relations between contexts. More details on this component can be found in [19].…”

Section: Case Tool: Re-contextmentioning

confidence: 99%

Requirements-driven deployment

2012

View full text Add to dashboard Cite

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.

show abstract

“…Business process customization is usually opposed to configuration, which aims at designing reference process models capturing the behavior of a set of process variants serving the same business goal [22][23][24]. We argue that the business process configuration approach does not suit mass-customization, since capturing all possible process variants in a single process model leads to very complex models that are not easily understandable by the process customers.…”

Section: Related Workmentioning

confidence: 99%

Patterns to Enable Mass-Customized Business Process Monitoring

Comuzzi

Angelov

Vonk³

2012

Advanced Information Systems Engineering

View full text Add to dashboard Cite

This is the accepted version of the paper.This version of the publication may differ from the final published version. Abstract. Mass-customization challenges the one-size-fits-all assumption of mass production, allowing customers to specify the options that best fit their requirements when choosing a product or a service. In business process management, to achieve mass-customization, providers offer to their customers the opportunity to customize the way in which a process will be enacted. We focus on monitoring as a specific customization aspect. We propose a multidimensional classification of modeling patterns for customized monitoring infrastructures. Patterns enable the provider to offer a set of customizable options to customers and design a monitoring infrastructure that fits the preferences specified by customers on such options. An example in the online advertising industry demonstrates how our framework can improve the services currently offered by providers. Permanent repository link

show abstract

Requirements-Driven Design and Configuration Management of Business Processes

Cited by 103 publications

References 18 publications

From Goals to High-Variability Software Design

From Goals to High-Variability Software Design

Requirements-driven deployment

Patterns to Enable Mass-Customized Business Process Monitoring

Contact Info

Product

Resources

About