A BPMN Extension for Including Data Quality Requirements in Business Process Modeling

Rodríguez, Alfonso Sánchez; Caro, Ángélica; Cappiello, Cinzia; Caballero, Ismael

doi:10.1007/978-3-642-33155-8_10

Cited by 31 publications

(20 citation statements)

References 9 publications

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“…This is based on a formal representation of both real world and information system values. Recently, an extension of BPMN to address data quality issues has been proposed [3], but it mostly focuses on elicitation and definition of data quality requirements to be represented in a process model. These works address process design or redesign, but not based on real data analysis.…”

Section: The Relation Of the Work To The State Of Art In Bpmmentioning

confidence: 99%

Detecting, Assessing, and Mitigating Data Inaccuracy-Related Risks in Business Processes

Tsoury

Soffer

Reinhartz-Berger

2015

Business Process Management Workshops

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Abstract. Business process activities and their outcomes rely on data that is commonly stored in databases. If the stored data is not accurate, namely, it does not reflect the relevant real world values, the process execution might be disrupted and the process might not be able to reach its goal. Detection of such cases and analysis of their causes may help redesign processes to reduce the potential risks. In this research, we aim to develop a semi-automated method that will enable detection, assessment, and mitigation of risks related to data inaccuracy in business processes. The method will be built on and evaluated with real cases from the industry.Keywords: Business processes Á Data inaccuracy Á Process design Á Process mining Á Risk assessment The Research Problem Being AddressedThe management of business processes is commonly supported by process aware information systems (PAIS), storing, using and manipulating data. The process activities and their outcomes influence the state of the organization and its environment [6]. An underlying assumption is that the data truly reflects reality (real-world values). However, it is well known that the information which exists in PAIS is not always accurate [1].As process activities rely on the existing (stored) data, incorrect values might harm decision-making and the resulting outcomes of the process. For understanding the impact of data inaccuracy on processes, we raise the following questions: how does inaccuracy of data affect the results of the process and the process ability to complete its execution? What are the risks associated with data inaccuracy? How can these risks be mitigated?To illustrate, consider a conference management process through EasyChair. During papers bidding, the reviewers are asked to indicate whether they wish, don't mind, "resist", or have a conflict to review each paper. The resulting data might be inaccurate, not reflecting their "real" preferences and conflicts. This might happen due to lack of attention and using the default voting for some of the papers. As a result, paper assignment to reviewers might be harmed or might need corrections at a later phase, or the outcome of the review process might be negatively affected, e.g., by getting fewer reviews for certain papers.

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Section: The Relation Of the Work To The State Of Art In Bpmmentioning

confidence: 99%

Detecting, Assessing, and Mitigating Data Inaccuracy-Related Risks in Business Processes

Tsoury

Soffer

Reinhartz-Berger

2015

Business Process Management Workshops

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“…There are many attempts described in literature aiming at enhancing modelling notations by additional information, which would help to understand better the domain or offer the specific views of the process. For example A. Rodríguez et al [13] propose an extension for including data quality requirements in process models. P. Bocciarelli and A.…”

Section: Extending Bpmnmentioning

confidence: 99%

Process-oriented approach to competency management using ontologies

Pawełoszek

2017

Annals of Computer Science and Information Systems

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Abstract-Popularization of process approach as a standard necessitates changing the ways of defining and identifying requisite competencies. They should be seen in the framework of tasks implemented within the business process. The complex nature of competencies requires expressive forms of description regarding their multidimensional character therefore codification of competencies is the area predestinated to make use of ontologies. The aim of this paper is to show how the ontology describing competencies can be linked with business process models to support process-oriented, dynamic competency management in a company. With this aim in mind a proposal of practical implementation of ontology-enhanced business process model was presented and illustrated by the example of software development.

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“…BPMN ha demostrado una gran expresividad, que además puede ser extendida para dar cabida a nuevos aspectos relacionados con los BP. Entre las extensiones propuestas en la literatura se pueden mencionar algunas orientadas a: expresar algunas necesidades de los clientes, tales como tiempo, costo y fiabilidad (Saeedi, Zhao, & Falcone Sampaio, 2010), especificar propiedades no funcionales como desempeño y fiabilidad (Bocciarelli & D'Ambrogio, 2011), modelar requisitos de seguridad en BP (Rodríguez, Fernández-Medina, & Piattini, 2007a), representar explícitamente restricciones legales (Goldner & Papproth, 2011), analizar el desempeño de los procesos de negocio (Lodhi, Veit, & Saake, 2011) y expresar requisitos de calidad de datos (Rodríguez et al, 2012), entre otras.…”

Section: Trabajos Relacionadosunclassified

“…En particular, la representación de requisitos de DQ en modelos procesos de negocio no había sido abordada hasta (Rodríguez et al, 2012). La calidad de datos ha sido definida como un concepto multidimensional, dependiente del contexto y que representa el hecho que los datos sean "apropiados para el uso" (Strong, Lee, & Wang, 1997;Wang & Strong, 1996).…”

Section: Trabajos Relacionadosunclassified

“…Con el propósito de incluir requisitos de DQ en conjunto con la descripción del BP, en trabajos previos (Rodríguez, Caro, Cappiello, & Caballero, 2012) se ha extendido la capacidad expresiva de BPMN (Object Management Group, 2011). Complementariamente, se ha propuesto un método, BPiDQ (Caro, Rodriguez, Cappiello, & Caballero, 2012), que permite llevar a cabo la especificación de requisitos de DQ en BP y a partir de allí obtener diagramas de casos de uso UML (Object Management Group, 2007) relacionados con la calidad de datos.…”

Section: Introduciónunclassified

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Obteniendo Casos de Uso centrados en la Calidad de los Datos desde Procesos de Negocio descritos con BPMN

Rodríguez¹,

Caro²

2012

RISTI

Self Cite

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Resumen: La calidad de datos es considerada un aspecto importante en relación con el éxito o fracaso de las tareas cotidianas en una organización. Hoy en día, la mayoría de estas tareas se encuentran soportadas por aplicaciones de software. La especificación temprana de los requisitos que deben cumplir esas aplicaciones es un desafío para la ingeniería del software. En este trabajo se aborda la especificación temprana de requisitos de software, poniendo especial atención en la calidad de datos. Dichos requisitos serán capturados desde modelos de procesos de negocio descritos con BPMN (Business Process Model and Notation), y expresados mediante casos de uso de UML (Unified Model Language). Con este propósito se propone un método mediante el cual, de manera ordenada y sistemática, los expertos del negocio pueden modelar procesos de negocio consciente de la calidad de datos y obtener desde dichos modelos artefactos útiles para la creación de software. Palabras-claves:Calidad de Datos; Procesos de Negocio; Casos de Uso; BPMN; UML; Requisitos de Software.Abstract: Data quality is considered an important aspect for the success or failure of routine tasks in an organization. Nowadays, most of these tasks are supported by software applications. The early specification of the requirements for these applications is a challenge for software engineering. This paper focuses on early software requirements specification, paying special attention on data quality. These requirements will be captured from business process models described with BPMN (Business Process Model and Notation), and expressed through use cases of UML (Unified Model Language). For this purpose we propose a method whereby business experts can model business processes aware of data quality and software engineers can get artifacts useful for creating software.

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A BPMN Extension for Including Data Quality Requirements in Business Process Modeling

Cited by 31 publications

References 9 publications

Detecting, Assessing, and Mitigating Data Inaccuracy-Related Risks in Business Processes

Detecting, Assessing, and Mitigating Data Inaccuracy-Related Risks in Business Processes

Process-oriented approach to competency management using ontologies

Obteniendo Casos de Uso centrados en la Calidad de los Datos desde Procesos de Negocio descritos con BPMN

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