The use of software product lines for business process management: A systematic literature review

Rocha, Roberto dos Santos; Fantinato, Marcelo

doi:10.1016/j.infsof.2013.02.007

Cited by 41 publications

(18 citation statements)

References 35 publications

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“…In a broader sense, the study contributes to the body of research knowledge in the fields of business process management [24,31] and automated software engineering [13]. While the proposed research can be connected with the field of requirement engineering [35], the questions and method adopted generates results and findings that are more applicable for AHP practitioners to aid practical use of different kinds of preferences in different scenarios.…”

Section: Discussionmentioning

confidence: 97%

“…While there has been much research in business process community focused on BPM analysis [24,31], there has been comparatively less work examining stakeholders' preferences and BPMF configuration problems. However, the need for recommendation systems and reasoning in the presence of variability and uncertainty in the software product engineering is recently identified as research challenge, only recently starting to receive an attention [21,24]. There are numerous approaches in the research literature aimed at eliciting stakeholders' preferences, applied in different domains (e.g.…”

Section: Approaches For Preferences Modelling and Optimization Of Busmentioning

confidence: 99%

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Multi-Criteria Decision Making for Optimal Configuration of Business Process Model Families

Šendelj

Ognjanović

2018

ITC

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Business process model families (BPMF) provide collective representation of business processes that can be defined for a target domain of interest. They enable rapid development of appropriate business processes by setting up quick BPMF configuration based on the stakeholders' needs and preferences. In this paper, we propose a novel framework for user-centric quality-driven configuration of business process model families capturing different kinds of non-functional preferences and solving the optimal BPMFs configuration problem. Focusing on the following key elements: Analytic Hierarchy Process (AHP), and its extension known as CS-AHP, Fuzzy logic and Genetic Algorithms, the framework maximizes the degree of satisfaction of defined non-functional preferences while simultaneously preserving the behavioural correctness of each derived business process. Furthermore, we provide extensive analyses of the proposed framework from three different perspectives: accuracy assessment, analysis of the impact of different variability and uncertainty elements, and comparison with the published literature indicating that the proposed approach outperforms similar ones in the field.

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Section: Discussionmentioning

confidence: 97%

Section: Approaches For Preferences Modelling and Optimization Of Busmentioning

confidence: 99%

Multi-Criteria Decision Making for Optimal Configuration of Business Process Model Families

Šendelj

Ognjanović

2018

ITC

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“…Business process management supports the life cycle of business processes through the participation of the various parties that cooperate with each other in order to attain common business objectives. These activities include the definition, execution, follow‐up, control, and analysis of business processes, in addition to their improvement . Although BPM is a well‐defined and accepted concept, this is not the case with Green BPM, and it is possible to find various definitions of and approximations to this concept: Green BPM describes a new technology that extends BPM (the design, analysis, execution, and monitoring processes) in order to take into account the impact of the carbon footprint …”

Section: Bpm and Green Bpmmentioning

confidence: 99%

Approaching Green BPM characterisation

González

Calero

Parra

et al. 2018

J Software Evolu Process

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Sustainable development is a type of development that meets the needs of the present without compromising the ability of future generations to meet their own needs. Sustainability has recently become more and more important for businesses. This has led to what is known as Green BPM (Green business process management), in which sustainability is considered to be a business objective. The objective of this work was to carry out a systematic literature review in order to evaluate how the subject of Green BPM has evolved and how the term “Green BPM” has been conceptualised so as to propose a new definition compiled from those previously formulated; identify the impact of the incorporation of Green aspects into the BPM life cycle stages; and discover the impact of Green BPM research efforts by means of the PDCA (plan‐do‐check‐act) model, thus identifying (1) the goals that have been proposed when Green initiatives are carried out in BPM, (2) the context in which this has been applied, and (3) the performance indicators considered. Finally, we propose a new characteristic, Process Greenability, together with its subcharacteristics, in addition to identifying the relationship between these subcharacteristics and the indicators identified to make them measurable.

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“…Furthermore, Santos et al [dos Santos Rocha & Fantinato, 2013] conduct an systematic review on how software product lines (SPL) techniques have been applied to business process management. For this purpose, the authors analyze coarse-grained aspects of SPL techniques for business processes such as domain and application engineering, SPL architectures, variability management, and feature modeling.…”

Section: Comparison With Other Characterizationsmentioning

confidence: 99%

“…We attempt to provide detailed insights into the modeling of process variability as well as into the way process variants can be configured, enacted, evolved, and maintained, no matter what the used techniques are. On the contrary, [dos Santos Rocha & Fantinato, 2013] only considers process variability approaches related to SPL techniques (e.g., use of feature models to represent process variability), neglecting other methods for dealing with process variability (e.g., annotated configurable process models [Schnieders & Puhlmann, 2007]). …”

Section: Comparison With Other Characterizationsmentioning

confidence: 99%

Enhancing Variability Modeling in Process-Aware Information Systems through Change Patterns

Esteras¹

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The use of software product lines for business process management: A systematic literature review

Cited by 41 publications

References 35 publications

Multi-Criteria Decision Making for Optimal Configuration of Business Process Model Families

Multi-Criteria Decision Making for Optimal Configuration of Business Process Model Families

Approaching Green BPM characterisation

Enhancing Variability Modeling in Process-Aware Information Systems through Change Patterns

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