| 1. |
- Berzisa, Solvita, et al.
(author)
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Capability Driven Development : An Approach to Designing Digital Enterprises
- 2015
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In: Business & Information Systems Engineering. - : Springer Science and Business Media LLC. - 2363-7005 .- 1867-0202. ; 57:1, s. 15-25
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Journal article (peer-reviewed)abstract
- The need for organizations to operate in changing environments is addressed by proposing an approach that integrates organizational development with information system (IS) development taking into account changes in the application context of the solution. This is referred to as Capability Driven Development (CDD). A meta-model representing business and IS designs consisting of goals, key performance indicators, capabilities, context and capability delivery patterns, is being proposed. The use of themeta-model is validated in three industrial case studies as part of an ongoing collaboration project, whereas one case is presented in the paper. Issues related to the use of the CDD approach, namely, CDD methodology and tool support are also discussed.
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| 2. |
- Bravos, George, et al.
(author)
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Deliverable 1.2 : Initial version of requirements specification for CDD
- 2013
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Reports (other academic/artistic)abstract
- The CaaS project will elaborate the Capability Driven Development (CDD) approach that will allow digital enterprises to exploit the notion of 'capability' as a means of both designing for services and with services. This deliverable defines an initial set of requirements for CDD. These requirements are provided by the industrial partners through exploration of their use cases. The goal of this deliverable is to identify potential benefits that the CaaS approach could bring to the use cases as well the features to be included the CDD methodology. The requirements are elicited from the use case partners during semi-structured interviews. They are documented in a form of goal models, actor models and concept models for each partner separately. Information documented in these models is used to define envisioned capabilities to be design and delivered during the project as well as to establish the scope of each use case. The use case scope definition focuses on use case goals, causes of capability delivery variability, capability delivery context, functions to be provided in the use case as well as potential capability delivery adjustments. The use case specific models are combined together to obtain a preliminary set of general requirements for CDD. These requirements show CDD goals, types of stakeholders, types of context and types of adjustments. The deliverable ends with concluding remarks about the partners’ expectations for CDD. The requirements for the use cases described in this deliverable will be further elaborated in the final requirements document deliverable D1.4 and will be iteratively refined during the use case elaboration performed in work packages WP2, WP3 and WP4.
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| 3. |
- Grabis, Jānis, et al.
(author)
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CaaS Deliverable 5.3 : The Final Version of Capability Driven Development Methodology
- 2016
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Reports (other academic/artistic)abstract
- The overall objective of the CaaS project is to create an integrated approach consisting of methods, tools and reusable best practices that allow digital enterprises to take advantage of changes in business context and technologies. This deliverable primarily contributes to CaaS Objective 1, namely, “to elaborate a methodology and supporting methods for Capability Driven Development (CDD) which is adopted by the industrial partners involved in the project and their customers”. To this end the deliverable presents the final version of the CDD methodology, which consists of a number of method components supporting different aspects of the CDD process. More specifically, methodology components addressing capability design, enterprise and business process modelling, context modelling, supporting reuse, as well as adjusting capability delivery at run-time have been developed. Furthermore, there is a method component supporting the decision making about whether or not CDD is suitable and how to get started. The methodology also includes method extensions for specific application domains, namely business process outsourcing, collaborative software development and project management office. The deliverable reflects the modular and incremental approach to methodology engineering and documentation in CaaS, which is manifested in the methodology components and extensions. The modularity allows for the users to focus only on those parts of the methodology that are needed for their work. The CDD methodology is described from three conceptual aspects – (1) The modelling languages in terms of concepts and notations used to represent the modelling product, i.e. the models and capability designs created. (2) The way of working, the procedures and tools used, in order to arrive at a capability design that fits organization’s needs, i.e. the modelling process. (3) The technical foundation and formal definition of algorithms for run-time adjustments of capabilities. The deliverable also includes extensive examples of capability design, context modelling and run-time adjustments. These examples are meant to support understanding and selection of the method components.
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| 4. |
- Kampars, Jānis, et al.
(author)
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Extending organizational capabilities with Open Data to support sustainable and dynamic business ecosystems
- 2020
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In: Software and Systems Modeling. - : Springer Science and Business Media LLC. - 1619-1366 .- 1619-1374. ; 19:2, s. 371-398
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Journal article (peer-reviewed)abstract
- Open Data (OD) is data available in a machine-readable format and without restrictions on the permissions for using or distributing it. OD may include textual artifacts, images, maps, video content, and other. The data can be published and maintained by different entities, both public and private. Despite its power to distribute knowledge freely and availability of a large number of datasets, OD initiatives face important challenges related to its widespread take up. More specifically, OD provisioning is based on a unidirectional linking from OD providers to OD users without considering requirements and preferences of the users. The OD users also lack metadata, and they need to develop specific technical solutions for providing a continuous OD flow and processing, which is particularly difficult when real-time OD are to be used. In this paper, we propose solving these challenges by envisioning a business ecosystem for OD. It is network-based, federated, and supports interplay between OD provisioning and knowledge management. As a methodological solution, we have applied the capability-driven development approach, which allows modeling of OD processing ecosystems, facilitates knowledge exchange about OD usage among members of the ecosystem, and supports configuring information systems for OD processing. The proposal is explicated with a theoretical study of its usability for the service of road maintenance in varying conditions.
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| 5. |
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| 6. |
- Bravos, George, et al.
(author)
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Supporting Evolving Organizations : IS Development Methodology Goals
- 2014
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In: Perspectives in Business Informatics Research. - Heidelberg : Springer. - 9783319113692 ; , s. 158-171
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Conference paper (peer-reviewed)abstract
- Organizations operate in increasingly dynamic and diverse environments. This leads to high variability within the organization, and the necessity to create context-aware information systems. As a part of these systems, context and business process metrics need to be monitored and acted upon. Capability Driven Development (CDD) addresses these challenges and integrates organizational development with IS (Information System) development. This paper integrates results from an industry survey and three industrial cases to define the key methodology goals for CDD.
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| 7. |
- Chan, Anouck, et al.
(author)
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Towards a New Method for Designing Manufacturing Capabilities
- 2024
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In: Digital Business and Intelligent Systems. - : Springer Nature. - 9783031635427 - 9783031635434 ; , s. 34-49
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Conference paper (peer-reviewed)abstract
- Many industries are experiencing the challenges and opportunities associated with the rapid pace of technological change. In manufacturing, the adoption of new materials and manufacturing processes is a common concern, for example, the use of new composite materials offer significant advantages in terms of energy efficiency and performance. However, their use poses challenges in terms of manufacturing and assembly. On the side of technological advances, the exploration of digitalisation, automation and robotics to improve efficiency is a strong trend. However, implementing these technologies requires investment and significant changes to existing assembly processes. To meet these challenges, fostering collaboration between design and manufacturing, as well as between manufacturer and its suppliers is often seen as the key solution for various industries. In this work, we present how capability modelling can help both parties to describe their demands and offers with respect to needed and provided quality properties such as set-up times or ecological footprint. These serve as input for a digital business ecosystem in which the pareto-optimal factory design can be chosen supported by a digital platform integrating the manufacturer and its suppliers.
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| 8. |
- España, Sergio, et al.
(author)
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Strategies for Capability Modelling : Analysis Based on Initial Experiences
- 2015
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In: Advanced Information Systems Engineering Workshops. - Cham : Springer. - 9783319192420 - 9783319192437 ; , s. 40-52
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Conference paper (peer-reviewed)abstract
- Competitiveness and growth on an international market is for many businesses tightly coupled to their ability of quickly implementing new company strategies, business services and products or market entries. Capability management is among the approaches proposed to tackle these challenges. A feature is capturing the context of capability delivery and providing mechanisms for configuring the delivery. Among the work on capability management is the capability-driven design and delivery (CDD) approach that has been proposed by the EU-FP7 project CaaS. The aim of this paper is to contribute to CDD by (i) introducing different strategies for capability modelling, (ii) elaborating on the differences between these strategies, and (iii) contributing to an understanding of what strategy should be used under what preconditions. The paper addresses these aspects by describing the strategies and initial experiences gathered with them.
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| 9. |
- Grabis, Jānis, et al.
(author)
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A Capability Based Method for Development of Resilient Digital Services
- 2021
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In: Enterprise Information Systems. - Cham : Springer. - 9783030754174 - 9783030754181 ; , s. 498-516
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Conference paper (peer-reviewed)abstract
- Capability Driven Development (CDD) is a capability-based method for developing context-aware and adaptive systems. This paper proposes to extend CDD to address security and resilience concerns in organizational networks. A method extension defining modeling concepts and development procedure is elaborated. It includes development of a data-driven digital twin, which represents the security and resilience concerns of the network and is used to diagnose security incidents and to formulate a resilient response to these incidents. Application of the proposed method extension is illustrated using examples of secure computer network governance and secure supplier onboarding.
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| 10. |
- Grabis, Janis, et al.
(author)
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A Capability-Based Method for Modeling Resilient Data Ecosystems
- 2022
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In: Domain-Specific Conceptual Modeling. - Cham : Springer. - 9783030935467 - 9783030935474 ; , s. 339-363
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Book chapter (peer-reviewed)abstract
- Modern information systems rely on data analytics and use various data sources to steer information processing and process execution activities. Capability-driven development is a method for the design and delivery of this kind of information systems. This chapter elaborates a method extension for capability-based modeling of data ecosystems for the purpose of ensuring their resilience. The ecosystem perspective is adopted because there is a need to understand the interactions among the various parties involved in capability delivery. The ecosystem model allows to analyze the impact on reliability and other properties of data providers on capability delivery resilience. The meta-model is elaborated together with a set of rules for analyzing the ecosystem model. The model is perceived as a property graph, and the network theory is used for the analysis. The ADOxx meta-modeling platform is used to implement the modeling tool, which is integrated with a graph database, where the model analysis is performed. The method and the tool are demonstrated using an example of a winter road maintenance ecosystem.
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