Petrevska Nechkoska, Renata and Poels, Geert and Manceski, Gjorgji (2018) Towards Improving Adaptability of Capability Driven Development Methodology in Complex Environment. Lecture Notes in Business Information Processing, CAiSE 2018 (ASDENCA), LNBIP 316, pp. 15-27.
Full text not available from this repository.Abstract
We are triggered to incorporate adaptability in information system designs and methodologies corresponding to complex and unpredictable environment of today and tomorrow and to complex adaptive systems they are aimed for. Adaptability as non-functional requirement is being portrayed and investigated from broad multidisciplinary perspective that influences how dynamic business-IT alignment can be accomplished. Capability Driven Development methodology has supported delivering dynamic capabilities by providing context-aware self-adaptive platform in the CaaS project implementations, as our case study. Along with the already incorporated mechanisms, components that enable adaptability, there is open space for further evolutionary and deliberate change towards becoming truly appropriate methodology for dynamic reconfigurations of capabilities in organizations and business ecosystems that operate in complexity and uncertainty. The analysis and evaluation of adaptability of the CDD methodology through three dimensions (complexity of the external and internal environment, managerial profiling and artifact-integrated components) in this paper conclude with instigation of starting points towards achieving higher adaptability for complexity of the CDD methodology.
| Item Type: | Article |
|---|---|
| Subjects: | Scientific Fields (Frascati) > Natural sciences > Computer and information sciences Scientific Fields (Frascati) > Social Sciences > Economics and Business Scientific Fields (Frascati) > Engineering and Technology > Electrical engineering, electronic engineering,information engineering |
| Divisions: | Faculty of Economics |
| Depositing User: | Mr Dimitar Risteski |
| Date Deposited: | 15 Sep 2022 10:19 |
| Last Modified: | 15 Sep 2022 10:19 |
| URI: | https://eprints.uklo.edu.mk/id/eprint/7027 |
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