Service Functioning Mode in Variability Model

Rudzajs, Peteris; Kirikova, Mārīte

doi:10.1007/978-3-319-07869-4_11

Cited by 1 publication

(3 citation statements)

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“…Different aspects of this model are described in detail in [8], [10], [11], [14], [16], and [17]. The variability aspects of a system's functional structure and its behavior initially were discussed in [18]- [22].…”

Section: Figure 2 Gedumon Componentsmentioning

confidence: 99%

“…For the representation of variability in the edu d/o information monitoring service system, the extension of a feature model was proposed that enables the showing of abstract services, namely, service groups (i.e., variation points) and corresponding to those services (i.e., variants), as well as the concrete services or implementation variants of abstract services, which are characterized by automation levels. The developed feature model is described in detail in [21] and [22].…”

Section: Functional Structure Variability Modelmentioning

confidence: 99%

“…Separate details of this research have been already gradually published in [8] and [10]- [22] along with the more than five years long concept and software development process. This article gives a holistic view on the research work done and adds the experience of the use of the monitoring services after putting them into the operation.…”

Section: Introductionmentioning

confidence: 99%

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Monitoring Services to Support Continuous Curriculum Engineering

Rudzajs

Kirikova

2021

CSIMQ

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Continuous and rapid developments in science and technology have raised a challenge for compliance between the learning content provided by study programs and (1) the actual state of art in the domains the programs are addressing and (2) the actual needs of companies that will employ the graduates of these programs. To achieve such compliance continuously, the digitalization of learning content (curriculum) engineering could provide supporting tools that facilitate awareness of incompliance, which is the first step in introducing changes in the learning content. In this article we discuss how such awareness, regarding the needs of companies, can be supported by a service system that monitors the gap between educational demand and offer. The proposed service system provides possibilities for automatic, semi-automatic and manual analysis of texts representing the educational demand, versus the texts representing the educational offer. The implementation of the service system has been demonstrated, having been applied at university. The experiments showed that the system can provide valuable information for educational content development, but its maintenance and incorporation in study process management and curriculum engineering still require additional research.

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