As the acquisition and sharing of knowledge form the backbone of the software development process, it is important to identify knowledge discrepancies between the process elements. Explicit representation of the knowledge components within a software process model can provide a means to expose these discrepancies. This paper presents an extension of the Software and System Process Engineering Metamodel (SPEM), to be used as a new knowledge modeling layer. The approach, which is based on ontologies for knowledge representation, constitutes an explicit method for representing knowledge within process models. A concept matching indicator shows the state of the process model in terms of the concept gaps for each task within the process. This indicator could lead to more informed decision making and better management of the associated risks, in terms of team competency, documentation quality, and the training required to mitigate them.
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Supporting the navigator in decision making processes may substantially contribute to the enhancement of the safety in sea transport. The navigational decision support system supplements the existing range of equipment and systems intended for sea-going ship conduct. One of the basic tasks of such systems is an analysis of a navigational situation and solving collision situations. A well functioning navigational decision support system should feature a decision-maker’s (navigator’s) knowledge representation. This refers to both explicit knowledge - procedural, declarative, heuristic, and tacit knowledge - empirical associations. The article presents assumptions of navigational knowledge base and its realization in the presently designed navigational decision support system.
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