Mapping Knowledge into Software Process

Kerzazi, Noureddine; Lavallee, Mathieu; Robillard, Pierre N.

doi:10.1109/iccgi.2010.16

Cited by 1 publication

(1 citation statement)

References 11 publications

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“…Thus this section reviews the utilization of knowledge mapping by previous researchers in risk management and mitigation processes. Kerzazi and Robillard (2010) developed a new approach to software process modelling, which enables the mapping of knowledge required by the activity roles and stored into the activity input artifacts. In their approach the information is fed into a dashboard, which outlines any knowledge discrepancies within the software process model and enables process manager to manage risks associated to knowledge within a given task.…”

Section: Software Risk Mitigation and Knowledge Mappingmentioning

confidence: 99%

Knowledge Mapping Process Model for Risk Mitigation in Software Management

Anthony

Nor

et al. 2017

IJSECS

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As software organizations try to mitigate operational and technical risk that occurs when using software, there is need to develop a knowledge intensive system to assist team members in mitigating both operational and technical risk. Knowledge mapping in risk mitigation context is in its infancy and has the potential to address both operational and technical risk faced by software organizations. However, as the amount and depth of organizational knowledge increases, it poses some challenges to software organizations. The key challenges for knowledge intensive organizations are how to identify, assimilate, disseminate, and apply these risk knowledge; particularly between different team members in same software development project. Thus this paper proposes a knowledge mapping process model to assist in mitigating risk (operational and technical) that occurs in software organizations. Knowledge mapping is the field within Knowledge Management (KM) that aims to optimize the efficient and effective use of the organization's knowledge. The mapping process model can support software management teams in measuring and treating risk, thus aiding decision making in software management. Data was collected using semi-structured interview through case study. The interview transcripts were coded and categorized using Nvivo software.

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Section: Software Risk Mitigation and Knowledge Mappingmentioning

confidence: 99%