Managing Evolution in Software-Engineering Knowledge Management Systems

Knowledge is not static chunks of information, but dynamic in the sense that its value or relevance evolves based on continuously changing context. Traditional approaches in knowledge management systems rely on accumulating as much knowledge units as possible. However, less attention is paid to the evolution of captured knowledge while any change in the context of captured knowledge has to be reflected in the form of its relevance. This paper puts forth a framework for knowledge lifecycle and activation model to cater for the dynamic assessment of captured knowledge. This is maintained through the continuous knowledge assessment carried out collaboratively by respective knowledge workers.