e3d16a4ac12d4fae802574bc0018f3f0 |
Abstract |
3-year, full-time PhD studentship is available to work on the EPSRC-funded project
investigating Making Tacit Requirements Explicit (http://www.computing.open.ac.uk/research-degrees/studentships) |
e3d16a4ac12d4fae802574bc0018f3f0 |
Date |
2008-09-06T23:00:00.000Z |
e3d16a4ac12d4fae802574bc0018f3f0 |
link |
http://www.computing.open.ac.uk/8025700300414AE8/httpNews?readform&unid=E3D16A4AC12D4FAE802574BC0018F3F0 |
e3d16a4ac12d4fae802574bc0018f3f0 |
link |
httpNews?readform&unid=E3D16A4AC12D4FAE802574BC0018F3F0 |
e3d16a4ac12d4fae802574bc0018f3f0 |
topic |
natural language processing |
e3d16a4ac12d4fae802574bc0018f3f0 |
topic |
mier |
e3d16a4ac12d4fae802574bc0018f3f0 |
type |
Post |
e3d16a4ac12d4fae802574bc0018f3f0 |
Description |
3-year, full-time PhD studentship is available to work on the EPSRC-funded project
investigating Making Tacit Requirements Explicit (http://www.computing.open.ac.uk/research-degrees/studentships)<br/><br/><br
/>Tacit knowledge – ‘knowing more than we can tell’ – is knowledge that we know we
have but can’t articulate, or knowledge that we don’t know that we have but nevertheless
use. We rely on tacit knowledge to communicate effectively: we need not make every
assumption we hold explicit, allowing us to focus on the essence of what we wish to
communicate. Engineers concerned with the development of software and systems, however,
are taught to make their assumptions explicit, and indeed any kind of knowledge that
is not made explicit makes systems analysis more difficult and error prone.<br/><br/>This
problem is particularly acute during requirements engineering (RE) – when knowledge
about the problem world and stakeholder requirements is elicited, and precise specifications
of system structure and behaviour are developed. Requirements are often first communicated
in natural language (NL), and are often ambiguous, incomplete, and inevitably full
of undocumented assumptions and other omissions. Effective analysis of such requirements
needs to surface this tacit knowledge – automatically or semi-automatically where
possible – to document more precise requirements that can be relied upon by stakeholders
to communicate effectively.<br /><br/><br/>The work undertaken in this project aims
to mitigate the negative consequences of tacit knowledge by developing techniques
to discover its differential impact on the understanding and use of requirements artefacts.
This will enable the management of the effects of tacit knowledge, helping analysts
identify where knowledge needs to be made explicit and providing tools capable of
resolving at least some of the harmful effects. The results of our work will comprise
tools and techniques for: improving the management of requirements information through
automatic trace recovery; discovering the presence of tacit knowledge from the tracking
of presuppositions and unprovenanced requirements; and the detection of nocuous ambiguity
in requirements documents that imply potential for misinterpretation.<br /> |
e3d16a4ac12d4fae802574bc0018f3f0 |
Title |
PhD Studentship Available |
e3d16a4ac12d4fae802574bc0018f3f0 |
in dataset |
crc |