subject predicate object context
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