Please use this identifier to cite or link to this item:
|Title:||A concept-oriented belief revision approach to domain knowledge recovery from source code||Authors:||Chapin, N.
Domain knowledge recovery
|Issue Date:||2001||Citation:||Chapin, N., Hale, J.E., Khan, K.Md., Ramil, J.F., Tan, W.-G. (2001). A concept-oriented belief revision approach to domain knowledge recovery from source code. Journal of Software Maintenance and Evolution 13 (1) : 31-52. ScholarBank@NUS Repository. https://doi.org/10.1002/smr.221||Abstract:||Domain knowledge is the soul of software systems. After decades of software development, domain knowledge has reached a certain degree of saturation. The recovery of domain knowledge from source code is beneficial to many software engineering activities, in particular, software evolution. In the real world, the ambiguous appearance of domain knowledge embedded in source code constitutes the biggest barrier to recovering reliable domain knowledge. In this paper, we introduce an innovative approach to recovering domain knowledge with enhanced reliability from source code. In particular, we divide domain knowledge into interconnected knowledge slices and match these knowledge slices against the source code. Each knowledge slice has its own authenticity evaluation function which takes the belief of the evidence it needs as input and the authenticity of the knowledge slice as output. Moreover, the knowledge slices are arranged to exchange beliefs with each other through interconnections, i.e. concepts, so that a better evaluation of the authenticity of these knowledge slices can be obtained. The decision on acknowledging recovered knowledge slices can therefore be made more easily. Our approach, rooted as it is in cognitive science and social psychology, is also widely applicable to other knowledge recovery tasks. © 2001 John Wiley & Sons, Ltd.||Source Title:||Journal of Software Maintenance and Evolution||URI:||http://scholarbank.nus.edu.sg/handle/10635/114666||ISSN:||1532060X||DOI:||10.1002/smr.221|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on May 16, 2022
WEB OF SCIENCETM
checked on May 16, 2022
checked on May 12, 2022
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.