dc.contributor.advisor |
Perera I |
|
dc.contributor.author |
Chandrasinghe SL |
|
dc.date.accessioned |
2019 |
|
dc.date.available |
2019 |
|
dc.date.issued |
2019 |
|
dc.identifier.citation |
Chandrasinghe, S.L. (2019). Architectural design decision knowledge management system [Master’s theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.mrt.ac.lk/handle/123/16028 |
|
dc.identifier.uri |
http://dl.lib.mrt.ac.lk/handle/123/16028 |
|
dc.description.abstract |
The software systems typically fail and deviate from its prescriptive architecture due to various
reasons such as incorrect architectural design, lack of experience and lack of domain
knowledge. After precise software requirements are gathered from customers, those
requirements should be converted into an appropriate design. Suppose if any inappropriate
design is constructed from these requirements, it may cause to reconstruct the system
implementation. So, a set of good architectural design decisions form a good system
architecture and those architectural design decisions should be documented or stored as
knowledge bases to use further.
Various methodologies exist to store architectural design decisions and trace them. Most of
them have some drawbacks such as lack of time to gather and store and additional cost to
maintain such knowledge bases. As the key objective, this report proposes an ontological
knowledge management system to solve above mentioned problems in software engineering
industry for avoiding the extra costs to redevelop or refine the software system
implementation.
Though the implemented solution is ontology-based knowledge management system, it seems
to be a simple web application to the end user. User-friendly web interfaces are implemented
to store and retrieve the architectural design decisions, based on completed or already initiated
software projects. Those design decisions would be useful for the professionals who design
the effective software architecture designs.
Finally, empirical and Likert questionnaires were conducted to prove that the implemented
solution works perfectly as a solution for the stated problems and this report ends mentioning
some limitations and future work with relevant to ontological knowledge management systems
and its technologies. |
en_US |
dc.language.iso |
en |
en_US |
dc.subject |
COMPUTER SCIENCE AND ENGINEERING-Dissertations |
en_US |
dc.subject |
COMPUTER SCIENCE-Dissertations |
en_US |
dc.subject |
SOFTWARE SYSTEMS-Architectural Design |
en_US |
dc.subject |
SOFTWARE SYSTEMS-Knowledge Management |
en_US |
dc.subject |
ONTOLOGY |
en_US |
dc.title |
Architectural design decision knowledge management system |
en_US |
dc.type |
Thesis-Full-text |
en_US |
dc.identifier.faculty |
Engineering |
en_US |
dc.identifier.degree |
MSc in Computer Science and Engineering |
en_US |
dc.identifier.department |
Department of Computer Science & Engineering |
en_US |
dc.date.accept |
2019 |
|
dc.identifier.accno |
TH4006 |
en_US |