DocumentCode :
690500
Title :
Software Maintenance Expert Base Decision Support (SoXDeS) Framework
Author :
Kamaludeen, Rahma A. ; Cheah, Yu.-N. ; Sulaiman, Suziah
Author_Institution :
Sch. of Comput. Sci., Univ. Sains Malaysia, Minden, Malaysia
fYear :
2013
fDate :
23-24 Dec. 2013
Firstpage :
25
Lastpage :
30
Abstract :
Software maintenance is an ongoing process during the lifetime of an information system. Once it is on production the information system must evolve due to the operating environment changes, when new anomalies uncovered or when new user requirement arises. Prior to any software evolution, decision-making need to be undertaken by the organization´s IT decision makers whether to proceed with the evolution required, if yes on how to proceed with the required maintenance. However, the study on decision making in software maintenance is very limited, existing research focus mainly on project management. The uniqueness of this study relies on the ability of knowledge engineering method to capture the software maintenance knowledge of an information system that is inherent in the software expert´s mind, documentation and code. This uses the concept of expert system to record the knowledge of the information system in a knowledge base and inference logic to analyst the recorded knowledge. The analysis is carried out using heuristic and inference logic pre-programmed into the expert-based framework. This is crucial especially to assist IT decision makers in determining whether it is possible to incorporate an additional requirement into a running system within an acceptable timeframe without the presence of a software expert in question. The framework is tested by proof of concept with a real life application of an organization.
Keywords :
decision support systems; expert systems; information systems; software maintenance; SoXDeS framework; expert system; heuristic logic; inference logic; information system; knowledge base; knowledge engineering method; software maintenance expert base decision support; software maintenance knowledge; Decision making; Decision trees; Expert systems; Information systems; Maintenance engineering; Software maintenance; decision support; expert system; knowledge engineering; software maintenance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Science Applications and Technologies (ACSAT), 2013 International Conference on
Conference_Location :
Kuching
Type :
conf
DOI :
10.1109/ACSAT.2013.13
Filename :
6836542
Link To Document :
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