DocumentCode :
2974777
Title :
Effective usage of AI technique for requirement change management practices
Author :
Naz, Humera ; Hafeez Motla, Yasir ; Asghar, S. ; Abbas, Mir Aamir ; Khatoon, A.
Author_Institution :
Univ. Inst. of Inf. Technol., Arid Agric. Univ., Rawalpindi, Pakistan
fYear :
2013
fDate :
27-28 March 2013
Firstpage :
121
Lastpage :
125
Abstract :
Requirements change management is a vital activity of the software development and even after maintenance. When we change one requirement it effects the other requirements of the system. A proper impact analysis maintains a repository of changing requirement, reusing previous experiences and reduces rework effort, is also essential for better requirement change management. There is also a need of a technique which improves requirement change management in a better way. In this paper, a model has been introduced which integrates Requirement Change Management and CBR (Case Based Reasoning) technique. Expert review method is used to evaluate our research. This frame work gives a better approach which manages requirement changes to the system. Our research outcome, i.e. the CBR technique used with the RCM, can provide a better approach to solve the issues of managing changes to the system. It maintains a repository by using CBR technique which is helpful to manage changes in future and we are able to solve the new change on the basis of previous experience.
Keywords :
case-based reasoning; software engineering; AI technique; CBR technique; artificial intelligence; case-based reasoning technique; expert review method; impact analysis; requirements change management practice; software development; software maintenance; Artificial intelligence; Cognition; Conferences; Information technology; Organizations; Software; Unified modeling language; Artificial Intelligence; Case Based Reasoning; Need based requirement management; Requirement Change Management; Requirement Management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology (CSIT), 2013 5th International Conference on
Conference_Location :
Amman
Type :
conf
DOI :
10.1109/CSIT.2013.6588769
Filename :
6588769
Link To Document :
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