DocumentCode :
3577944
Title :
iRE: A semantic network based interactive requirements engineering framework
Author :
Ahmed, Kushal ; Lian Wen ; Sattar, Abdul
Author_Institution :
Inst. for Integrated & Intell. Syst., Griffith Univ., Nathan, QLD, Australia
fYear :
2014
Firstpage :
171
Lastpage :
177
Abstract :
Requirements engineering (RE) involves processing informal natural language descriptions of system requirements into an integrated and structured formal specification. The traditional RE process is ad-hoc, laborious, time-consuming, and error-prone manual process. For large-scale software intensive systems, the RE process becomes very difficult to manage. It is further complicated by ill-defined, incomplete, and redundantly specified requirements. To streamline the process, an end-to-end seamless RE framework is therefore needed. In this paper, we present an overview of an end-to-end semi-automated change-tolerant interactive requirements engineering (iRE) framework. It keeps and maintains the meta-level information of the interrelated requirements models into a semantic network model (SNM), and provides a method and processing system to derive an integrated and structured model. The iRE involves the requirements analysts in an interactive fashion during the modeling process.
Keywords :
formal specification; semantic networks; SNM; formal specification; iRE framework; informal natural language description processing; large-scale software intensive systems; meta-level information; semantic network model; semiautomated change-tolerant interactive requirements engineering framework; Analytical models; Detectors; Natural languages; Presses; Semantics; Synthetic aperture sonar; Unified modeling language; Behavior Engineering; Behavior Trees; Change Management; Defects Detection; Model Integration; Requirements Engineering; Semantic Network Model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Complex Systems (WCCS), 2014 Second World Conference on
Print_ISBN :
978-1-4799-4648-8
Type :
conf
DOI :
10.1109/ICoCS.2014.7060963
Filename :
7060963
Link To Document :
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