Journal of Intelligent Information Systems
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Improving Requirements Tracing via Information Retrieval
RE '03 Proceedings of the 11th IEEE International Conference on Requirements Engineering
Toward improved traceability of non-functional requirements
TEFSE '05 Proceedings of the 3rd international workshop on Traceability in emerging forms of software engineering
Validating Requirements Engineering Process Improvements - A Case Study
REV '06 Proceedings of the 1st international workshop on Requirements Engineering Visualization
Research of Information Filtering Based on Vector Space Model
IWCSE '09 Proceedings of the 2009 Second International Workshop on Computer Science and Engineering - Volume 01
A Gap Analysis Methodology for the Team Software Process
QUATIC '10 Proceedings of the 2010 Seventh International Conference on the Quality of Information and Communications Technology
CAiSE'11 Proceedings of the 23rd international conference on Advanced information systems engineering
Requirements Traceability for Object Oriented Systems by Partitioning Source Code
WCRE '11 Proceedings of the 2011 18th Working Conference on Reverse Engineering
An Augmented Vector Space Information Retrieval for Recovering Requirements Traceability
ICDMW '11 Proceedings of the 2011 IEEE 11th International Conference on Data Mining Workshops
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Requirements Traceability RT is an indispensable activity to chronologically interrelate the uniquely identifiable requirements that help the developers to discover the origin of each requirement. The manual and traditional RT methods are prone to errors and overlook the concerns of analysts in retrieving the requirements. As the requirements are vague, uncertain and subjective in nature, this work combines the theory of fuzzy sets with the traditional Vector Model VM approach in modelling the vagueness, haziness and non-specificity associated with the requirements and hence facilitates tracing the requirements up to a desired degree of relevance. A number of performance measures, viz. recall, precision, F-measure, fall-outs and miss, are employed to examine the efficiency of the approach in retrieving the requirements. In addition, the proposed methodology also proposes validation metrics, viz. completeness, correctness and consistency, that result in a comprehensive, complete and consistent Software Requirements Specification SRS. The proposed approach, in this work, is exemplified in the context of a Multi-Agent System.