Automatic concept classification of text from electronic meetings
Communications of the ACM
Managing software requirements: a unified approach
Managing software requirements: a unified approach
Learning to construct knowledge bases from the World Wide Web
Artificial Intelligence - Special issue on Intelligent internet systems
An Evaluation of Statistical Approaches to Text Categorization
Information Retrieval
Information Retrieval
Viewpoints: principles, problems and a practical approach to requirements engineering
Annals of Software Engineering
IEEE Software
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Attribute-Based Architecture Styles
WICSA1 Proceedings of the TC2 First Working IFIP Conference on Software Architecture (WICSA1)
Requirements Engineering, Expectations Management, and the Two Cultures
RE '99 Proceedings of the 4th IEEE International Symposium on Requirements Engineering
Application of Linguistic Techniques for Use Case Analysis
RE '02 Proceedings of the 10th Anniversary IEEE Joint International Conference on Requirements Engineering
RE '02 Proceedings of the 10th Anniversary IEEE Joint International Conference on Requirements Engineering
Computer-Assisted Analysis and Refinement of Informal Software Requirements Documents
APSEC '98 Proceedings of the Fifth Asia Pacific Software Engineering Conference
Software Requirements
Gathering requirements from remote users
ICTAI '97 Proceedings of the 9th International Conference on Tools with Artificial Intelligence
Using unlabeled data to improve text classification
Using unlabeled data to improve text classification
Similarity-based word sense disambiguation
Computational Linguistics - Special issue on word sense disambiguation
Improving text categorization using the importance of sentences
Information Processing and Management: an International Journal
Using the feature projection technique based on a normalized voting method for text classification
Information Processing and Management: an International Journal
Integrated Requirements Engineering: A Tutorial
IEEE Software
Proceedings of the 2006 international workshop on Global software development for the practitioner
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
A strategy-based process for effectively determining system requirements in eCRM development
Information and Software Technology
Information and Software Technology
Ubiquitous Healthcare Service System with Context-awareness Capability: Design and Implementation
Expert Systems with Applications: An International Journal
A clustering-based approach for discovering flaws in requirements specifications
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Mining textual requirements to assist architectural software design: a state of the art review
Artificial Intelligence Review
Expert Systems with Applications: An International Journal
REFSQ'13 Proceedings of the 19th international conference on Requirements Engineering: Foundation for Software Quality
Hi-index | 0.00 |
In order to efficiently develop large-scale and complicated software, it is important for system engineers to correctly understand users' requirements. Most requirements in large-scale projects are collected from various stakeholders located in various regions, and they are generally written in natural language. Therefore, the initial collected requirements must be classified into various topics prior to analysis phases in order to be usable as input in several requirements analysis methods. If this classification process is manually done by analysts, it becomes a time-consuming task. To solve this problem, we propose a new bootstrapping method which can automatically classify requirements sentences into each topic category using only topic words as the representative of the analysts' views. The proposed method is verified through experiments using two requirements data sets: one written in English and the other in Korean. The significant performances were achieved in the experiments: the 84.28 and 87.91 F1 scores for the English and Korean data sets, respectively. As a result, the proposed method can provide an effective function for an Internet-based requirements analysis-supporting system so as to efficiently gather and analyze requirements from various and distributed stakeholders by using the Internet.