A recommender system for requirements elicitation in large-scale software projects
Authors:
Open Access
- 8 March 2009
- conference paper
- Published by Association for Computing Machinery (ACM)
- p. 1419-1426
Abstract
No abstract availableKeywords
Funding Information
- National Science Foundation (CCR-0306303CCR-0447594IIS-0430303)
- Division of Information and Intelligent Systems (CCR-0306303CCR-0447594IIS-0430303)
This publication has 8 references indexed in Scilit:
- Using Data Mining and Recommender Systems to Facilitate Large-Scale, Open, and Inclusive Requirements Elicitation Processes2008
- Using data mining and recommender systems to scale up the requirements process2008
- Effectiveness of Requirements Elicitation Techniques: Empirical Results Derived from a Systematic Review2006
- Evaluation of hierarchical clustering algorithms for document datasets2002
- 10.1162/153244303321897735Applied Physics Letters, 2000
- Data clusteringACM Computing Surveys, 1999
- An algorithmic framework for performing collaborative filtering1999
- Concepts and effectiveness of the cover-coefficient-based clustering methodology for text databasesACM Transactions on Database Systems, 1990