Using Data Mining and Recommender Systems to Facilitate Large-Scale, Open, and Inclusive Requirements Elicitation Processes-Reference-Cited by-同舟云学术

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Using Data Mining and Recommender Systems to Facilitate Large-Scale, Open, and Inclusive Requirements Elicitation Processes

Published:2008-09 Issue: Volume: Page:
ISSN:
Container-title:2008 16th IEEE International Requirements Engineering Conference
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Author:

Castro-Herrera Carlos,Duan Chuan,Cleland-Huang Jane,Mobasher Bamshad

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/4685635/4685636/04685665.pdf?arnumber=4685665

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Using Requirements Clustering to Discover Dependent Requirements for Hidden Impact Analysis;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2023

2. Comparative Analysis of Recommendation Systems based on Medical Data Sets;2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N);2022-12-16

3. Classifying User Requirements from Online Feedback in Small Dataset Environments using Deep Learning;2021 IEEE 29th International Requirements Engineering Conference (RE);2021-09

4. Identifying and Classifying User Requirements in Online Feedback via Crowdsourcing;Requirements Engineering: Foundation for Software Quality;2020

5. Mining Software Requirements;Advanced Information and Knowledge Processing;2020

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