Recommendation Systems in Requirements Discovery
作者： Negar Hariri , Carlos Castro-Herrera , Jane Cleland-Huang , Bamshad Mobasher
DOI: 10.1007/978-3-642-45135-5_17
关键词: Domain analysis 、 Feature (machine learning) 、 Variety (cybernetics) 、 Context (language use) 、 World Wide Web 、 Requirements engineering 、 Process (engineering) 、 Association rule learning 、 Recommender system 、 Engineering
摘要: Recommendation systems offer the opportunity for supporting and enhancing a wide variety of activities in requirements engineering. We discuss several potential uses. In particular we highlight role recommendation online forums that are used capturing discussing feature requests. The system is to mitigate problems introduced when face-to-face communication replaced with potentially high-volume discussions. this context, can be suggest relevant topics stakeholders conversely recommend expert each discussion topic. also explore use domain analysis process, where they sets features include new products.
springer.com
sci-hub.se 参考文章(55)
S. L. Lim, D. Damian, F. Ishikawa, A. Finkelstein, Using Web 2.0 for Stakeholder Analysis: StakeSource and Its Application in Ten Industrial Projects Managing Requirements Knowledge. pp. 221- 242 ,(2013) , 10.1007/978-3-642-34419-0_10
Annie T. T. Ying, Martin P. Robillard, Developer Profiles for Recommendation Systems Recommendation Systems in Software Engineering. pp. 199- 222 ,(2014) , 10.1007/978-3-642-45135-5_8
James Robertson, Suzanne Robertson, Mastering the requirements process ACM Press/Addison-Wesley Publishing Co.. ,(1999)
Paula Laurent, Jane Cleland-Huang, Lessons Learned from Open Source Projects for Facilitating Online Requirements Processes requirements engineering foundation for software quality. pp. 240- 255 ,(2009) , 10.1007/978-3-642-02050-6_21
Richard H. Thayer, Merlin Dorfman, Software Requirements Engineering IEEE. ,(2011) , 10.1109/9781118156674
John Noll, Requirements Acquisition in Open Source Development: Firefox 2.0 open source systems. pp. 69- 79 ,(2008) , 10.1007/978-0-387-09684-1_6
Hinrich Schütze, Christopher D. Manning, Prabhakar Raghavan, Introduction to Information Retrieval ,(2005)
William Frakes, Ruben Prieto‐Diaz, Christopher Fox, DARE: Domain analysis and reuse environment Annals of Software Engineering. ,vol. 5, pp. 125- 141 ,(1998) , 10.1023/A:1018972323770
Recommender Systems Handbook rsh. ,(2010) , 10.1007/978-0-387-85820-3
Inderjit S. Dhillon, Dharmendra S. Modha, Concept Decompositions for Large Sparse Text Data Using Clustering Machine Learning. ,vol. 42, pp. 143- 175 ,(2001) , 10.1023/A:1007612920971