Biblio
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2018. Expert Recommendation Based on Collaborative Filtering in Subject Research. Proceedings of the 2018 International Conference on Information Science and System. :291–298.
This article implements a method for expert recommendation based on collaborative filtering. The recommendation model extracts potential evaluation experts from historical data, figures out the relevance between past subjects and current subjects, obtains the evaluation experience index and personal ability index of experts, calculates the relevance of research direction between experts and subjects and finally recommends the most proper experts.
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2016. Security Expert Recommender in Software Engineering. Proceedings of the 38th International Conference on Software Engineering Companion. :719–721.
Software engineering is a complex filed with diverse specialties. By the growth of Internet based applications, information security plays an important role in software development process. Finding expert software engineers who have expertise in information security requires too much effort. Stack Overflow is the largest social Q&A Website in the field of software engineering. Stack Overflow contains developers' posts and answers in different software engineering areas including information security. Security related posts are asked in conjunction with various technologies, programming languages, tools and frameworks. In this paper, the content and metadata of Stack Overflow is analysed to find experts in diverse software engineering security related concepts using information security ontology.