SoftRec: Multi-Relationship Fused Software Developer Recommendation
نویسندگان
چکیده
منابع مشابه
Towards Effective Developer Recommendation in Software Crowdsourcing
* corresponding author Abstract—Crowdsourcing has attracted increasing attention from both industry and academia since it was proposed. Now a lot of work is finished by crowdsourcing, such as logo design, website promotion, industrial design, copywriting, software development, translation and image annotation. Although software crowdsourcing achieves positive results in practice, we still face ...
متن کاملDeveloper Profiles for Recommendation Systems
Developer profiles are representations that capture the characteristics of a software developer, including software development knowledge, organizational information, and communication networks. In recommendation systems in software engineering, developer profiles can be used for personalizing recommendations and for recommending developers who can assist with a task. This chapter describes tec...
متن کاملCold-Start Developer Recommendation in Software Crowdsourcing: A Topic Sampling Approach
Recently, software crowdsourcing platforms, which provide paid tasks for developers, become attractive to both employers and developers. Developers expect to find tasks that match their interests and capabilities via crowdsourcing platforms, and thus recommender systems play important roles in these platforms. However, we still face several challenges when building a recommender system for a cr...
متن کاملUser Confidence-and the Software Developer
industry because each of these applications needs someone to develop and maintain them. Recently however, my friends and I have been inundated with spyware—applications that lurk in the background and capture everything from keystrokes to the URLs of Web sites I visit. While I’m obviously concerned about my personal information getting into others’ hands, I’m equally concerned about the effect ...
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ژورنال
عنوان ژورنال: Applied Sciences
سال: 2020
ISSN: 2076-3417
DOI: 10.3390/app10124333