The Journal of Machine Learning Research
Fast collapsed gibbs sampling for latent dirichlet allocation
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
A theory of aspects as latent topics
Proceedings of the 23rd ACM SIGPLAN conference on Object-oriented programming systems languages and applications
How do programmers ask and answer questions on the web? (NIER track)
Proceedings of the 33rd International Conference on Software Engineering
Proceedings of the 34th International Conference on Software Engineering
Understanding Android Fragmentation with Topic Analysis of Vendor-Specific Bugs
WCRE '12 Proceedings of the 2012 19th Working Conference on Reverse Engineering
Fit or unfit: analysis and prediction of 'closed questions' on stack overflow
Proceedings of the first ACM conference on Online social networks
Chaff from the wheat: characterization and modeling of deleted questions on stack overflow
Proceedings of the 23rd international conference on World wide web
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Question & answer (Q&A) websites, such as Stack Overflow (SO), are widely used by developers to find and provide answers to technical issues and concerns in software development. Mobile development is not an exception to the rule. In the latest SO dump, more than 400K questions were labeled with tags related to mobile technologies. Although, previous works have analyzed the main topics and trends in SO threads, there are no studies devoted specifically to mobile development. In this paper we used topic modeling techniques to extract hot-topics from mobile-development related questions. Our findings suggest that most of the questions include topics related to general questions and compatibility issues, and the most specific topics, such as crash reports and database connection, are present in a reduced set of questions.