![]() ![]() An exploratory analysis of mobile development issues using stack overflow. ![]() In Proceedings of the International Conference on Program Comprehension, pages 83-94. How do api changes trigger stack overflow discussions? a study on the android sdk. The measurement of observer agreement for categorical data. Journal of Statistical Mechanics: Theory and Experiment, 2010(06):P06003, 2010. Extracting weights from edge directions to find communities in directed networks. Using and asking: Apis used in the android market and asked about in stackoverflow. Journal of Information Science, pages 570-583, 2015. Automatic mapping of user tags to wikipedia concepts: The case of a Q&A website-stackoverflow. Proceedings of the Researchers Colloquium on Databases and Information Systems, pages 10-14, 2013. Predict closed questions on stackoverflow. Business Intelligence: First European Summer School, chapter Graph Mining and Communities Detection, pages 117-138. Inter Journal, Complex Systems:1695, 2006. The igraph software package for complex network research. In Proceedings of the Conference on Online Social Networks, pages 201-212. ![]() Fit or unfit: analysis and prediction of 'closed questions' on stack overflow. In Proceedings of the International Conference on Program Comprehension, pages 94-103. Synonym suggestion for tags on stack overflow. In Proceedings of the International Conference on Software Maintenance and Evolution, pages 531-535. A manual categorization of android app development issues on stack overflow. Empirical Software Engineering, pages 1-36, 2012. What are developers talking about? an analysis of topics and trends in stack overflow. Semantic tagging and linking of software engineering social content. The European Physical Journal B-Condensed Matter and Complex Systems, 38(2):373-380, 2004. We also show how these tag communities can be used to derive trends of topics of Android-related questions on Stack Overflow. Our results show that we can cluster the Android tags to 2,481 meaningful tag communities. In addition, we evaluate our approach qualitatively through a manual inspection and comparison of a random sample of tag communities. We apply our approach to the tags obtained from Android-related Stack Overflow posts and evaluate the resulting tag communities quantitatively with various community metrics. We represent our synonyms as directed, weighted graphs, and investigate several graph community detection algorithms to build meaningful groups of tags, also called tag communities. In this work, we continue this line of research and present an approach to group tag synonyms to meaningful topics. In our previous research, we used those synonym pairs to derive a number of strategies to create tag synonyms automatically. The Stack Overflow community provides tag synonyms to reduce the number of tags that have the same or similar meaning. On Stack Overflow, more than 38,000 diverse tags are used to classify posts. ![]()
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