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The following technical papers and journal articles describing the project technologies have been prepared and presented at various conferences by the project partners. Click on any of the papers to download.

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• A deep semantic search method for random tweets

• A double-edged sword? Software reuse and potential security vulnerabilities

• Analysis and Prediction of Dyads on Twitter

• Application of Computational Linguistics Techniques for Improving Software Quality

• Crossflow: A Framework for Distributed Mining of Software Repositories

• Detection of spam-posting accounts on Twitter

• Evolution of the Unix System Architecture: An Exploratory Case Study

• FOCUS: A Recommender System for Mining API Function Calls and Usage Patterns

• Integrating and deploying heterogeneous components by means of a microservices architecture in the CROSSMINER project

• Lexical Analysis of Automated Accounts on Twitter

• Semantic source code models using identifier embeddings

• Simmelian ties on Twitter: Empirical analysis and prediction

• Software clusterings with vector semantics and the call graph

• Static analysis for asynchronous JavaScript programs

• The Effect of Engagement Intensity and Lexical Richness in Identifying Bot Accounts on Twitter

• Towards Optimisation of Model Queries: A Parallel Execution Approach

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Technical Papers and Journal Articles