POPL '02 Proceedings of the 29th ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Clustering by pattern similarity in large data sets
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Mining All Non-derivable Frequent Itemsets
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Sequential PAttern mining using a bitmap representation
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
BIDE: Efficient Mining of Frequent Closed Sequences
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Using structural context to recommend source code examples
Proceedings of the 27th international conference on Software engineering
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Frequent pattern mining: current status and future directions
Data Mining and Knowledge Discovery
Mining API patterns as partial orders from source code: from usage scenarios to specifications
Proceedings of the the 6th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
Detecting object usage anomalies
Proceedings of the the 6th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
Parseweb: a programmer assistant for reusing open source code on the web
Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering
Introduction to Information Retrieval
Introduction to Information Retrieval
MAPO: Mining and Recommending API Usage Patterns
Genoa Proceedings of the 23rd European Conference on ECOOP 2009 --- Object-Oriented Programming
What Makes APIs Hard to Learn? Answers from Developers
IEEE Software
Portfolio: finding relevant functions and their usage
Proceedings of the 33rd International Conference on Software Engineering
A field study of API learning obstacles
Empirical Software Engineering
Graph-based pattern-oriented, context-sensitive source code completion
Proceedings of the 34th International Conference on Software Engineering
Synthesizing API usage examples
Proceedings of the 34th International Conference on Software Engineering
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During software development, a developer often needs to discover specific usage patterns of Application Programming Interface (API) methods. However, these usage patterns are often not well documented. To help developers to get such usage patterns, there are approaches proposed to mine client code of the API methods. However, they lack metrics to measure the quality of the mined usage patterns, and the API usage patterns mined by the existing approaches tend to be many and redundant, posing significant barriers for being practical adoption. To address these issues, in this paper, we propose two quality metrics (succinctness and coverage) for mined usage patterns, and further propose a novel approach called Usage Pattern Miner (UP-Miner) that mines succinct and high-coverage usage patterns of API methods from source code. We have evaluated our approach on a large-scale Microsoft codebase. The results show that our approach is effective and outperforms an existing representative approach MAPO. The user studies conducted with Microsoft developers confirm the usefulness of the proposed approach in practice.