Design reuse and frameworks in the smalltalk-80 system
Software reusability
IEEE Software
Practices of Software Maintenance
ICSM '98 Proceedings of the International Conference on Software Maintenance
Jungloid mining: helping to navigate the API jungle
Proceedings of the 2005 ACM SIGPLAN conference on Programming language design and implementation
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
Enabling static analysis for partial java programs
Proceedings of the 23rd ACM SIGPLAN conference on Object-oriented programming systems languages and applications
Measuring API documentation on the web
Proceedings of the 2nd International Workshop on Web 2.0 for Software Engineering
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Stack Overflow contains a large number of high quality source code snippets. The quality of these snippets has been verified by users marking them as solving a specific problem. Stack Overflow treats source code snippets as plain text and searches surface snippets as they would any other text. Unfortunately, plain text does not capture the structural qualities of these snippets; for example, snippets frequently refer to specific API (e.g., Android), but by treating the snippets as text, linkage to the Android API is not always apparent. We perform snippet analysis to extract structural information from short plain-text snippets that are often found in Stack Overflow. This analysis is able to identify 253,137 method calls and type references from 21,250 Stack Overflow code snippets. We show how identifying these structural relationships from snippets could perform better than lexical search over code blocks in practice.