Supporting reuse by delivering task-relevant and personalized information
Proceedings of the 24th International Conference on Software Engineering
Ranking Significance of Software Components Based on Use Relations
IEEE Transactions on Software Engineering
Hipikat: A Project Memory for Software Development
IEEE Transactions on Software Engineering
XSnippet: mining For sample code
Proceedings of the 21st annual ACM SIGPLAN conference on Object-oriented programming systems, languages, and applications
Mica: A Web-Search Tool for Finding API Components and Examples
VLHCC '06 Proceedings of the Visual Languages and Human-Centric Computing
Do Code and Comments Co-Evolve? On the Relation between Source Code and Comment Changes
WCRE '07 Proceedings of the 14th Working Conference on Reverse Engineering
Asking and Answering Questions during a Programming Change Task
IEEE Transactions on Software Engineering
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
MSR '09 Proceedings of the 2009 6th IEEE International Working Conference on Mining Software Repositories
Pragmatic software reuse
Developers ask reachability questions
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 1
Portfolio: finding relevant functions and their usage
Proceedings of the 33rd International Conference on Software Engineering
Topology analysis of software dependencies
ACM Transactions on Software Engineering and Methodology (TOSEM)
Systematically selecting a software module during opportunistic reuse
Proceedings of the 2013 International Conference on Software Engineering
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Source code search engines locate and display fragments of code relevant to user queries. These fragments are often isolated and detached from one another. Programmers need to see how source code interacts in order to understand the concepts implemented in that code, however. In this paper, we present Portfolio, a source code search engine that retrieves and visualizes relevant functions as chains of function invocations. We evaluated Portfolio against Google Code Search and Koders in a case study with 49 professional programmers. Portfolio outperforms both of these engines in terms of relevance and visualization of the returned results.