Advanced C++ programming styles and idioms
Advanced C++ programming styles and idioms
Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
Smalltalk: best practice patterns
Smalltalk: best practice patterns
Rascal: A Recommender Agent for Agile Reuse
Artificial Intelligence Review
MAPO: mining API usages from open source repositories
Proceedings of the 2006 international workshop on Mining software repositories
Questions programmers ask during software evolution tasks
Proceedings of the 14th ACM SIGSOFT international symposium on Foundations of software engineering
FrUiT: IDE support for framework understanding
eclipse '06 Proceedings of the 2006 OOPSLA workshop on eclipse technology eXchange
Approximate Structural Context Matching: An Approach to Recommend Relevant Examples
IEEE Transactions on Software Engineering
Learning from examples to improve code completion systems
Proceedings of the the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
Proposing software design recommendations based on component interface intersecting
Proceedings of the 2nd International Workshop on Recommendation Systems for Software Engineering
Mining Source Code for Structural Regularities
WCRE '10 Proceedings of the 2010 17th Working Conference on Reverse Engineering
RESYGEN: A Recommendation System Generator using domain-based heuristics
Expert Systems with Applications: An International Journal
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When evolving software systems, developers spend a considerable amount of time understanding existing source code. To successfully implement new or alter existing behavior, developers need to answer questions such as: "Which types and methods can I use to solve this task?" or "Should my implementation follow particular naming or structural conventions?". In this paper we present Mendel, a source code recommendation tool that aids developers in answering such questions. Based on the entity the developer currently browses, the tool employs a genetics-inspired metaphor to analyze source-code entities related to the current working context and provides its user with a number of recommended properties (naming conventions, used types, invoked messages, etc.) that the source code entity currently being worked on should exhibit. An initial validation of Mendel seems to confirm the potential of our approach.