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Method-Call Recommendations from Implicit Developer Feedback

Amann, Sven ; Proksch, Sebastian ; Mezini, Mira :
Method-Call Recommendations from Implicit Developer Feedback.
[Online-Edition: http://dx.doi.org/10.1145/2593728.2593730]
Proceedings of the 1st International Workshop on CrowdSourcing in Software Engineering - CSI-SE 2014
[Konferenz- oder Workshop-Beitrag], (2014)

Offizielle URL: http://dx.doi.org/10.1145/2593728.2593730

Kurzbeschreibung (Abstract)

When developers use the code completion in their Integrated Development Environment (IDE), they provide implicit feedback about the usage of the Application Programming Interfaces (APIs) they program against. We demonstrate how to apply Collaborative Filtering techniques to compute context-sensitive completion recommendations from such feedback and discuss how the approach can be used to bring the knowledge of the crowd to every developer.

Typ des Eintrags: Konferenz- oder Workshop-Beitrag (Keine Angabe)
Erschienen: 2014
Autor(en): Amann, Sven ; Proksch, Sebastian ; Mezini, Mira
Titel: Method-Call Recommendations from Implicit Developer Feedback
Sprache: Englisch
Kurzbeschreibung (Abstract):

When developers use the code completion in their Integrated Development Environment (IDE), they provide implicit feedback about the usage of the Application Programming Interfaces (APIs) they program against. We demonstrate how to apply Collaborative Filtering techniques to compute context-sensitive completion recommendations from such feedback and discuss how the approach can be used to bring the knowledge of the crowd to every developer.

Buchtitel: Proceedings of the 1st International Workshop on CrowdSourcing in Software Engineering - CSI-SE 2014
Freie Schlagworte: Code completion, collaborative filtering, crowd sourcing, integrated development environment, method-call recommendation
Fachbereich(e)/-gebiet(e): Fachbereich Informatik > Softwaretechnik
Fachbereich Informatik
Hinterlegungsdatum: 17 Jun 2014 13:48
Offizielle URL: http://dx.doi.org/10.1145/2593728.2593730
ID-Nummer: 10.1145/2593728.2593730
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