Adversarial Attacks to API Recommender Systems: Time to Wake Up and Smell the Coffeeƒ

Autor: Phuong T. Nguyen, Claudio Di Sipio, Juri Di Rocco, Massimiliano Di Penta, Davide Di Ruscio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3e06400e726b0befe4ff609f16b9751
http://hdl.handle.net/11697/183460

FOCUS: A Recommender System for Mining API Function Calls and Usage Patterns

Autor: Phuong T. Nguyen, Thomas Degueule, Davide Di Ruscio, Massimiliano Di Penta, Juri Di Rocco, Lina Ochoa

Publikováno v: ICSE
2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE)
41st ACM/IEEE International Conference on Software Engineering (ICSE)
41st ACM/IEEE International Conference on Software Engineering (ICSE), May 2019, Montréal, Canada

International audience; Software developers interact with APIs on a daily basis and, therefore, often face the need to learn how to use new APIs suitable for their purposes. Previous work has shown that recommending usage patterns to developers facil

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f609a08cc723654bd4d324666e1c22e
https://doi.org/10.1109/icse.2019.00109

Concurrency Analysis and Mining Techniques for APIs

Autor: Santhiar, Anirudh

Software components expose Application Programming Interfaces (APIs) as a means to access their functionality, and facilitate reuse. Developers use APIs supplied by programming languages to access the core data structures and algorithms that are part

Externí odkaz: http://etd.iisc.ernet.in/2005/3692
http://etd.iisc.ernet.in/abstracts/4562/G28522-Abs.pdf

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