- author = "Mohamed Aymen Saied and Houari Sahraoui and Edouard Batot and Michalis Famelis and Pierre-Olivier Talbot",
- title = "Towards the automated recovery of complex temporal {API-usage} patterns",
- booktitle = "GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference",
- year = "2018",
- editor = "Hernan Aguirre and Keiki Takadama and Hisashi Handa and Arnaud Liefooghe and Tomohiro Yoshikawa and Andrew M. Sutton and Satoshi Ono and Francisco Chicano and Shinichi Shirakawa and Zdenek Vasicek and Roderich Gross and Andries Engelbrecht and Emma Hart and Sebastian Risi and Ekart Aniko and Julian Togelius and Sebastien Verel and Christian Blum and Will Browne and Yusuke Nojima and Tea Tusar and Qingfu Zhang and Nikolaus Hansen and Jose Antonio Lozano and Dirk Thierens and Tian-Li Yu and Juergen Branke and Yaochu Jin and Sara Silva and Hitoshi Iba and Anna I Esparcia-Alcazar and Thomas Bartz-Beielstein and Federica Sarro and Giuliano Antoniol and Anne Auger and Per Kristian Lehre",
- pages = "1435--1442",
- address = "Kyoto, Japan",
- publisher = "ACM",
- publisher_address = "New York, NY, USA",
- month = "15-19 " # jul,
- organisation = "SIGEVO",
- keywords = "genetic algorithms, genetic programming, SBSE",
- isbn13 = "978-1-4503-5618-3",
-
URL = "
https://famelis.files.wordpress.com/2018/04/gecco18-cr.pdf",
-
DOI = "
doi:10.1145/3205455.3205622",
- size = "8 pages",
- abstract = "Despite the many advantages, the use of external libraries through their APIs remains difficult because of the usage patterns and constraints that are hidden or not properly documented. Existing work provides different techniques to recover API usage patterns from client programs in order to help developers understand and use those libraries. However, most of these techniques produce basic patterns that generally do not involve temporal properties. In this paper, we discuss the problem of temporal usage patterns recovery and propose a genetic-programming algorithm to solve it. Our evaluation on different APIs shows that the proposed algorithm allows to derive non-trivial temporal usage patterns that are useful and generalizable to new API clients.",
-
notes = "See \cite{SAIED2020106213}
Also known as \cite{3205622} GECCO-2018 A Recombination of the 27th International Conference on Genetic Algorithms (ICGA-2018) and the 23rd Annual Genetic Programming Conference (GP-2018)",
