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Program transformation landscapes for automated program modification using Gin.

, , , , , и . Empir. Softw. Eng., 28 (4): 104 (июля 2023)

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Brad Prager

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Using Scaffolding with Partial Call-Trees to Improve Search., , , и . PPSN, том 9921 из Lecture Notes in Computer Science, стр. 324-334. Springer, (2016)Data Movement Optimisation in Point-Free Form., и . AMAST, том 4019 из Lecture Notes in Computer Science, стр. 21-35. Springer, (2006)Genetic improvement of software efficiency: the curse of fitness estimation., , и . GECCO Companion, стр. 1926-1927. ACM, (2020)Towards rigorous validation of energy optimisation experiments., , и . GECCO, стр. 1232-1240. ACM, (2020)A Preliminary Exploration of Floating Point Grammatical Evolution.. CoRR, (2018)The quest for non-functional property optimisation in heterogeneous and fragmented ecosystems: a distributed approach., , и . GECCO (Companion), стр. 1705-1706. ACM, (2019)Program transformation landscapes for automated program modification using Gin., , , , , и . Empir. Softw. Eng., 28 (4): 104 (июля 2023)Boosting Instruction Set Simulator Performance with Parallel Block Optimisation and Replacement., , , , и . ACSC, том 122 из CRPIT, стр. 11-20. Australian Computer Society, (2012)A survey of genetic improvement search spaces., , , , , и . GECCO (Companion), стр. 1715-1721. ACM, (2019)Boosting Search for Recursive Functions Using Partial Call-Trees., и . PPSN, том 8672 из Lecture Notes in Computer Science, стр. 384-393. Springer, (2014)