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Program transformation landscapes for automated program modification using Gin.

, , , , , and . Empir. Softw. Eng., 28 (4): 104 (July 2023)

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Using Scaffolding with Partial Call-Trees to Improve Search., , , and . PPSN, volume 9921 of Lecture Notes in Computer Science, page 324-334. Springer, (2016)Data Movement Optimisation in Point-Free Form., and . AMAST, volume 4019 of Lecture Notes in Computer Science, page 21-35. Springer, (2006)Genetic improvement of software efficiency: the curse of fitness estimation., , and . GECCO Companion, page 1926-1927. ACM, (2020)Towards rigorous validation of energy optimisation experiments., , and . GECCO, page 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., , and . GECCO (Companion), page 1705-1706. ACM, (2019)Program transformation landscapes for automated program modification using Gin., , , , , and . Empir. Softw. Eng., 28 (4): 104 (July 2023)Boosting Instruction Set Simulator Performance with Parallel Block Optimisation and Replacement., , , , and . ACSC, volume 122 of CRPIT, page 11-20. Australian Computer Society, (2012)A survey of genetic improvement search spaces., , , , , and . GECCO (Companion), page 1715-1721. ACM, (2019)Boosting Search for Recursive Functions Using Partial Call-Trees., and . PPSN, volume 8672 of Lecture Notes in Computer Science, page 384-393. Springer, (2014)