By Márcio Barros, Yvan Labiche
This e-book constitutes the refereed lawsuits of the seventh overseas Symposium on Search-Based software program Engineering, SSBSE 2015, held in Bergamo, Italy, in September 2015.
The 12 revised complete papers offered including 2 invited talks, four brief papers, 2 papers of the graduate song, and thirteen problem music papers have been rigorously reviewed and chosen from fifty one submissions. seek established software program Engineering (SBSE) experiences the applying of meta-heuristic optimization recommendations to varied software program engineering difficulties, starting from necessities engineering to software program trying out and maintenance.
Read or Download Search-Based Software Engineering: 7th International Symposium, SSBSE 2015, Bergamo, Italy, September 5-7, 2015, Proceedings PDF
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Extra resources for Search-Based Software Engineering: 7th International Symposium, SSBSE 2015, Bergamo, Italy, September 5-7, 2015, Proceedings
Example text
Each benchmark script contains a main test function that performs the operation described in Table 1. The scripts have been slightly modified to repeat their main test functions 50 times with each execution: this is to overcome the inherent randomness in measuring execution times. The execution time is measured using the system clock, starting from the invocation of the test function, and ending when it returns. It does not include any time used by the amortised optimisation itself. e. runs out of the allocated fitness evaluations), it becomes virtually zero.
JORS 64(12), 1695–1724 (2013). html 29. : Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms. Genet. Program Evolvable Mach. 15(1), 3–35 (2014). html 30. : Superblock scheduling using genetic programming for embedded systems. In: ICCI 2008. IEEE, pp. 261–266 (2008). cs. html 31. : Multiplicity computing: a vision of software engineering for next-generation computing platform applications. : FoSER 2010 FSE/SDP workshop, pp. 81-86. ACM, Santa Fe, New Mexico, USA (2010).
Both studies are supported by open source implementations of amortised optimisation techniques. The results show that amortised optimisation can improve non-functional properties of SUMO without knowing the details of the production environment in advance. Amortised Optimisation of Non-functional Properties 33 The contributions of this paper are as follows: – Amortised Optimisation: we introduce the concept of amortised optimisation, which takes place over multiple executions of SUMO in order to reduce the optimisation overhead with each execution.