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Line 254: \| url = http://www0.cs.ucl.ac.uk/staff/w.langdon/ftp/papers/Langdon_2013_ieeeTEC.pdf }}</ref> A recent work by Basios et al. shows that by optimising the data structure, Google Guava found 9% improvement on execution time, 13% improvement on memory consumption and 4% improvement on CPU usage separately.<ref>{{cite book\|last1=Basios\|first1=Michail\|last2=Li\|first2=Lingbo\|last3=Wu\|first3=Fan\|last4=Kanthan\|first4=Leslie\|last5=Barr\|first5=Earl T.\|title=Optimising Darwinian Data Structures on Google Guava\|journal=Search Based Software Engineering\|volume=10452\|date=9 September 2017\|pages=161–167\|doi=10.1007/978-3-319-66299-2_14\|language=en\|series=Lecture Notes in Computer Science\|isbn=978-3-319-66298-5\|url=http://discovery.ucl.ac.uk/10062895/1/ssbse_dariwnian_guava.pdf}}</ref>. ===Project management=== Line 347: ==See also== ~~{{Portal\|Software Testing}}~~ [[Program analysis (computer science)]] [[Dynamic program analysis]]

Search-based software engineering: Difference between revisions