Search-based software engineering: Difference between revisions

Revision as of 01:37, 21 February 2024

Revision as of 09:45, 26 April 2024

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===Testing===

Search-based software engineering has been applied to software testing, including the automatic generation of test cases (test data), test case minimization and test case prioritization.<ref>{{Cite book|last1=Harman|first1=Mark|last2=Jia|first2=Yue|last3=Zhang|first3=Yuanyuan|title=2015 IEEE 8th International Conference on Software Testing, Verification and Validation (ICST) |chapter=Achievements, Open Problems and Challenges for Search Based Software Testing |date=April 2015|___location=Graz, Austria|publisher=IEEE|pages=1–12|doi=10.1109/ICST.2015.7102580|citeseerx=10.1.1.686.7418|isbn=978-1-4799-7125-1|s2cid=15272060}}</ref> [[Regression testing]] has also received some attention.

===Optimizing software===

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| url = http://www0.cs.ucl.ac.uk/staff/w.langdon/ftp/papers/Langdon_2013_ieeeTEC.pdf

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A recent work by Basios et al. shows that by optimising the data structure, Google Guava found a 9% improvement onin execution time, 13% improvement onin memory consumption and 4% improvement onin 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=Search Based Software Engineering |chapter=Optimising Darwinian Data Structures on Google Guava |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===