Search-based software engineering: Difference between revisions

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Y. Zhang and M. Harman and S. L. Lim, "[http://www.cs.ucl.ac.uk/fileadmin/UCL-CS/images/Research_Student_Information/RN_11_12.pdf Search Based Optimization of Requirements Interaction Management]," Department of Computer Science, University College London, Research Note RN/11/12, 2011.
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<ref>{{cite book|last1=Li|first1=Lingbo|last2=Harman|first2=Mark|last3=Letier|first3=Emmanuel|last4=Zhang|first4=Yuanyuan|title=Robust Next Release Problem: Handling Uncertainty During Optimization|journal=Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation|date=2014|pages=1247–1254|doi=10.1145/2576768.2598334|isbn=9781450326629|series=Gecco '14}}</ref><ref>{{cite journal|last1=Li|first1=L.|last2=Harman|first2=M.|last3=Wu|first3=F.|last4=Zhang|first4=Y.|title=The Value of Exact Analysis in Requirements Selection|journal=IEEE Transactions on Software Engineering|date=2017|volume=43|issue=6|pages=580–596|doi=10.1109/TSE.2016.2615100|url=http://ieeexplore.ieee.org/abstract/document/7582553/?reload=true|issn=0098-5589}}</ref>
 
===Debugging and maintenance===
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===Optimizing software===
The use of SBSE in [[program optimization]], or modifying a piece of software to make it more efficient in terms of speed and resource use, has been the object of successful research.<ref>{{cite journal |last1=Memeti |first1=Suejb |last2=Pllana |first2=Sabri |last3=Binotto |first3=Alecio |last4=Kolodziej |first4=Joanna |last5=Brandic |first5=Ivona |author5-link= Ivona Brandić |title=Using meta-heuristics and machine learning for software optimization of parallel computing systems: a systematic literature review |journal=Computing |volume=101 |issue=8 |date=2018 |pages=1–44893–936 |doi=10.1007/s00607-018-0614-9 |arxiv=1801.09444 }}</ref> In one instance, a 50,000 line program was genetically improved, resulting in a program 70 times faster on average.<ref>
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| last = Langdon