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<!DOCTYPE HTML>
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<!-- Logo -->
<!-- <div> <img id="logo-join-img" src="images/join-us-logo.png" alt="" /> </div> -->
<h1 class = "join-h1"> Sentinel</h1>
<h2 class="funding-h2">A Hyper-Heuristic for the Generation of Mutant Reduction Strategies</h2>
<!-- <h2 class="join-h2">We are actively looking for talented students who are interested in joining SOLAR as research fellows, PhD students, Master students and undergraduate research assistants. </h2>
<h2 class="join-h2"> If you are interested, send an email to <a href="mailto:f.sarro@ucl.ac.uk"> <u>Dr Federica Sarro</u></a> to include your CV, a statement of your research interests and past experience, starting time and transcripts in your message.</h2>
<p>Fully funded PhD scholarship available, click <a href="http://www0.cs.ucl.ac.uk/staff/F.Sarro/PhDScholarship.html"> here </a> for more info. </p>
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<h2 class ="project-h2">About</h2>
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<header>
<h3 class= "funding-box-h3"> Mutation testing is an effective approach to evaluate and strengthen software test suites, but its adoption is currently limited by the mutants' execution computational cost. Several strategies have been proposed to reduce this cost (a.k.a. mutation cost reduction strategies), however none of them has proven to be effective for all scenarios since they often need an ad-hoc manual selection and configuration depending on the software under test (SUT).
In this paper, we propose a novel multi-objective evolutionary hyper-heuristic approach, dubbed <strong>Sentinel</strong>, to automate the generation of optimal cost reduction strategies for every new SUT. We evaluate <strong>Sentinel</strong> by carrying out a thorough empirical study involving 40 releases of 10 open-source real-world software systems and both baseline and state-of-the-art strategies as a benchmark. We execute a total of 4,800 experiments, and evaluate their results with both quality indicators and statistical significance tests, following the most recent best practice in the literature.
The results show that strategies generated by <strong>Sentinel</strong> outperform the baseline strategies in 95% of the cases always with large effect sizes. They also obtain statistically significantly better results than state-of-the-art strategies in 88% of the cases, with large effect sizes for 95% of them. Also, our study reveals that the mutation strategies generated by <strong>Sentinel</strong> for a given software version can be used without any loss in quality for subsequently developed versions in 95% of the cases.
These results show that <strong>Sentinel</strong> is able to automatically generate mutation strategies that reduce mutation testing cost without affecting its testing effectiveness (i.e. mutation score), thus taking off from the tester's shoulders the burden of manually selecting and configuring strategies for each SUT.</h3>
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<h4 class="member-names"> Paper</h4>
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<a href = "https://github.com/SOLAR-group/sentinel" download><img class ="project-image" src="/images/source.png"> </a>
<h4 class="member-names"><a href = "https://github.com/SOLAR-group/sentinel" download>Source Code</a></h4>
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<a href = "/os/sentinel/Sentinel-subject-versions.7z" download><img class ="project-image" src="/images/subjects.png"> </a>
<h4 class="member-names"> <a href = "/os/sentinel/Sentinel-subject-versions.7z" download>Subjects</a></h4>
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<a href = "https://liveuclac-my.sharepoint.com/personal/ucacggu_ucl_ac_uk/_layouts/15/onedrive.aspx?id=%2Fpersonal%2Fucacggu%5Fucl%5Fac%5Fuk%2FDocuments%2FSentinel%2FSentinel%2Dsubject%2Dversions%2E7z&parent=%2Fpersonal%2Fucacggu%5Fucl%5Fac%5Fuk%2FDocuments%2FSentinel&originalPath=aHR0cHM6Ly9saXZldWNsYWMtbXkuc2hhcmVwb2ludC5jb20vOnU6L2cvcGVyc29uYWwvdWNhY2dndV91Y2xfYWNfdWsvRVp0RFY5X0ZCUkJCc3F0OXhmeEd1UzBCWGxlUEVxNnJuTFM4Zm1LUkJ6cjkwUT9ydGltZT1iTndpbnlRRzJFZw" download><img class ="project-image" src="/images/data.jpg"> </a>
<h4 class="member-names"> <a href = "https://liveuclac-my.sharepoint.com/personal/ucacggu_ucl_ac_uk/_layouts/15/onedrive.aspx?id=%2Fpersonal%2Fucacggu%5Fucl%5Fac%5Fuk%2FDocuments%2FSentinel%2FSentinel%2Dsubject%2Dversions%2E7z&parent=%2Fpersonal%2Fucacggu%5Fucl%5Fac%5Fuk%2FDocuments%2FSentinel&originalPath=aHR0cHM6Ly9saXZldWNsYWMtbXkuc2hhcmVwb2ludC5jb20vOnU6L2cvcGVyc29uYWwvdWNhY2dndV91Y2xfYWNfdWsvRVp0RFY5X0ZCUkJCc3F0OXhmeEd1UzBCWGxlUEVxNnJuTFM4Zm1LUkJ6cjkwUT9ydGltZT1iTndpbnlRRzJFZw" download> Results</a></h4>
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<a href = "/os/sentinel/Appendices.pdf" download><img class ="project-image" src="/images/appendices.png"> </a>
<h4 class="member-names"> <a href = "/os/sentinel/Appendices.pdf" download>Appendix</a></h4>
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<h4 class="member-names" ><a href="https://sites.google.com/view/giovaniguizzo/home">Dr Giovani Guizzo</a></h4>
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<a href="http://www0.cs.ucl.ac.uk/staff/F.Sarro/" class="image featured"> <img src="images/federica-1.jpeg" alt="" /> </a>
<h4 class="member-names"><a href="http://www0.cs.ucl.ac.uk/staff/F.Sarro/">Dr Federica Sarro</a> </h4>
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<a href="http://www0.cs.ucl.ac.uk/staff/j.krinke/" class="image featured"><img src="images/J.Krinke.jpg" alt="" /></a>
<h4 class="member-names"><a href="http://www0.cs.ucl.ac.uk/staff/j.krinke/">Dr Jens Krinke</a></h4>
<!-- <p>Honorary Senior Researcher at UCL and Senior Data Scientist at Expedia</p> -->
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<a href="http://www.inf.ufpr.br/silvia/" class="image featured"><img src="images/silvia.jpg" alt="" /></a>
<h4 class="member-names"><a href="http://www.inf.ufpr.br/silvia/">Professor Silvia R. Vergilio</a></h4>
<!-- <p>Research Fellow at UCL</p> -->
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<h3 class="">Microsoft</h3>
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<h3 class="">CAPES</h3>
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<h3 class="">CNPq</h3>
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