In this paper we argue for using many partial test suites instead of one full test suite during program repair. This may provide a pool of simpler, yet correct patches, addressing both the overfitting and poor repair quality problem. To support this idea, we present some insight obtained running APR partial test suites on the well studied triangle program.
Sun 30 MayDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
Sun 30 May
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
21:30 - 22:50 | |||
21:30 25mLong-paper | CRNRepair: Automated Program Repair of Chemical Reaction Networks GI 2021 Ibrahim Mesecan Iowa State University, Michael C. Gerten Iowa State University, James I. Lathrop Iowa State University, Myra Cohen Iowa State University, Tomas Haddad Caldas Catholic Pontifical University of Rio Grande do Sul Pre-print Media Attached | ||
21:55 10mShort-paper | Applying Automated Program Repair to Dataflow Programming Languages GI 2021 Yu Huang University of Michigan, Hammad Ahmad University of Michigan, Stephanie Forrest Arizona State University, Westley Weimer University of Michigan Media Attached | ||
22:05 25mLong-paper | Generating Objected-Oriented Source Code Using Genetic Programming GI 2021 Pre-print Media Attached | ||
22:30 10mShort-paper | Partial Specifications for Program Repair GI 2021 Pre-print Media Attached | ||
22:40 10mShort-paper | A Permutation Representation of Covering Arrays GI 2021 Media Attached |
Information for Participants
Sun 30 May 2021 21:30 - 22:50 at GI Room - Session 2
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