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model inference
Google model inference

Tag #model inference

14 papers:

SANERSANER-2019-YangASLHCS #industrial #learning
Improving Model Inference in Industry by Combining Active and Passive Learning (NY, KA, RRHS, LL, DH, LC, AS), pp. 253–263.
ASEASE-2019-BusanyMY
Size and Accuracy in Model Inference (NB, SM, YY), pp. 887–898.
TAPTAP-2016-FelbingerPW #effectiveness #testing
Classifying Test Suite Effectiveness via Model Inference and ROBBDs (HF, IP, FW), pp. 76–93.
ICSTICST-2015-Felbinger #assessment #quality #testing #using
Test Suite Quality Assessment Using Model Inference Techniques (HF), pp. 1–2.
SANERCSMR-WCRE-2014-BuchlerHMMGO #security #testing
Model inference and security testing in the spacios project (MB, KH, PFM, MM, RG, CO), pp. 411–414.
SPLCSPLC-2014-VacchiCCA #automation #component #implementation #variability
Automating variability model inference for component-based language implementations (EV, WC, BC, MA), pp. 167–176.
ASEASE-2014-OhmannHFHPBB #behaviour #resource management
Behavioral resource-aware model inference (TO, MH, SF, AH, MP, IB, YB), pp. 19–30.
ICSTICST-2012-DucheneGRR #detection #fuzzing #using
XSS Vulnerability Detection Using Model Inference Assisted Evolutionary Fuzzing (FD, RG, SR, JLR), pp. 815–817.
ICSEICSE-2010-KrkaBPGM #behaviour #execution #invariant #using
Using dynamic execution traces and program invariants to enhance behavioral model inference (IK, YB, DP, JG, NM), pp. 179–182.
KDDKDD-2009-YaoMM #documentation #performance #streaming #topic
Efficient methods for topic model inference on streaming document collections (LY, DMM, AM), pp. 937–946.
ESEC-FSEESEC-FSE-2009-LoMP #automation #behaviour
Automatic steering of behavioral model inference (DL, LM, MP), pp. 345–354.
WCREWCRE-2007-SinhaRK #parametricity #process
Parametric Process Model Inference (SS, GR, RK), pp. 21–30.
TAPSOFTTAPSOFT-1995-BertO #specification
A Model Inference System for Generic Specification with Application to Code Sharing (DB, CO), pp. 741–755.
ICLPICLP-1986-Huntbach86
An Improvised Version of Shapiro’s Model Inference System (MMH), pp. 180–187.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.