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Zitzler E, Laumanns M, Thiele L: SPEA2: improving the strength Pareto evolutionary algorithm. Switzerland: Technical Report 103, Gloriastrasse 35, CH-8092 Zurich; 2001. Google Scholar Knowles JD, Corne DW: Approximating the nondominated front using the Pareto archived evolution strategy. Evol ...
Ren Y, Zhang Y, Zhang M, et al (2016) Improving twitter sentiment classification using topic-enriched multi-prototype word embeddings. In: Thirtieth AAAI conference on artificial intelligence Rietzler A, Stabinger S, Opitz P, et al (2019) Adapt or get left behind: Domain adaptation through ...
We demonstrate the capabilities of this framework with the real-world use case of improving the transfer of information between telecommunication field engineers and desk-based planning agents. In this use case, the treatment of complex orders (such as fibre access installation) requires decomposition ...
fault localization information:suspiciousness-first algorithm(SFA)based on the suspiciousness accuracy and rank-first algorithm(RFA)relying on the rank accuracy.However,despite the fact that the two different usages are widely adopted by current automated program repair and may result in different ...
ANALOGUE SIGNAL PROCESSOR UNIT FOREVALUATING APPARATUSES, IN PARTICULAR FOR FAULT LOCALIZATION BASED ON RESISTANCE MEASUREMENTDEMENY,FERENC,HUMOLNAR,L.LASZLO,HUGAZSO,LASZLO,HU
(NCP), while SFA performs better in parallel repair and patch diversity; the performance of SFA can be improved by increasing the suspiciousness accuracy of fault localization techniques; finally, we use SimFix that deploys SFA to successfully repair four extra Defects4J bugs which cannot be ...
These observations provide directions for future research on the usage of statement selecting strategies and a new avenue for improving the effectiveness of fault localization techniques in automated program repair.doi:10.1007/978-3-030-04272-1_3...
ANALOGUE SIGNAL PROCESSOR UNIT TO EVALUATING APPARATUSES, IN PARTICULAR TO FAULT LOCALIZATION BASED ON RESISTANCE MEASUREMENTDEMENY,FERENC,HUMOLNAR, L.LASZLO,HUGAZSO,LASZLO,HU
Spectrum-based fault localizationPythontesting and debuggingempirical studyEmpirical Software Engineering - Spectrum Based Fault Localization (SBFL) is a statistical approach to identify faulty code within a program given a program spectra (i.e., records of program......