TY - JOUR
T1 - AOBA
T2 - 46th International Conference on Current Trends in Theory and Practice of Computer Science Doctoral Student Research Forum, SOFSEM-SRF 2020
AU - Wakimoto, Ryu
AU - Kobayashi, Satoshi
AU - Igarashi, Yuki
AU - Jargalsaikhan, Davaajav
AU - Hendrian, Diptarama
AU - Yoshinaka, Ryo
AU - Shinohara, Ayumi
N1 - Funding Information:
This research was partially supported by JSPS KAKENHI Grant Numbers JP15H05706 and JP19K20208. Copyright ©c 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
Publisher Copyright:
Copyright © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
PY - 2020
Y1 - 2020
N2 - Experimental performance of an algorithm often has a big gap from its theoretical complexity analysis. It is necessary to understand the characteristics of the experimental performances of different algorithms for the same problem to select an appropriate algorithm depending on available computing resources and properties of input data. In this paper, we present AOBA, an integrated online platform for testing, evaluating, analyzing and comparing different algorithms for various types of string processing problems. New algorithms can be submitted to AOBA and will be evaluated with many test data. All experiments work on the web: everyone can use AOBA without any local environment for experiments. AOBA also includes a powerful in-browser visualizer for analyzing and comparing performances of algorithms.
AB - Experimental performance of an algorithm often has a big gap from its theoretical complexity analysis. It is necessary to understand the characteristics of the experimental performances of different algorithms for the same problem to select an appropriate algorithm depending on available computing resources and properties of input data. In this paper, we present AOBA, an integrated online platform for testing, evaluating, analyzing and comparing different algorithms for various types of string processing problems. New algorithms can be submitted to AOBA and will be evaluated with many test data. All experiments work on the web: everyone can use AOBA without any local environment for experiments. AOBA also includes a powerful in-browser visualizer for analyzing and comparing performances of algorithms.
KW - Experimental evaluation
KW - Online evaluation tool
KW - String processing
UR - http://www.scopus.com/inward/record.url?scp=85081690653&partnerID=8YFLogxK
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M3 - Conference article
AN - SCOPUS:85081690653
SN - 1613-0073
VL - 2568
SP - 1
EP - 12
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
Y2 - 20 January 2020 through 24 January 2020
ER -