Replication of SOAR: A Synthesis Approach for Data Science API Refactoring

被引：0
|
作者：
Ni, Ansong [1 ]
Ramos, Daniel [2 ,3 ]
Yang, Aidan Z. H. [4 ]
Lynce, Ines [2 ]
Manquinho, Vasco [2 ]
Martins, Ruben [5 ]
Le Goues, Claire [5 ]
机构：
[1] Yale Univ, New Haven, CT 06520 USA
[2] Univ Lisbon, INESC ID IST, Lisbon, Portugal
[3] Carnegie Mellon Univ, Pittsburgh, PA 15213 USA
[4] Queens Univ, Kingston, ON, Canada
[5] Carnegie Mellon Univ, Sch Comp Sci, Pittsburgh, PA 15213 USA
来源：
2021 IEEE/ACM 43RD INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: COMPANION PROCEEDINGS (ICSE-COMPANION 2021) | 2021年
基金：
美国国家科学基金会;
关键词：
D O I：
10.1109/ICSE-Companion52605.2021.00083
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
This paper provides provides a guide to the replication package of SOAR: A Synthesis Approach for Data Science API Refactoring. Our replication package provides a reliable way of reproducing results of the paper using a virtual machine. The replication packages includes scripts to generate the tables and figures presented in results section of the paper. Details on how to use those scripts and run SOAR are explained throughout this guide.
引用
收藏
页码：190 / 191
页数：2
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