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ICSE 2022
Sun 8 - Fri 27 May 2022
Thu 12 May 2022 03:00 - 03:15 at ICSE Demo room 2 - Modeling and Refactoring Chair(s): Renzo Degiovanni

Pattern matching for instanceof is widely used with the advantage of conditionally extracting components from objects and with the disadvantage of the compulsory usage of type castings. It has been periodically proposed as the preview feature in lately published JDK to avoid redundant type castings and to optimize pattern matching in multi-branch statements. There is a strong need to provide full support of refactoring instanceof pattern matching. However, manual refactoring is time-consuming and tedious. Furthermore, none of the existing works and prevalent IDEs can provide sufficient support for such refactoring. To this end, this paper presents a refactoring tool ReInstancer that alleviates type castings by converting a multi-branch statement with instanceof pattern matching into a switch statement or expression automatically. ReInstancer is evaluated on 7 real-world applications, with a total of 4404 instanceof expressions. The evaluation results demonstrate that ReInstancer can successfully remove 2060 type castings and refactor 141 multi-branch statements with a total of 1972instanceofpattern matching, which improves the code quality. A video showing the tool is available at https://www.youtube.com/watch?v=V7qGQRRnwVA

Thu 12 May

Displayed time zone: Eastern Time (US & Canada) change

03:00 - 04:00
Modeling and RefactoringDEMO - Demonstrations at ICSE Demo room 2
Chair(s): Renzo Degiovanni SnT, University of Luxembourg
03:00
15m
Demonstration
ReInstancer: Automatically Refactoring for Instanceof Pattern Matching
DEMO - Demonstrations
Shuai Hong Hebei University of Science and Technology, Yang Zhang Hebei University of Science and Technology, Chaoshuai Li Hebei University of Science and Technology, Yu Bai Hebei University of Science and Technology
DOI Pre-print Media Attached
03:15
15m
Demonstration
ML-Quadrat & DriotData: A Model-Driven Engineering Tool and a Low-Code Platform for Smart IoT Services
DEMO - Demonstrations
Armin Moin Technical University of Munich, Germany, Andrei Mituca DriotData UG, Munich, Germany, Moharram Challenger University of Antwerp, Atta Badii University of Reading, United Kingdom, Stephan Günnemann Technical University of Munich (TUM) & Munich Data Science Institute, Germany
Pre-print Media Attached
03:30
15m
Demonstration
RM2Doc: A Tool for Automatic Generation of Requirements Documents from Requirements Models
DEMO - Demonstrations
Tianshu Bao School of Computer Science and Technology, Guizhou University, Jing Yang School of Computer Science and Technology, Guizhou University, Yilong Yang Beihang University, Yongfeng Yin School of Software, Beihang University
DOI Pre-print Media Attached