Integrating typed and untyped code in a scripting language

Author:

Wrigstad Tobias1,Nardelli Francesco Zappa2,Lebresne Sylvain3,Östlund Johan3,Vitek Jan3

Affiliation:

1. Stockholm University, Kista, Sweden

2. INRIA, Le Chesnay, France

3. Purdue University, West Lafayette, USA

Abstract

Many large software systems originate from untyped scripting language code. While good for initial development, the lack of static type annotations can impact code-quality and performance in the long run. We present an approach for integrating untyped code and typed code in the same system to allow an initial prototype to smoothly evolve into an efficient and robust program. We introduce like types , a novel intermediate point between dynamic and static typing. Occurrences of like types variables are checked statically within their scope but, as they may be bound to dynamic values, their usage is checked dynamically. Thus like types provide some of the benefits of static typing without decreasing the expressiveness of the language. We provide a formal account of like types in a core object calculus and evaluate their applicability in the context of a new scripting language.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Software

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Deploying OWL ontologies for semantic mediation of mixed-reality interactions for human–robot collaborative assembly;Journal of Manufacturing Systems;2023-10

2. GTP Benchmarks for Gradual Typing Performance;Proceedings of the 2023 ACM Conference on Reproducibility and Replicability;2023-06-27

3. How to evaluate blame for gradual types;Proceedings of the ACM on Programming Languages;2021-08-22

4. The behavior of gradual types: a user study;ACM SIGPLAN Notices;2020-04-06

5. The behavior of gradual types: a user study;Proceedings of the 14th ACM SIGPLAN International Symposium on Dynamic Languages;2018-10-24

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3