Object-oriented units of measurement

Author:

Allen Eric1,Chase David1,Luchangco Victor1,Maessen Jan-Willem1,Steele Guy L.1

Affiliation:

1. Sun Microsystems Laboratories, Burlington, MA

Abstract

Programs that manipulate physical quantities typically represent these quantities as raw numbers corresponding to the quantities' measurements in particular units (e.g., a length represented as a number of meters). This approach eliminates the possibility of catching errors resulting from adding or comparing quantities expressed in different units (as in the Mars Climate Orbiter error [11]), and does not support the safe comparison and addition of quantities of the same dimension. We show how to formulate dimensions and units as classes in a nominally typed object-oriented language through the use of statically typed metaclasses. Our formulation allows both parametric and inheritance poly-morphism with respect to both dimension and unit types. It also allows for integration of encapsulated measurement systems, dynamic conversion factors, declarations of scales (including nonlinear scales) with defined zeros, and nonconstant exponents on dimension types. We also show how to encapsulate most of the "magic machinery" that handles the algebraic nature of dimensions and units in a single meta-class that allows us to treat select static types as generators of a free abelian group.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Software

Cited by 20 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. Managing Quantities and Units of Measurement in Code Bases;Updates on Software Usability;2023-02-22

2. Towards a Theory of Conversion Relations for Prefixed Units of Measure;Relational and Algebraic Methods in Computer Science;2023

3. Acknowledging Implementation Trade-Offs When Developing with Units of Measurement;Communications in Computer and Information Science;2023

4. SA4U: Practical Static Analysis for Unit Type Error Detection;Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering;2022-10-10

5. Fortress Abstractions in X10 Framework;International Journal of Parallel Programming;2021-07-15

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