Implementing an environment for hybrid software evaluation

IF 1.5 4区计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING

Science of Computer Programming Pub Date : 2024-03-24 DOI:10.1016/j.scico.2024.103109

Ana Díaz-Muñoz , Moisés Rodríguez , Mario Piattini

{"title":"Implementing an environment for hybrid software evaluation","authors":"Ana Díaz-Muñoz , Moisés Rodríguez , Mario Piattini","doi":"10.1016/j.scico.2024.103109","DOIUrl":null,"url":null,"abstract":"<div>Quantum computing is a revolutionary paradigm in computer science based on the principles of quantum mechanics. It has the potential to solve problems that are currently unsolvable for classical computing. Applications of quantum computing already span a variety of sectors.Ongoing enhancements to the integrated programming and development environment simplify the creation and optimization of quantum algorithms. Ultimately, the focus on supporting tools represents the starting point towards achieving quantum computing maturity, facilitating its transition from an experimental domain to a practical industry.As quantum software gains ground and relevance in various domains, it is essential to address the evaluation of hybrid systems that combine classical and quantum elements to ensure diverse quality characteristics. However, in the realm of quantum software, models, metrics, and tools are still to be established.The primary contribution of this paper is to present the first technological environment for measuring and evaluating the analyzability of hybrid software.Real-world examples of hybrid software are provided to showcase the functionality of the different tools in the environment, yielding readable and representative results for the evaluator.</div>","PeriodicalId":49561,"journal":{"name":"Science of Computer Programming","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2024-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science of Computer Programming","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167642324000327","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}

引用次数: 0

Abstract

Quantum computing is a revolutionary paradigm in computer science based on the principles of quantum mechanics. It has the potential to solve problems that are currently unsolvable for classical computing. Applications of quantum computing already span a variety of sectors.

Ongoing enhancements to the integrated programming and development environment simplify the creation and optimization of quantum algorithms. Ultimately, the focus on supporting tools represents the starting point towards achieving quantum computing maturity, facilitating its transition from an experimental domain to a practical industry.

As quantum software gains ground and relevance in various domains, it is essential to address the evaluation of hybrid systems that combine classical and quantum elements to ensure diverse quality characteristics. However, in the realm of quantum software, models, metrics, and tools are still to be established.

The primary contribution of this paper is to present the first technological environment for measuring and evaluating the analyzability of hybrid software.

Real-world examples of hybrid software are provided to showcase the functionality of the different tools in the environment, yielding readable and representative results for the evaluator.

查看原文本刊更多论文

实施混合软件评估环境

量子计算是基于量子力学原理的计算机科学革命性范式。它有可能解决目前经典计算无法解决的问题。量子计算的应用已经遍及各个领域。对集成编程和开发环境的持续增强简化了量子算法的创建和优化。最终，对支持工具的关注代表了实现量子计算成熟的起点，促进了量子计算从实验领域向实用行业的过渡。随着量子软件在各个领域的普及和相关性的提高，必须解决对结合经典和量子元素的混合系统的评估问题，以确保不同的质量特性。本文的主要贡献在于首次提出了测量和评估混合软件可分析性的技术环境。本文提供了混合软件的真实案例，展示了环境中不同工具的功能，为评估者提供了可读性和代表性的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Science of Computer Programming 工程技术-计算机：软件工程

CiteScore

3.80

自引率

0.00%

发文量

审稿时长

67 days

期刊介绍： Science of Computer Programming is dedicated to the distribution of research results in the areas of software systems development, use and maintenance, including the software aspects of hardware design. The journal has a wide scope ranging from the many facets of methodological foundations to the details of technical issues andthe aspects of industrial practice. The subjects of interest to SCP cover the entire spectrum of methods for the entire life cycle of software systems, including • Requirements, specification, design, validation, verification, coding, testing, maintenance, metrics and renovation of software; • Design, implementation and evaluation of programming languages; • Programming environments, development tools, visualisation and animation; • Management of the development process; • Human factors in software, software for social interaction, software for social computing; • Cyber physical systems, and software for the interaction between the physical and the machine; • Software aspects of infrastructure services, system administration, and network management.