一句话：提出一个系统化决策框架，用于识别适合量子计算的问题域，并排序软件开发中需考虑的关键因素。
量子计算系统有望高效完成计算密集任务，但软件工程师缺乏对量子问题域及其关联因素的认知，导致量子软件系统开发复杂且成本较高。本文提出两阶段方法：首先通过系统文献综述识别量子计算问题域及相关因素，其次对从业者开展在线调查获取软件工程实践见解，并借助领域专家将两组数据进行映射验证。结果分类出五个问题域和六项因素，其中“算法开发”和“语言开发”是最具潜力的量子方案应用领域，对应的关键因素包括“当前硬件限制”“标准化编码实践”和“软件专业化/适配”。该框架可支持组织与量子软件工程社区决策量子方案推荐。
Context: Quantum Computing (QC) systems exploit the characteristics of quantum mechanics to perform computationally demanding tasks more effectually than their classical counterparts. To utilize the full potential of QC systems, Quantum Software Engineering (QSE) has emerged to manage the challenges of quantum software development. Problem: Due to the lack of awareness of QC problem domains and their associated factors to consider and apply QC in the Software Engineering (SE) process, the development of a QC system becomes complex and less cost effective if without a guidance for software engineers. Objective: The proposed work aims to develop a systematic decision-making framework to help identify the quantum problem domains and prioritize the critical factors to be considered for the application of QC during the software development life cycle (SDLC). Method: The proposed method is implemented in two folds. First, a Systematic Literature Review (SLR) is performed to identify a set of QC problem domains and their associated factors that should be accounted for in the SE process. Second, an online survey is conducted to collect insights on the same aspects from practitioners in their SE processes to form another set of data. Finally, the relationships of the two sets are validated through careful mappings with the assistance of domain experts. Results: Five problem domains and six factors are classified by the proposed methodology, and some of them will benefit from a QC-based solution in the SE process. The results indicate that "Algorithm Development" and "Language Development" are two potential problem domains to apply a QC-based solution. For these two domains, "Current Hardware Limitations", "Standardized Coding Practices" and "Software Specialization/Adaptation" are the critical factors to be considered during the SE process. Conclusion: Organizations and QSE community can take advantage of the identified problem domains and their associated factors to make decisions in the recommendation of QC-based solutions.
DOI 原文 ·
@inproceedings{paperbot8947,
title = {A Decision-Making Framework to Recommend Quantum-Based Solutions for Fit Problem Domains with Associated Factors},
author = {Shahid Hussain and Nasreen Azad and Wen-Li Wang and Saif Ur Rehman Khan and Muhammad Abdul Basit Ur Rahim and Naseem Ibrahim},
booktitle = {FSE},
year = {2025},
doi = {10.1145/3696630.3731622}
}