A Methodological Analysis of Empirical Studies in Quantum Software Testing

2026-01-13

AI Summary

This study addresses the lack of a unified methodology in empirical research on quantum software testing, which has hindered result interpretability and reproducibility. To this end, the work proposes a systematic analytical framework encompassing ten critical dimensions—including test subjects, baseline comparisons, and experimental configurations—and conducts a comprehensive literature review of 59 empirical studies coupled with multidimensional cross-analysis. The analysis reveals prevalent methodological flaws and inconsistencies in current practices. Beyond identifying common issues, the study formulates actionable methodological guidelines and concrete recommendations for improvement, thereby establishing both theoretical grounding and practical benchmarks to guide future empirical research in quantum software testing.

Technology Category

• Machine Learning: Quantum Machine Learning
• Search and Optimization: Evaluation and Analysis
• Knowledge Representation and Reasoning: Qualitative Reasoning

Application Category

• Search and Retrieval-Augmented AI: Web evaluation methodologies and metrics
• Web Mining and Content Analysis: Robustness and generalizability of Web mining methods
• Security and Privacy: Large-scale security measurements

Abstract

In quantum software engineering (QSE), quantum software testing (QST) has attracted increasing attention as quantum software systems grow in scale and complexity. Since QST evaluates quantum programs through execution under designed test inputs, empirical studies are widely used to assess the effectiveness of testing approaches. However, the design and reporting of empirical studies in QST remain highly diverse, and a shared methodological understanding has yet to emerge, making it difficult to interpret results and compare findings across studies. This paper presents a methodological analysis of empirical studies in QST through a systematic examination of 59 primary studies identified from a literature pool of size 384. We organize our analysis around ten research questions that cover key methodological dimensions of QST empirical studies, including objects under test, baseline comparison, testing setup, experimental configuration, and tool and artifact support. Through cross-study analysis along these dimensions, we characterize current empirical practices in QST, identify recurring limitations and inconsistencies, and highlight open methodological challenges. Based on our findings, we derive insights and recommendations to inform the design, execution, and reporting of future empirical studies in QST.

Problem

• quantum software testing
• empirical studies
• methodological analysis
• research reproducibility
• study comparability

Innovation

• quantum software testing
• empirical study
• methodological analysis
• systematic literature review
• research reproducibility