Technical debts and faults in open-source quantum software systems: An empirical study

Openja, Moses; Morovati, Mohammad Mehdi; An, Le; Khomh, Foutse; Abidi, Mouna

doi:10.1016/j.jss.2022.111458

Cited by 9 publications

(5 citation statements)

References 44 publications

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“…These definitions were extracted from the reviewed literature and supporting literature. We chose those papers with definitions [46][47][48][49][50] that involve several aspects of quantum computing. Three definitions are presented next.…”

Section: Rq1: What Is the Definition Of Quantum Computing?mentioning

confidence: 99%

See 1 more Smart Citation

The Foundations of Quantum Computing and Their Relation to Software Engineering

Juárez-Ramírez,

Navarro-Cota,

Jiménez

et al. 2024

Proceedings of ISP RAS

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The principles of quantum mechanics – superposition, entanglement, measurement, and decoherence – form the foundation of quantum computing. Qubits, which are abstract objects having a mathematical expression to implement the rules of quantum physics, are the fundamental building blocks of computation. Software is a key component of quantum computing, along with quantum hardware. Algorithms make up software, and they are implemented using logic gates and quantum circuits. These qualities make quantum computing a paradigm that non-physicists find difficult to comprehend. It is crucial to incorporate a conceptual framework of the principles upon which quantum computing is founded into this new method of creating software. In this paper, we present a kind of taxonomical view of the fundamental concepts of quantum computing and the derived concepts that integrate the emerging discipline of quantum software engineering. Because the systematic review's main goal is to identify the core ideas behind quantum computing and quantum software, we conducted a quasi-systematic mapping as part of the review process. The findings can serve as a starting point for computer science teachers and students to address the study of this field.

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Section: Rq1: What Is the Definition Of Quantum Computing?mentioning

confidence: 99%

“…Three definitions are presented next. Definition 1 [46]: "Quantum Computing is a paradigm that intersects computer science, mathematics, and physics. Unlike other computing fields, quantum computing uses the law of quantum mechanics with the goal of achieving high computation efficiency."…”

Section: Rq1: What Is the Definition Of Quantum Computing?mentioning

confidence: 99%

The Foundations of Quantum Computing and Their Relation to Software Engineering

Juárez-Ramírez,

Navarro-Cota,

Jiménez

et al. 2024

Proceedings of ISP RAS

View full text Add to dashboard Cite

show abstract

“…Several works tried to understand how code smells can affect software, evaluating different aspects of quality, such as maintainability [21,67,82], modularity [62], program comprehension [2], change-proneness [33,34], and how developers perceive code smells [53,81]. Other studies aim to evaluate how code smells impact the defect proneness [24,28,34,49,50,51]. Olbrich et al [49] evaluated the fault-proneness evolution of the God Class and Brain Class of three open-source systems.…”

Section: Related Workmentioning

confidence: 99%

“…They report the existence of a relationship between some code smells with defects, but it is not consistent for all system versions. Openja et al [50] evaluated how code smells can make the class more fault-prone in quantum projects. Differently from these studies, we aim to understand whether models build for defects and code smells are similar or not.…”

Section: Related Workmentioning

confidence: 99%

Yet Another Model! A Study on Model’s Similarities for Defect and Code Smells

Santos

Santana

Vale

et al. 2023

Lecture Notes in Computer Science

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Software defect and code smell prediction help developers identify problems in the code and fix them before they degrade the quality or the user experience. The prediction of software defects and code smells is challenging, since it involves many factors inherent to the development process. Many studies propose machine learning models for defects and code smells. However, we have not found studies that explore and compare these machine learning models, nor that focus on the explainability of the models. This analysis allows us to verify which features and quality attributes influence software defects and code smells. Hence, developers can use this information to predict if a class may be faulty or smelly through the evaluation of a few features and quality attributes. In this study, we fill this gap by comparing machine learning models for predicting defects and seven code smells. We trained in a dataset composed of 19,024 classes and 70 software features that range from different quality attributes extracted from 14 Java open-source projects. We then ensemble five machine learning models and employed explainability concepts to explore the redundancies in the models using the top-10 software features and quality attributes that are known to contribute to the defects and code smell predictions. Furthermore, we conclude that although the quality attributes vary among the models, the complexity, documentation, and size are the most relevant. More specifically, Nesting Level Else-If is the only software feature relevant to all models.

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“…2 Traditional software systems have been extensively studied, quantum software maintenance is still a new area of research, but it is a critical element in ensuring the quality of the entire quantum computing system. 3 In this sense, we are in a globally connected society that is always updated with instant information. 4 In addition, there is a personalised digital system accessible to all, which, thanks to the improvement of technology, makes it possible to sell products or services via the internet and also includes media of great importance.…”

Section: Introductionmentioning

confidence: 99%

Web/Mobile system innovation: An efficient revolution in warehouse management.

ZAVALETA SAENZ,

Romero Ruiz,

Pacheco

2024

F1000Res

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In today’s society, the amount of data available in many area has made it more important than ever to use effective technological tools for accurate and clear analysis and presentation of information. Therefore, the main objective of the research is to implement a Web/mobile system to improve inventory management in a private company. It has been developed under an agile extreme programming XP methodology, taking into account the following phases, which are carried out four structural activities planning, design, coding and testing. In addition, the following technologies were chosen: such as with programming languages PHP, with markup language PHP, MySql v. 10.0 as database system MySql v. 10.0, and cascading style sheets CSS for visual customisation. Therefore, the results showl a 13% improvement in the efficiency of the percentage of spools to be located (PSL, a 28% a better control of the index of percentage of inventoried coils (IC) and an 1,1% difference in efficiency of the Productivity per user (PU) index. With the implementation of a web-based web/mobile inventory management system to improve inventory control and mobile to better control of a company inventory management, using as a reference the most agile methodology to diversify the cases and functionalities contained in the system.

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Technical debts and faults in open-source quantum software systems: An empirical study

Cited by 9 publications

References 44 publications

The Foundations of Quantum Computing and Their Relation to Software Engineering

The Foundations of Quantum Computing and Their Relation to Software Engineering

Yet Another Model! A Study on Model’s Similarities for Defect and Code Smells

Web/Mobile system innovation: An efficient revolution in warehouse management.

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