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16th International Conference on Information Technology and Electrical engineering, ICITEE 2024

作者： Pianprasit, Peerasak Phakdee, Nuttaporn Burapha University Software Engineering Faculty of Informatics Chonburi Thailand

ISBN: (纸本)9798350375817

This paper aims to present a measurement module that is an ongoing development for the KruCode platform, which is a platform for teaching and learning programming-related subjects. Currently, the platform includes functions such as defining problems, assigning students assignments, and assessing source code and reports. The objective of this platform was to make teaching and learning more accessible for instructors and students. The measurement module will measure the complexity of the student source code for each problem. We use cyclomatic metrics and object oriented design metrics (C-K metrics) to measure student source codes. The question complexity reports support the instructor in deciding the coding questions, considering the difficulty level of coding questions well suited to students, and building the learning outcome of that course. This information may be utilized to establish assignments, adjust activities to be relevant skills for the class's learners, and assess the level of skills of students. © 2024 IEEE.

关键词： Students

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A Feature-based Process for Effective Stakeholder Management in software Product Development

IAENG International Journal of Computer Science

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IAENG International Journal of Computer Science 2025年第1期52卷 171-186页

作者： Ignaim, Karam Fernandes, João M. Department of Software Engineering Al Balqa’ Applied University Salt Jordan Centro ALGORITMI/Department of Informatics University of Minho Braga Portugal

Successful product development is mostly dependent on how well contributions from stakeholders are taken into account. There are signs that the way stakeholders are involved in a project is directly linked to how well software products are delivered. Engagement of stakeholders enables organisations to proactively consider the requirements and expectations of anyone with a stake in the product under development. For a given stakeholder management process (SMP) to work well, it is recommended that all stakeholders be listed in a reference document, and their involvement in the process to be kept up-to-date. For this purpose, this study presents a solution to this problem by coming up with a feature-modelling-based stakeholder management process (FM-SMP) for capturing and documenting the right stakeholders during the SMP. The FMSMP supports ongoing monitoring of the status and attributes of stakeholders during this process. This manuscript includes the description of a case study on smart homes, where the proposed FM-SMP was adopted and evaluated successfully. The result of the case study reveals that the use of FM-SMP improves the ability of software engineers to effectively and precisely identify the appropriate stakeholders, thereby enhancing enduser satisfaction in software product development. © (2025), (International Association of Engineers). All rights reserved.

关键词： Product development

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Bias analysis of AI models for undergraduate student admissions

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Neural Computing and Applications 2025年第12期37卷 7785-7795页

作者： Van Busum, Kelly Fang, Shiaofen Department of Computer Science and Software Engineering Butler University IndianapolisIN United States Computing and Engineering Indiana University Luddy School of Informatics Indiana University Indianapolis IndianapolisIN United States

Bias detection and mitigation is an active area of research in machine learning. This work extends previous research done by the authors Van Busum and Fang (Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023) to provide a rigorous and more complete analysis of the bias found in AI predictive models. Admissions data spanning six years was used to create an AI model to determine whether a given student would be directly admitted into the School of Science under various scenarios at a large urban research university. During this time, submission of standardized test scores as part of a student’s application became optional which led to interesting questions about the impact of standardized test scores on admission decisions. We developed and analyzed AI models to understand which variables are important in admissions decisions, and how the decision to exclude test scores affects the demographics of the students who are admitted. We then evaluated the predictive models to detect and analyze biases these models may carry with respect to three variables chosen to represent sensitive populations: gender, race, and whether a student was the first in his/her family to attend college. We also extended our analysis to show that the biases detected were persistent. Finally, we included several fairness metrics in our analysis and discussed the uses and limitations of these metrics. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Students

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Integrating Data Protection at Interface of RISC-V Processor Core

Integrating Data Protection at Interface of RISC-V Processor...

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2024 Panhellenic Conference on Electronics and Telecommunications, PACET 2024

作者： Mach, Jan Kohutka, Lukas Cicak, Pavel Slovak University of Technology Institute of Computer Engineering and Applied Informatics Slovakia Information Systems and Software Engineering Slovak University of Technology Institute of Informatics Slovakia

ISBN: (纸本)9798350318845

Fulfilling increasing performance demands of space and automotive applications can be problematic as high dependability is required. Memory is one of the most radiationsensitive parts, so it is often protected with information redundancy. This paper describes an integration of error correction and detection techniques into the interface of RISC-V processor to protect the data stored in the memory. We also provide a hardware-software interface for reporting errors and software routines for correcting data in memory. Our solution has a negligible impact (-3.9%) on the overall performance of the core with a small area and power consumption overhead. © 2024 IEEE.

关键词： Error correction

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Attention Management: Extending in Progress 24

Attention Management: Extending in Progress

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24th IEEE International Symposium on Computational Intelligence and informatics, CINTI 2024

作者： Brodniansky, Juraj Lang, Ján Institute of Informatics Information Systems and Software Engineering Faculty of Informatics and Information Technologies Slovak Technical University in Bratislava Bratislava Slovakia

ISBN: (纸本)9798350353433

Attention management in software development proves to be a highly relevant issue. It offers various ways of managing the user’s attention using visual perception of the work environment. Awareness of the workplace provides a user with work context which may positively affect the productivity and workflow of a project. However, the work context may also provide the user with arbitrary information. Thus, regulations of incoming workplace information are required throughout the user’s work cycle. Furthermore, previous research supports the proposed extensions devised according to the lacking parts in the existing project management system. Furthermore, to stabilize the extensions, results from an experiment conducted on the proof-of-concept designed according to the proposed parts. © 2024 IEEE.

关键词： Project management

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ANNOE: Adaptive Neural Networks Optimization Engine

ANNOE: Adaptive Neural Networks Optimization Engine

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2023 IEEE Asia-Pacific Conference on Computer Science and Data engineering, CSDE 2023

作者： Kariyawasam, Nimendra Somasundaram, Sharmilan Software Engineering Informatics Institute of Technology Colombo Sri Lanka

ISBN: (纸本)9798350341072

As the demand for deploying machine learning models on high-end mobile devices and IoT devices increases, the need for efficient machine learning model optimization becomes critical to execute on-device AI tasks. One of the primary challenges in this context is the retraining process of these models on IoT and mobile devices with new data, which is constrained due to limited processing power. This limitation hinders the generation of accurate domain-specific inference results, as models may not be as well-trained with real-world data, potentially reducing their predictive accuracy and generalizability when applied to practical scenarios. © 2023 IEEE.

关键词： Machine learning

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KruCode: An Online Learning Programming Platform for Programming Course 27

KruCode: An Online Learning Programming Platform for Program...

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27th International Computer Science and engineering Conference, ICSEC 2023

作者： Phakdee, Nuttaporn Pianprasit, Peerasak Burapha University Software Engineering Faculty of Informatics Chonburi Thailand

ISBN: (纸本)9798350342109

Programming is a fundamental aspect of engineering and science that requires both knowledge and skills in programming. It is generally accepted that the more learners practice programming, the better their skills are. The online learning platform KruCode has been specifically designed using the Minimum Viable Product (MVP) method for programming courses. It is utilized by students to practice their coding abilities online, while instructors employ it to manage tags, coding questions, assignments, and exams in their classes. When code is submitted by students, it is promptly evaluated by KruCode to verify the presence of syntax mistakes. Students' error messages can be displayed in the system, and their work can be immediately guided. This information was beneficial for beginner students to learn coding and debugging. Students will also see their programming results as covered by the given test cases. However, other features should be developed, such as a dashboard and problem suggestion function, and increase safety for exams. © 2023 IEEE.

关键词： Students

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Fine-Tuning GPT-4o-Mini for Programming Questions Generation

Fine-Tuning GPT-4o-Mini for Programming Questions Generation

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2024 International Conference on Computer and Applications, ICCA 2024

作者： Hesham, Alaa Hamdy, Abeer The British University in Egypt Faculty of Informatics and Computer Science Department of Software Engineering Cairo Egypt

ISBN: (纸本)9798350367560

Creating programming questions that are both meaningful and educationally relevant is a critical task in computer science education. This paper introduces a fine-tuned GPT4o-mini model (C2Q). It is designed to generate meaningful questions by leveraging semantic feature extraction and well- crafted prompts. The approach addresses the limitations of traditional generative models, offering a deeper understanding of programming code and producing questions that are precise, diverse, and relevant to a given code snippets. The proposed framework incorporates essential code elements, such as control structures and method attributes, to generate questions that align with programming concepts. Evaluation metrics used were BLEU, ROUGE-1, and ROUGE-L to evaluate the model's performance. The findings reveal that the model achieves better structural coherence and conceptual relevance while focusing on contextual understanding over exact term matching. This work highlights the potential of the proposed approach to advance teaching and assessment methods in computer science. © 2024 IEEE.

关键词： Program processors

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Learning Deterministic Multi-Clock Timed Automata 27

Learning Deterministic Multi-Clock Timed Automata

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27th ACM International Conference on Hybrid Systems: Computation and Control, HSCC 2024

作者： Teng, Yu Zhang, Miaomiao An, Jie School of Software Engineering Tongji University Shanghai China National Institute of Informatics Tokyo Japan

ISBN: (纸本)9798400705229

We present an algorithm for active learning of deterministic timed automata with multiple clocks. The algorithm is within the querying framework of Angluin’s L* algorithm and follows the idea proposed in existing work on the active learning of deterministic one-clock timed automata. We introduce an equivalence relation over the reset-clocked language of a timed automaton and then transform the learning problem into learning the corresponding reset-clocked language of the target automaton. Since a reset-clocked language includes the clocks reset information which is not observable, we first present the approach of learning from a powerful teacher who can provide reset information by answering reset information queries from the learner. Then we extend the algorithm in a normal teacher situation in which the learner can only ask standard membership query and equivalence query while the learner guesses the reset information. We prove that the learning algorithm terminates and returns a correct deterministic timed automaton. Due to the need of guessing whether the clocks reset at the transitions, the algorithm is of exponential complexity in the size of the target automaton. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Clocks

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A fuzzy method of recognizing color label for controlling the movement of actuators the mechatronic complex

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Journal of Ambient Intelligence and Humanized Computing 2023年第12期14卷 16949-16959页

作者： Bobyr, Maxim Milostnaya, Natalia Department of Software Engineering Faculty of Fundamental and Applied Informatics Southwest State University 50 let Oktyabrya Kursk305000 Russia

The hardware and software model for controlling the movement of actuators in the mechatronic complex based on a fuzzy method of recognizing the color label is presented in the article. The main task of this complex is to capture moving objects in real-time. Fixation of objects is carried out in two modes: manual and automatic. In manual mode, the grip is carried out by the operator. In automatic mode, a set of magnetic sensors is used for fixation, which monitors the location of the actuators of the mechatronic complex and a laser sensor or technical vision system that determines the location of the moving object. The main problem in the automatic mode is to determine the moment at which the axes of the moving object and the gripper are aligned. A fuzzy model for determining the time of the moment of alignment of two axes was developed in the article to solve this problem. Also, a fuzzy method of recognizing a color label based on the approach of area’s ratio is shown in the article. The novel contribution of a proposed method is the fuzzy segmentation scheme used for detecting the colored mark by image processing. A distinctive feature of a defuzzification model is the usage of a universal formula to find the area of geometric shapes. As a result, the time of defuzzification was reduced to 65 ns. It allows to use the proposed method in real-time systems, for example, in video processing systems with resolutions 1024 × 768 and 25 fps. The article presents a numerical simulation of the process of fixing a moving object, which confirms the effectiveness of the proposed solution. © 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Fuzzy logic

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