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TechRxiv 2021年

作者： Singh, Nehul Chouhan, Satyendra Singh Verma, Karan Department of Computer Science and Engineering IIIT Sricity Chittoor India Department of Computer Science and Engineering MNIT Jaipur India Department of Computer Science and Engineering NIT Delhi India

This article reviews and discusses emerging applications of object-oriented programming languages. A history in brief on development of object-oriented analysis and methods eventually leading for important soft programming techniques are discussed. Emphasis mainly is given to discuss and differentiate popular object-oriented programming languages such as;C++, Python and Java. The pros and cons of these programming languages are also highlighted in view of their futuristic developments and possible application areas. © 2021, CC BY.

关键词： object oriented programming

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Employing the Message Paradigm to Ease Learning object-oriented Concepts and programming 47

Employing the Message Paradigm to Ease Learning Object-orien...

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47th ICT and Electronics Convention, MIPRO 2024

作者： Flatscher, Rony G. Winkler, Till Vienna University Of Economics And Business Vienna Austria

ISBN: (纸本)9798350382495

Many popular object-oriented languages like Java, Python, C# support concepts introduced by Smalltalk but lack its message paradigm. Teaching novices programming in these popular languages, therefore, cannot take advantage of the message paradigm to ease and to speed up learning object-oriented programming. This article introduces and discusses the message paradigm in the context of successfully teaching object-oriented programming to business administration (BA) novices in a single semester. The messaging paradigm, as implemented in the open object Rexx (ooRexx) programming language, makes it easy for novices to interact with Windows objects via object linking and embedding (OLE) and fully utilize the Java runtime environment (JRE). The most important concepts of the ooRexx programming language are introduced and demonstrated using nutshell examples. Furthermore, observed challenges in teaching object-oriented programming are presented and advice for educators in the field of programming is given. © 2024 IEEE.

关键词： object oriented programming

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Block-Based object-oriented programming

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IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES 2022年第4期15卷 439-453页

作者： Allen, Oliver Downs, Xavier Varoy, Elliot Luxton-Reilly, Andrew Giacaman, Nasser Univ Auckland Dept Elect Comp & Software Engn Sch Comp Sci Auckland 1010 New Zealand

object-oriented programming (OOP) is not only an integral part of computing degrees but also a requirement in non-computing majors such as engineering. Understanding OOP concepts can be difficult for novice programmers, and often leads to the development of misconceptions. This is exacerbated when the discipline requires students to learn a technical low-level language such as C++, as is the case in many engineering disciplines. We propose a block-based programming language extension, Blockly-OOP, to help students learn core OOP concepts without the technical complexities associated with traditional textual languages. The Blockly-OOP Learning Environment was developed by integrating Blockly-OOP with learning activities that guide students through programming exercises that target popular OOP misconceptions. An evaluation (n = 238) in a second-year programming course (CS2) showed that a block-based programming language helps students improve their understanding of object-oriented concepts, warranting further research in this area.

关键词： programming programming profession Computer languages Visualization Education C plus plus languages Java Computer science computer science education computers and information processing education engineering education educational technology object oriented programming programming

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Analysis of Solution Results of Code Writing Problems for Basic object-oriented programming Study in University Java programming Course 12

Analysis of Solution Results of Code Writing Problems for Ba...

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12th International Conference on Information and Education Technology, ICIET 2024

作者： Wai, Khaing Hsu Funabiki, Nobuo Aung, Soe Thandar Hashimoto, Ryo Yokoyama, Daiki Kao, Wen-Chung Okayama University Dept. Of Information And Communication Systems Okayama Japan National Taiwan Normal University Department Of Electrical Engineering Taipei Taiwan

ISBN: (纸本)9798350371772

To support novice students in learning Java programming, we have implemented the web-based Java programming Learning Assistant System (JPLAS). In JPLAS, one of the implemented exercise problems is the Code Writing Problem (CWP), where students are tasked with crafting a source code capable of passing provided test cases. The accuracy of the answer code is verified by executing it on JUnit. Previously, we generated seven CWP instances accompanying with test codes, focusing on six fundamental object-oriented programming (OOP) concepts. These assignments were intended for use in a Java programming course at Okayama University, where OOP is a crucial topic. Despite their relevance, these assignments were not assigned to students for completion. In this paper, we present an analysis of the solution results obtained from the CWP instances. Our findings indicate that the students demonstrated a comprehensive understanding of basic OOP concepts, as the majority of them successfully solved all the generated instances and achieved a 100% correct rate. Only three students did not complete all the instances. Based on these results, we conclude that the proposed approach is valid and effective in facilitating student learning of OOP concepts. © 2024 IEEE.

关键词： object oriented programming

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Web 4.0 Tools Applied to Improve Collaborative Learning in object-oriented programming

Web 4.0 Tools Applied to Improve Collaborative Learning in O...

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Multidisciplinary International Conference of Research Applied to Defense and Security, MICRADS 2023

作者： Ibarra-Torres, Fernando Caiza, Gustavo Garcia, Marcelo V. Barona-Pico, Valeria Universidad Técnica de Ambato UTA Ambato180103 Ecuador Universidad Politécnica Salesiana UPS Quito170146 Ecuador

ISBN: (纸本)9789819988938

In order to seek better academic practices and improve the quality of university education in Ecuador, the Faculty of Accounting and Auditing and the Faculty of Systems, Electronics and Industrial Engineering of the Technical University of Ambato, Tungurahua—Ecuador, are integrating a research project for the use of Web 4.0 tools in academic work to promote collaborative learning among students taking as an experimental case the subject of object oriented programming, taught in the Software Career of the Faculty of Systems, Electronics and Industrial Engineering. The purpose of this research is to evaluate the use and application of Web 4.0 tools in the collaborative learning process in the academic years 2020 and 2021. Our research is descriptive in nature and is methodologically framed in a mixed and cross-sectional approach. The sample consists of 1 career coordinator, 4 teachers and 147 object oriented programming students in the mentioned years. The main findings show the first steps to integrate Web 4.0 tools in the collaborative learning process in university education in Ecuador. However, as an important aspect to be highlighted, we found the lack of support to improve the technological infrastructure;in addition to training on the use and application of Web 4.0 tools in order to seek innovation with them. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： object oriented programming

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OOP: object-oriented programming Evaluation Benchmark for Large Language Models 62

OOP: Object-Oriented Programming Evaluation Benchmark for La...

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Findings of the 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024

作者： Wang, Shuai Ding, Liang Shen, Li Luo, Yong Du, Bo Tao, Dacheng Institute of Artificial Intelligence School of Computer Science Wuhan University China Hubei Luojia Laboratory Wuhan China The University of Sydney Australia School of Cyber Science and Teachnology Sun Yat-sen University China College of Computing & Data Science Nanyang Technology University Singapore

ISBN: (纸本)9798891760998

Advancing automated programming necessitates robust and comprehensive code generation benchmarks, yet current evaluation frameworks largely neglect object-oriented programming (OOP) in favour of functional programming (FP), e.g., HumanEval and MBPP. To address this, (1) our study introduces a pioneering OOP-focused benchmark, featuring 431 Python programs that encompass essential OOP concepts and features like classes and encapsulation methods. (2) We propose a novel evaluation metric, pass@o, tailored for OOP, enhancing traditional pass@k metric. (3) Our evaluation of 23 leading large language models (LLMs), including both general and code-specialized models, reveals three key insights: 1) pass@o offers a more relevant and comprehensive assessment for OOP code generation;2) Despite excelling in FP, code-specialized LLMs like WizardCoder lag in OOP compared to models like ChatGPT;3) The poor performance of all advanced LLMs on our OOP benchmark highlights a critical need for improvements in this field. Our benchmark and scripts are publicly released at: https://***/alphadl/OOP-eval. © 2024 Association for Computational Linguistics.

关键词： object oriented programming

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How Proficient Is Generative AI in an Introductory object-oriented programming Course? 17

How Proficient Is Generative AI in an Introductory Object-Or...

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17th International Conference on Computer Supported Education, CSEDU 2025

作者： Lepp, Marina Kaimre, Joosep Institute of Computer Science University of Tartu Narva mnt 18 Tartu Estonia

ISBN: (纸本)9789897587467

In 2022, the release of ChatGPT marked a significant breakthrough in Artificial Intelligence (AI) chatbot usage, particularly impacting computer science education. AI chatbots can now generate code snippets, but their proficiency in solving various tasks remains debated. This study examines how well AI-based chatbots, including ChatGPT and Microsoft Copilot, perform in solving tasks in the "object-oriented programming" course. Both tools were tested on multiple programming tasks and exam questions, with their results compared to those of students. Currently, ChatGPT-3.5 performs below the average student, while Copilot is on par. The chatbots performed better on introductory topics, though their performance varied as task difficulty increased. They also fared better on longer programming test tasks than on shorter exam tasks. A common error was failing to provide all possible solutions and misinterpreting implied requirements. Despite these challenges, both AI tools are capable of passing the course. These findings offer valuable insights for programming instructors by highlighting the strengths and weaknesses of AI chatbots, helping guide potential improvements in computer science education. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： object oriented programming

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Faulty Classes Prediction in object-oriented programming Using Composed Dagging Technique 3

Faulty Classes Prediction in Object-Oriented Programming Usi...

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3rd International Conference on Electrical, Computer and Communication Engineering, ECCE 2023

作者： Mahfuz, Nagib Shill, Pintu Chandra North Western University Dept. of Computer Science and Engineering Khulna Bangladesh Khulna University of Engineering and Technology Dept. of Computer Science and Engineering Khulna Bangladesh

ISBN: (纸本)9798350345360

Class is one of the fundamental concepts of the object-oriented paradigm and has been scrutinized since the developers moved on from procedural programming design. In software fault prediction, the legalization of software metrics is essential. As a handful of software metrics suites exist, it is a very hard task to predict the defective classes flawlessly using a particular set of metrics suites. However, it is a rational approach to use only the object-oriented metrics that are directly relatable to the class definitions in the code that helps the developers foresee the errors in defining the classes and minimize the errors as much as possible. This paper utilized twelve object-oriented metrics selected from various metrics suites. The dagging ensemble model is merged with three well-known classification algorithms (Naive Bayes, Multilayer Perceptron, J48 Decision Tree) individually and applied to twelve java projects. The study depicts that the proposed ensemble method gives improved outcomes that are statistically significant when merged with Naive Bayes and Multilayer Perceptron. The proposed ensemble method shows improvements up to 12.5% in accuracy and 15% in F-Score. © 2023 IEEE.

关键词： object oriented programming

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Assessment of Learning Outcomes in the (Java) object-oriented programming Courses 11

Assessment of Learning Outcomes in the (Java) Object-Oriente...

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11th International Conference on Information and Education Technology, ICIET 2023

作者： Biskupic, Ivana Ogrizek Radovan, Aleksander Lopatic, Josip ALGEBRA University College Zagreb Croatia ALGEBRA University College and University of Applied Sciences VELIKA GORICA Velika Gorica Zagreb Croatia University of Applied Sciences VELIKA GORICA Velika Gorica Croatia

ISBN: (纸本)9781665465489

The aim of this paper is to obtain students' review on the possible difficulties and workload when mastering the prescribed learning outcomes in object-oriented programming courses based on the JAVA™ programming language. The results of this measurement provide a basis for a possible revision of scheduled hourly rate and consequently ECTS points required for students to achieve the prescribed learning outcomes regarding ESG 2015 guidelines for QA. Perennial experience in teaching indicate that object-oriented programming courses are one of the most demanding in mastering the subject material at the undergraduate level (6 EQF), which is why authors have conducted a survey as part of the JAVA™ course before the final exam at 4 different higher education institutions in the Republic of Croatia. On a scale from 1 to 5 (5 being the highest), students have assessed the difficulty in achieving each learning outcome and also the subjects/topics taught in the course. The results of the survey were compared with the passing results in the summer exams period (academic year 2021/2022 as an additional variable test of the obtained answers). The authors present the summary of their results and provide the conclusion in the context of the subject and course revision regarding curriculum and subject oriented student workload. © 2023 IEEE.

关键词： object oriented programming

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super-Charging object-oriented programming Through Precise Typing of Open Recursion 37

super-Charging Object-Oriented Programming Through Precise T...

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37th European Conference on object-oriented programming, ECOOP 2023

作者： Fan, Andong Parreaux, Lionel Hong Kong

ISBN: (纸本)9783959772815

We present a new variation of object-oriented programming built around three simple and orthogonal constructs: classes for storing object state, interfaces for expressing object types, and mixins for reusing and overriding implementations. We show that the latter can be made uniquely expressive by leveraging a novel feature that we call precisely-typed open recursion. This features uses "this" and "super" annotations to express the requirements of any given partial method implementation on the types of respectively the current object and the inherited definitions. Crucially, the fact that mixins do not introduce types nor subtyping relationships means they can be composed even when the overriding and overridden methods have incomparable types. Together with advanced type inference and structural typing support provided by the MLscript programming language, we show that this enables an elegant and powerful solution to the Expression Problem. © Andong Fan and Lionel Parreaux

关键词： object oriented programming

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