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检索条件"任意字段=1st International Conference on the Art, Science and Engineering of Programming, Programming 2017"

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1st international conference on Frontiers in Software engineering, ICFSE 2021

1st International Conference on Frontiers in Software Engine...

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1st international conference on Frontiers in Software engineering, ICFSE 2021

ISBN: (纸本)9783030931346

The proceedings contain 13 papers. The special focus in this conference is on Frontiers in Software engineering. The topics include: Software engineering as an Alchemical Process: Establishing a Philosophy of the Discipline;toward Inclusion of Children as Software engineering stakeholders;a Meta-analytical Comparison of Energy Consumed by Two Different programming Languages;"Extreme Development" as a Means for Learning Agile;development of a Method and a Software for Decision-Making, System Modeling and Planning of Business Processes;institutional Commitment and Leadership as Prerequisites for Successful Comprehensive internationalization;preface;an Analysis of the Sensitivity of Software Reliability Growth Models Using Bootstrap and Monte Carlo Simulations;Evolution of Information System Design Methodologies: The IFIP conference Management Problem Revisited;Impact of the Communication Issues: A Case study of IT start-Up;skills Development Through Agile Capstone Projects.

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Automatic programming vs. artificial Intelligence 1

Automatic Programming vs. Artificial Intelligence

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1st international conference on AI-Powered Software (AIware)

作者： Noble, James Creat Res & Programming Wellington New Zealand Australian Natl Univ Canberra ACT Australia

ISBN: (纸本)9798400706851

Ever since we began programming in the 1950s, there have been two diametrically opposed tendencies within computer science and software engineering: on the left side of the Glorious Throne of Alan Turing, the tendency to perfect the art of Computer programming, and on the right side, the tendency to end it. These tendencies can be seen from the Manchester Mark I's "autocode" removing the need for programmers shortly afterWW2, COBOL being a language that could be "read by the management";to contemporary "no-code" development environments;and the idea that large language models herald "The End of programming". This vision paper looks at what AI will not change about software systems, and the people who must use them, and necessarily must build them. Rather than neglecting 50 years of history, theory, and practice, and assuming programming can, will, and should be ended by AI, we speculate on how AI has, already does, and will continue to perfect one of the peak activities of being human: programming.

关键词： programming Software engineering artificial Intelligence AIware Vapourware Vapeware

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Go vs. Java: A Detailed Performance Analysis in Concurrent programming 1

Go vs. Java: A Detailed Performance Analysis in Concurrent P...

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1st IEEE international conference on Advances in Computing, Communication and Networking, ICAC2N 2024

作者： Morshed, Md. Neaz Roy, Prince MMDU Computer Science and Engineering Haryana India Fairleigh Dickinson University Applied Computer Science Vancouver Canada

ISBN: (纸本)9798350356816

Go, a programming language developed by Google, is relatively new but offers modern and powerful features, including similarities to Java and an emphasis on rapid development and concurrency. This paper examines Go's performance compared to Java, focusing on compile time and concurrency. As applications increasingly require concurrent data transmission, there is a strong demand for languages optimized for such tasks. Although many studies compare programming languages, few specifically investigate Go, and some of these evaluations are based on its experimental release. In this paper, we analyze the concurrency features of Go and Java through a comprehensive performance analysis, considering their runtime, memory usage, and unique concurrency *** analyze concurrency features, we implemented CRUD operations on a single MySQL table using both Go and Java programs. Go utilizes its built-in lightweight thread, Goroutine, while Java uses Java Thread. We conducted our experiments by running the programs a thousand times and analyzed the resulting data using various statistical parameters and graphs. © 2024 IEEE.

关键词： Java programming language

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Open Market: A Proposal To Improve Engagement and Motivation Among students Towards Basic programming Subjects 1

Open Market: A Proposal To Improve Engagement and Motivation...

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1st international conference on Advanced Computing and Emerging Technologies, ACET 2024

作者： Kumar, Vinesh Pandey, Vartika Maurya, Jay Prakash Shrivastava, Abhishek Vit Bhopal University School of Computing Science and Engineering M.P Sehore466114 India Vit Bhopal University School of Mechanical Engineering M.P Sehore466114 India

ISBN: (纸本)9798350367720

Gamification can be applied to grab the attention of people in wide range of environments. This work sheds light upon the prospects of its application in classroom to deliver the education related to computer programming is called 'Open Market'. To study the impact upon students after applying this strategy, the level of motivation, engagement and learning were explored. This paper proposed a novel engagement model to improve learning level in student and comp are the impact of gamification method from traditional methods in terms of assessment methods for 'Open Market'. This paper also encourages student's agenda in student learning process by analyzing standard deviation in learning in number of parameters like age, subject, motivation type, and intrinsic method for engagement in programming subjects like C, C++, Python, Java etc. The outcome of the study contends in the support of open market strategy to be indulged in the teaching and learning mechanism. © 2024 IEEE.

关键词： students

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Optimization Techniques for the Traveling Salesman Problem: A study of Conglomerate of Algorithmic Approaches 1

Optimization Techniques for the Traveling Salesman Problem: ...

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1st international conference for Women in Computing, InCoWoCo 2024

作者： Niharika, Yamini Akhila, Thirumalaraju Vaishnavi, Vemula Sahay, Apurvanand Amrita School of Computing Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Bangalore India

ISBN: (纸本)9798331518943

This project investigates Python to study the Traveling Salesman Problem (TSP) and looks at five different algorithms that can be implemented: Brute Force, Greedy, Genetic, Dynamic programming, and Divide and Conquer. Locating the shortest path that makes accurate stops in each city before returning to the origin city is the task assigned to the TSP. In order to identify the best solution, the Brute Force algorithm thoroughly looks through every combination of city sequences. The nearest unexplored city is chosen at each stage via the Greedy Algorithm, in contrast, which makes locally optimal decisions. By applying genetic operators like crossover and mutation, genetic algorithms generate new generations of possible paths by iteratively improving existing ones, mimicking the principles of natural selection. To cut down on unnecessary computations, dynamic programming divides the problem into smaller subproblems and stores the answers. © 2024 IEEE.

关键词： Genetic algorithms

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Need for Fraction module in Python: An Approach with Benefits 1

Need for Fraction module in Python: An Approach with Benefit...

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1st IEEE international conference on Advances in Computing, Communication and Networking, ICAC2N 2024

作者： Singh, Hare Ram Pal Singh, Satya Gochhait, Saikat Singh, Pardeep Malik, Suraj IIMT College of Engineering Department of Information Technology Uttar Pradesh Greater Noida India Constituent of Symbiosis International Deemed University Symbiosis Institute of Digital and Telecom Management Pune India Guru Tegh Bahadur 4th Centenary Engineering College Department of Computer Science and Engineering New Delhi India IIMT University Department of Computer Science and Engineering Uttar Pradesh Meerut India

ISBN: (纸本)9798350356816

Fractions are always better calculated for judgment of precise and accurate value. Sometimes division may yield particulars in decimal form, there the importance of the fraction comes with its own value. The current market works or moves primarily on absolute or estimated prices in most cases or calculations. To complete calculations, the required fractions must produce accurate predicted values every time, so technology for better measurement will have importance of fractions in every calculation. In most technology, fraction is still in use such as where Decimal Portal does not work. So, the programming language also needs to be modified with this function to mold all the libraries useful for the upcoming developers who are working on the programming languages for more development in technology. The main purpose of this paper is to spread knowledge about the importance of fractions, and to explain why everyone needs to introduce it into the defined library of running software. © 2024 IEEE.

关键词： Python

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Analyzing Forecasting Techniques for Optimizing Flow Releases in Multi-storage Systems for Flood Mitigation 1

Analyzing Forecasting Techniques for Optimizing Flow Release...

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1st international conference on Trends in engineering Systems and Technologies, ICTEst 2024

作者： Ananthan, Aswathy Jose, Y. stalin Noorul Islam Centre for Higher Education Department of Civil Engineering Tamil Nadu India

ISBN: (纸本)9798350307795

As floods become more frequent and severe globally, effective flood control measures are essential for mitigating the impacts of such events. Multi-storage systems, consisting of multiple reservoirs or storage facilities, offer a viable approach for managing floodwaters. However, determining the optimal flow releases from these systems to minimize flood risks requires accurate forecasting techniques. The review surveys relevant studies and research articles that focus on the forecasting of optimal flow releases in multi-storage systems for controlling floods. It examines various forecasting methods and models used in the literature, such as linear programming, dynamic programming, genetic algorithms, and particle swarm optimization. The strengths, limitations, and applications of these techniques are assessed, considering factors such as accuracy, lead time, and the ability to incorporate system constraints. This paper highlights the importance of accurate flow release forecasting for effective flood control in multi-storage systems. It identifies gaps and challenges in the previous works and suggests areas for further exploration. The outcomes of this review advance our knowledge of the state of the art in forecasting optimal flow releases for flood control in multi-storage systems, providing valuable insights for researchers, practitioners, and decision-makers involved in water resources management and flood risk reduction. © 2024 IEEE.

关键词： Flood control

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Topic Relation Graph Construction to Identify Challenges in Introducing programming in Indonesian K-12 Education 1

Topic Relation Graph Construction to Identify Challenges in ...

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1st IEEE international conference on Smart Technology, ICE-SMartec 2023

作者： Ayub, Mewati Karnalim, Oscar Toba, Hapnes Wijanto, Maresha Caroline Dulimarta, Hans Saputra, Williyandie Kotambunan, Tabitha Emanuella Master Program of Computer Science Maranatha Christian University Bandung Indonesia Ewha Womans University Dept. of Computer Science and Engineering Seoul Korea Republic of School of Computing Grand Valley State University MI United States Informatics Engineering Maranatha Christian University Bandung Indonesia

ISBN: (纸本)9798350306156

programming can help K-12 students to develop their 21st-century core skills. Despite the benefits, programming is not common to be delivered in Indonesian K-12 education. There is a need to understand potential challenges in introducing programming to K-12 students. We developed a questionnaire survey covering four identified dimensions of challenges: administrative, facilities, teachers, and students. We also asked about common programming assessments and their preferred software features for teaching programming. Forty K-12 teachers were invited to complete the survey. The responses were analyzed with thematic analysis using a bigram-based Latent Dirichlet Allocation topic modeling and descriptive statistics. Our study shows that the challenges include limited learning modules, an insufficient number of computers, limited programming skills, and limited computational thinking skills. Scratch was the most common programming language used and many programming assessments were about debugging a program or writing a small program. Visualization and animation can be helpful in teaching programming. © 2023 IEEE.

关键词： students

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Exploring SVM Kernel and Voting Classifiers for Malware Classification in Android Permission Systems 1

Exploring SVM Kernel and Voting Classifiers for Malware Clas...

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1st international conference on Innovations in Communications, Electrical and Computer engineering, ICICEC 2024

作者： Singh, Gurdeep Mittal, Sonam Singh, Preet Chitkara University Department of Electronics and Communication Engineering Rajpura India Chitkara University Department of Computer Science and Engineering Rajpura India

ISBN: (纸本)9798350376517

Sometimes referred to as hostile software, malware is a subset of programming codes aimed to exploit weaknesses in computer system security. Not only through data theft but also by letting Distributed Denial of Service (DDoS) attacks, malware seriously threatens companies. Nowadays, machine learning is a required technique for spotting these threats since the diversity and volume of malware keep increasing. This study aims to determine whether an application device's requested rights are benign or questionable. In performance analysis, the Voting Classifier (VC) ensemble approach was better than the Support Vector Machine (SVM) algorithm with an accuracy rating of 97.9%. Anti-malware preventive measures support the guarantee of safe digital surroundings. © 2024 IEEE.

关键词： Android malware

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Development of Weather Forecast Application using API 1

Development of Weather Forecast Application using API

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1st IEEE international conference on Advances in Computing, Communication and Networking, ICAC2N 2024

作者： Chadha, Shikha Gupta, Neha Chauhan, Rosey Sharda University Department of Computer Science Engineering Greater Noida India ABES Engineering College Ghaziabad India

ISBN: (纸本)9798350356816

This research paper presents the development of a weather forecasting model that incorporates real-time data through Application programming Interfaces. This model utilises simple algorithms to analyse meteorological parameters from diverse API data sources, aiming to improve forecast accuracy compared to traditional methods. Extensive datasets are used for training and validation, demonstrating the model's effectiveness in providing more precise predictions. The study highlights the significance of API integration in advancing weather forecasting methodologies and fostering innovation in the field. The model created has yielded highly reliable results with minimal error. © 2024 IEEE.

关键词： Prediction models

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