The aim of this paper is to present SymPyCAP software for the symbolic analysis of linear time-invariant electric circuits. This software is written in Python and uses modified nodal analysis to solve equations in Lap...
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A CAPTCHA is used to reduce the misuse in the case of rising automated bots or software systems and also to avoid any corruption of the web services. The Captcha is used as solving a turing test problem by the users, ...
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software fault localization is a critical task which identify the faulty statements in a program. Traditional fault localization techniques are unable to capture complex relationships within program execution data. In...
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Learning management systems (LMSs) are established tools in higher education, especially in the field of softwareengineering (SE). The onset of the COVID-19 pandemic further amplified the utilization of these systems...
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ISBN:
(纸本)9798400704987
Learning management systems (LMSs) are established tools in higher education, especially in the field of softwareengineering (SE). The onset of the COVID-19 pandemic further amplified the utilization of these systems, which necessitated their integration into educational curricula for both lecturers and students. However, adopting LMSs within Si) education has presented distinctive challenges impeding their seamless incorporation into the courses. This paper aims to scrutinize the challenges and requirements encountered by professors, lecturers, and students in the domain of SE education when using LMSs. We conducted an empirical study that included (i) a survey with 47 professors/lecturers and 133 students, (ii) an analysis of the ensuing data, and (iii) 18 additional interviews conducted with professors and lecturers to delve into nuanced variations in viewpoints. The findings derived from our study reveal that the challenges and requirements pertaining to LMSs are rather specific depending on the scope and size of the respective courses. Nevertheless, many participants have a consensus on numerous challenges and requirements for improving certain features of LMSs in order to improve their usage in SE education. The findings are valuable for advancing research and development in the field of LMSs and provide guidance for lecturers in SE education.
Data mining and knowledge discovery are essential aspects of extracting valuable insights from vast datasets. Neural topic models (NTMs) have emerged as a valuable unsupervised tool in this field. However, the predomi...
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Many applications have implementations in different languages. Although their languages are different, they can implement similar or even identical functionalities. If an implementation has a bug, the other implementa...
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Teaching applied courses like softwareengineering and database systems can be more effective when using real world problems as project topics. Right after students have been exposed to basic concepts and development ...
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Assertions are a crucial aspect of software development, serving as a way to validate conditions during code execution. They are expressed as Boolean expressions that must hold true for the code to run correctly and e...
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The numerical simulation technology is mainly through the computational fluid dynamics (CFD) method, which can quickly and accurately simulate the aerodynamic performance of the vehicle at a specific speed, such as ai...
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Unlike traditional networks, software-defined networks (SDNs) provide an overall view and centralized control of all the devices in the network. SDNs enable the network administrator to implement the network policy by...
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