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2021 9th International Conference in Software Engineering Research and Innovation (CONISOFT)最新文献

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Towards Automatic Interpretation Of Statistical Graphs For The Visually Impaired 为视障人士提供统计图形的自动解释
Pub Date : 2021-10-01 DOI: 10.1109/CONISOFT52520.2021.00033
Santiago Figueroa-Gutiérrez, L. G. Montané-Jiménez, Juan Carlos Pérez-Arriaga, J. Rojano-Cáceres, G. Toledo-Toledo
Statistical graphs, as visual representations of quantitative data, are usually not able to be processed by assistive technologies. Thus, when a user with visual impairment intends to access the information contained in these visual representations, he has to resort to the use of screen readers. But such tools only transmit the adjacent information of the image, without performing image processing to generate an interpretation of the data contained. To tackle such problem, a conceptual and functional architecture is proposed considering the use of image processing techniques to extract in an automated way the information of a statistical graphs under an image format, generating a description accessible to users with visual impairment. To support it, it is carried out research on related work in image processing to identify relevant elements in a chart, as well as advantages and disadvantages of assistive technologies. With the results obtained, it is observed that there is an increase in the use of assistive technologies based on the sonification of textual and graphic elements to transmit information to users with visual disabilities through the use of Web platforms.
统计图形作为定量数据的可视化表示,通常无法通过辅助技术进行处理。因此,当有视觉障碍的用户想要访问这些视觉表示中包含的信息时,他必须使用屏幕阅读器。但是,这些工具仅传输图像的相邻信息,而不进行图像处理以对所包含的数据进行解释。为了解决这一问题,提出了一种概念和功能架构,考虑使用图像处理技术以自动方式提取图像格式下的统计图形信息,生成视觉障碍用户可访问的描述。为了支持它,对图像处理中的相关工作进行了研究,以识别图表中的相关元素,以及辅助技术的优缺点。根据所得的结果,我们观察到越来越多的人使用基于文本和图形元素的声音的辅助技术,通过使用Web平台向视障用户传递信息。
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引用次数: 1
Use of Techno-Pedagogical Tools to Incorporate Remote Collaboration in a Data Structure Course 使用技术教学工具在数据结构课程中整合远程协作
Pub Date : 2021-10-01 DOI: 10.1109/CONISOFT52520.2021.00039
Enríquez Ramírez Carlos, Raluy Herrero Mariza, Luz María Vega Sosa
Traditionally, teaching-learning activities in typical schools in most of the states in the Mexican Republic have been face-to-face interactions between students and learning facilitators, but obviously, in 2020, everything changed, so that educational videoconferencing will gain ground in the academic world. Participation in solving individual and / or group problems was adapted to a remote scheme, stimulating the use of different skills in students to face the new normal, as is the case in the development of remote programming projects for the purpose of training novice programmers to solve problems collaboratively, going through the entire global software development process. To do so, it is necessary to incorporate skills that allow them to adapt this work philosophy, which is why in this work the use of competencies that allows to detonate social and cognitive aspects in the development of software in small teams was evaluated, as well as the frequency of use. It is also important to determine if the gender has any influence on the adoption of a certain trait. For this, groups of students were trained by developing computational problems in the field of data structure.
传统上,墨西哥共和国大多数州的典型学校的教学活动是学生和学习促进者之间的面对面互动,但显然,在2020年,一切都改变了,因此教育视频会议将在学术界取得进展。参与解决个人和/或团体问题的方式适应了远程计划,激发学生运用不同的技能来面对新常态,就像开发远程编程项目一样,目的是培训新手程序员协作解决问题,贯穿整个全球软件开发过程。要做到这一点,有必要将允许他们适应这种工作哲学的技能结合起来,这就是为什么在这项工作中,评估了在小型团队的软件开发中允许引爆社会和认知方面的能力的使用,以及使用的频率。同样重要的是要确定性别是否对某一特征的采用有任何影响。为此,学生小组通过开发数据结构领域的计算问题进行训练。
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引用次数: 1
Software Design and Artificial Intelligence: A Systematic Mapping Study 软件设计与人工智能:系统的映射研究
Pub Date : 2021-10-01 DOI: 10.1109/CONISOFT52520.2021.00028
Alfonso Robles-Aguilar, J. O. Ocharán-Hernández, Á. Sánchez-García, X. Limón
Software Design (SD from now on) is a critical process in the Software Development Life Cycle. Like all processes, there is a constant search for the improvement of SD activities. Artificial Intelligence (AI) has proven to be an effective tool to perform activities of any kind, this includes SD assisting. This study presents the state of the art related to the application of AI techniques in SD activities, in order to achieve this goal, we carried out a systematic mapping study consisting of 36 papers. The studies reported the use of 28 AI techniques, such as Neural Networks and Decision Trees; considering 20 SD activities, like diagram generation and design pattern detection. The inclusion of AI techniques in SD is an increasing trend in software development. The collected studies demonstrate the effectiveness of This inclusion, showing successful applications, which in turn may create more interest in the coupling of AI and SD in further studies.
软件设计(SD)是软件开发生命周期中的一个关键过程。像所有的过程一样,持续不断地寻求可持续发展活动的改进。人工智能(AI)已被证明是一种有效的工具,可以执行任何类型的活动,包括SD协助。本研究介绍了人工智能技术在可持续发展活动中的应用现状,为了实现这一目标,我们进行了一项由36篇论文组成的系统测绘研究。这些研究报告了28种人工智能技术的使用,如神经网络和决策树;考虑20个SD活动,如图表生成和设计模式检测。在SD中包含AI技术是软件开发的一个日益增长的趋势。收集的研究证明了这种纳入的有效性,展示了成功的应用,这反过来又可能在进一步的研究中引起对人工智能和SD耦合的更多兴趣。
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引用次数: 0
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2021 9th International Conference in Software Engineering Research and Innovation (CONISOFT)
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