2020 XLVI Latin American Computing Conference (CLEI)最新文献_第3页

Measuring students' contributions in software development projects using Git metrics 使用Git指标衡量学生在软件开发项目中的贡献

2020 XLVI Latin American Computing Conference (CLEI) Pub Date : 2020-10-01 DOI: 10.1109/CLEI52000.2020.00068

Sivana Hamer, Christian Quesada-López, Alexandra Martínez, Marcelo Jenkins

{"title":"Measuring students' contributions in software development projects using Git metrics","authors":"Sivana Hamer, Christian Quesada-López, Alexandra Martínez, Marcelo Jenkins","doi":"10.1109/CLEI52000.2020.00068","DOIUrl":"https://doi.org/10.1109/CLEI52000.2020.00068","url":null,"abstract":"Many courses in the software engineering area are centered around team-based project development. Evaluating these projects is a challenge due to the difficulty of measuring individual student contributions versus team contributions. The adoption of distributed version control systems like Git enables the measurement of students' and teams' contributions to the project. In this work, we analyze the contributions within five software development projects from undergraduate courses that used project-based learning. For this, we generate visualizations of aggregated Git metrics using inequality indexes and inter-decile ratios, which offer insights into the practices and processes followed by students and teams throughout the project development. This approach allowed us to identify both inequality among students' contributions and development processes with a non-steady pace, rendering a useful feedback tool for instructors and students during the development of the project. Further studies can be conducted to assess the complexity and value of students' contributions by analyzing their source code commits and other software artifacts.","PeriodicalId":413655,"journal":{"name":"2020 XLVI Latin American Computing Conference (CLEI)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125778532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Application of a BPM-Based Approach in the Redesign of the Academic Follow-up Process of a Public High School in Colombia 基于bpm的方法在哥伦比亚一所公立高中学业后续流程重新设计中的应用

2020 XLVI Latin American Computing Conference (CLEI) Pub Date : 2020-10-01 DOI: 10.1109/CLEI52000.2020.00021

Jorge A. Montes, F. Giraldo

{"title":"Application of a BPM-Based Approach in the Redesign of the Academic Follow-up Process of a Public High School in Colombia","authors":"Jorge A. Montes, F. Giraldo","doi":"10.1109/CLEI52000.2020.00021","DOIUrl":"https://doi.org/10.1109/CLEI52000.2020.00021","url":null,"abstract":"This paper presents the redesign of the academic follow-up process established in the Colombia' Ministry of National Education (MEN) Guide No. 34, by the application of the Business Process Management (BPM) model, to improve its quality indicators within the Academic Management area in a public educational institution in the department of Quindío (Colombia). This case is presented as a feasible project that proposes a solution to the need to restructure the way in which academic processes are interpreted and managed within the country's public educational institutions due to the lack of specification, understanding of current processes and components. that integrate the institutional academic management. The methodology incorporates the process improvement techniques proposed by Dumas, M., et al. The redesign of the academic monitoring process, and the specification of the new key performance indicators or KPIs for each redesigned sub-process, promoted the quantification of the positive impact of the application of the BPM model in the redesign of the academic follow-up process and the improvement of its quality indicators within the field of academic management.","PeriodicalId":413655,"journal":{"name":"2020 XLVI Latin American Computing Conference (CLEI)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126802288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Applying supervised learning techniques to Brazilian music genre classification 将监督学习技术应用于巴西音乐类型分类

2020 XLVI Latin American Computing Conference (CLEI) Pub Date : 2020-10-01 DOI: 10.1109/CLEI52000.2020.00019

Júlia Luiza Conceição, Rosiane de Freitas, Bruno F. Gadelha, João Gustavo Kienen, Sérgio Anders, Brendo Cavalcante

引用次数: 1

2020 XLVI Latin American Computing Conference CLEI 2020 [Title page iii] 2020 XLVI拉丁美洲计算会议CLEI 2020 [Title page iii]

2020 XLVI Latin American Computing Conference (CLEI) Pub Date : 2020-10-01 DOI: 10.1109/clei52000.2020.00002

引用次数: 0

A Business Architecture Proposal for Teleworking in Software-Development MSMEs of Colombia 哥伦比亚软件开发中小微企业远程办公业务架构建议

2020 XLVI Latin American Computing Conference (CLEI) Pub Date : 2020-10-01 DOI: 10.1109/CLEI52000.2020.00031

Sebastián Cardona Quintero, F. Giraldo

引用次数: 0

The Positioning of the Digital Generation on Digital Immortality 数字世代对数字不朽的定位

2020 XLVI Latin American Computing Conference (CLEI) Pub Date : 2020-10-01 DOI: 10.1109/CLEI52000.2020.00061

Juliana Micolino Cabral, Vinícius Ferreira Galvão, Cristiano Maciel

引用次数: 0

Linguistic Summarization of Data in Decision-Making on Performance Evaluation 绩效评估决策中数据的语言总结

2020 XLVI Latin American Computing Conference (CLEI) Pub Date : 2020-10-01 DOI: 10.1109/CLEI52000.2020.00038

Bárbara Bron Fonseca, O. Cornelio, Iliana Pérez Pupo

引用次数: 3

Comparison of classical and machine-learning methods on spatio-temporal modeling of daily Ozone concentrations 经典方法与机器学习方法在臭氧日浓度时空模拟中的比较

2020 XLVI Latin American Computing Conference (CLEI) Pub Date : 2020-10-01 DOI: 10.1109/CLEI52000.2020.00014

R. Gualán, Víctor Saquicela, Long Tran-Thanh

{"title":"Comparison of classical and machine-learning methods on spatio-temporal modeling of daily Ozone concentrations","authors":"R. Gualán, Víctor Saquicela, Long Tran-Thanh","doi":"10.1109/CLEI52000.2020.00014","DOIUrl":"https://doi.org/10.1109/CLEI52000.2020.00014","url":null,"abstract":"Effective actions to mitigate air pollution require of availability of high-resolution observations. Low-cost sensor technologies have emerged as an affordable solution to cope with this deficiency. However, since low-cost sensors are built with low-cost materials, they are prone to errors, gaps, bias, and noise. These problems need to be solved before data can be used to support research or decision making. Addressing lack of reliability in low-cost sensor data is a complex challenge that is still under research over several lines (e.g. accuracy estimation of low-cost sensor data). Current approaches in this line involve modeling, bias-correction, and more recently, data fusion methods relying on high-resolution air quality computational models. Overall, accuracy estimation can be reduced to a modeling problem. The focus of this work is studying, testing, and comparing suitable approaches for handling point-referenced spatio-temporal sensor data, particularly classical spatial models, spatio-temporal models, and popular machine learning methods. Among these approaches, Bayesian hierarchical models have a special consideration given the attention they have drawn during the last fifteen years. The benchmark supporting this comparison study is a real-life dataset made up of daily ozone observations taken from the USA Environmental Protection Agency (EPA) and meteorological variables extracted from the NCEP/NCAR Reanalysis Project (NNRP). The main contributions of this work are: (1) a systematic comparison of three kinds of models, using a 10-fold cross-validation exercise; and (2) a feature engineering method to create covariates meant to harness spatially correlated observations of point-referenced sensor data.","PeriodicalId":413655,"journal":{"name":"2020 XLVI Latin American Computing Conference (CLEI)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134510464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Healthy and Anomalous Beehives Classification Model using Convolutional Neural Networks 基于卷积神经网络的健康与异常蜂箱分类模型

2020 XLVI Latin American Computing Conference (CLEI) Pub Date : 2020-10-01 DOI: 10.1109/CLEI52000.2020.00008

Tomás Child, G. Acuña

引用次数: 0

Code Quality Practices: Perspective of Team Leaders 代码质量实践:团队领导的视角

2020 XLVI Latin American Computing Conference (CLEI) Pub Date : 2020-10-01 DOI: 10.1109/CLEI52000.2020.00032

Alejandro Adorjan, Martín Solari, Diego Vallespir

引用次数: 0