Pub Date : 2020-10-01DOI: 10.1109/CLEI52000.2020.00068
Sivana Hamer, Christian Quesada-López, Alexandra Martínez, Marcelo Jenkins
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.
{"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}
Pub Date : 2020-10-01DOI: 10.1109/CLEI52000.2020.00021
Jorge A. Montes, F. Giraldo
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.
{"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}
Pub Date : 2020-10-01DOI: 10.1109/CLEI52000.2020.00019
Júlia Luiza Conceição, Rosiane de Freitas, Bruno F. Gadelha, João Gustavo Kienen, Sérgio Anders, Brendo Cavalcante
In this work, an initial study on the automatic recognition of the main Brazilian music genres is presented: Axé, Forró, MPB, Rock, Samba, and Sertanejo. Through the extraction of representative musical characteristics, automatic classification experiments were performed applying classical supervised learning algorithms and Weka ML tool. An analysis of the main available databases was also carried out: GTZAN, FMA, AudioSet, RWC, ISMIR, Magnatune, and LMD. There is a scarcity of cultural diversity on these bases, most of which concentrate globally more popular styles such as Pop and Rock, reinforcing the need to include more diverse and culturally identifiable genres, such as Brazilians. The preliminary results obtained demonstrate the adequacy of the recognition process of the main Brazilian musical genres.
在这项工作中，提出了对主要巴西音乐流派的自动识别的初步研究:ax， Forró， MPB, Rock, Samba和Sertanejo。通过对代表性音乐特征的提取，应用经典监督学习算法和Weka ML工具进行自动分类实验。对可用的主要数据库进行了分析:GTZAN、FMA、AudioSet、RWC、ISMIR、Magnatune和LMD。这些基地缺乏文化多样性，其中大多数集中在流行音乐和摇滚等全球流行风格上，这加强了包括更多样化和文化上可识别的流派的需求，比如巴西人。初步结果证明了巴西主要音乐类型识别过程的充分性。
{"title":"Applying supervised learning techniques to Brazilian music genre classification","authors":"Júlia Luiza Conceição, Rosiane de Freitas, Bruno F. Gadelha, João Gustavo Kienen, Sérgio Anders, Brendo Cavalcante","doi":"10.1109/CLEI52000.2020.00019","DOIUrl":"https://doi.org/10.1109/CLEI52000.2020.00019","url":null,"abstract":"In this work, an initial study on the automatic recognition of the main Brazilian music genres is presented: Axé, Forró, MPB, Rock, Samba, and Sertanejo. Through the extraction of representative musical characteristics, automatic classification experiments were performed applying classical supervised learning algorithms and Weka ML tool. An analysis of the main available databases was also carried out: GTZAN, FMA, AudioSet, RWC, ISMIR, Magnatune, and LMD. There is a scarcity of cultural diversity on these bases, most of which concentrate globally more popular styles such as Pop and Rock, reinforcing the need to include more diverse and culturally identifiable genres, such as Brazilians. The preliminary results obtained demonstrate the adequacy of the recognition process of the main Brazilian musical genres.","PeriodicalId":413655,"journal":{"name":"2020 XLVI Latin American Computing Conference (CLEI)","volume":"1 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":"128612675","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}
Pub Date : 2020-10-01DOI: 10.1109/clei52000.2020.00002
{"title":"2020 XLVI Latin American Computing Conference CLEI 2020 [Title page iii]","authors":"","doi":"10.1109/clei52000.2020.00002","DOIUrl":"https://doi.org/10.1109/clei52000.2020.00002","url":null,"abstract":"","PeriodicalId":413655,"journal":{"name":"2020 XLVI Latin American Computing Conference (CLEI)","volume":"148 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":"115993827","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}
Pub Date : 2020-10-01DOI: 10.1109/CLEI52000.2020.00031
Sebastián Cardona Quintero, F. Giraldo
This paper presents the process of creating and deploying business architecture for the implementation of teleworking in emerging small and medium-sized software-development companies in Colombia, taking reference methodology as determined by the Colombian government in its White-Book on Teleworking, and utilizing the tools of Eclipse Process Framework for the creation of the said business architecture in a way that the framework can be educational and contribute in the dissemination and implementation of teleworking in Colombian companies as per the advising council on telework of the Ministry of Technology and Telecommunications (MinTIC) or by any private company that desires its use as a systematic guide in its telework implementation plan.
本文介绍了哥伦比亚新兴的中小型软件开发公司为实施远程办公而创建和部署业务架构的过程，参考了哥伦比亚政府在其远程办公白皮书中确定的方法。并利用Eclipse Process Framework的工具来创建上述业务架构，使该框架具有教育意义，并有助于哥伦比亚公司按照技术和电信部(MinTIC)远程工作咨询委员会或任何希望将其用作远程工作实施计划系统指南的私营公司传播和实施远程工作。
{"title":"A Business Architecture Proposal for Teleworking in Software-Development MSMEs of Colombia","authors":"Sebastián Cardona Quintero, F. Giraldo","doi":"10.1109/CLEI52000.2020.00031","DOIUrl":"https://doi.org/10.1109/CLEI52000.2020.00031","url":null,"abstract":"This paper presents the process of creating and deploying business architecture for the implementation of teleworking in emerging small and medium-sized software-development companies in Colombia, taking reference methodology as determined by the Colombian government in its White-Book on Teleworking, and utilizing the tools of Eclipse Process Framework for the creation of the said business architecture in a way that the framework can be educational and contribute in the dissemination and implementation of teleworking in Colombian companies as per the advising council on telework of the Ministry of Technology and Telecommunications (MinTIC) or by any private company that desires its use as a systematic guide in its telework implementation plan.","PeriodicalId":413655,"journal":{"name":"2020 XLVI Latin American Computing Conference (CLEI)","volume":"75 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":"127205632","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}
The use of data for preservation of one's legacy and/or digital immortality is a sensitive topic, and it is very important to consider the point of view of technology users from the generation closest to the internet. This article aims to analyze and describe data collected via an online survey regarding how the digital generation sees this subject, comparing the results with others found in literature.
{"title":"The Positioning of the Digital Generation on Digital Immortality","authors":"Juliana Micolino Cabral, Vinícius Ferreira Galvão, Cristiano Maciel","doi":"10.1109/CLEI52000.2020.00061","DOIUrl":"https://doi.org/10.1109/CLEI52000.2020.00061","url":null,"abstract":"The use of data for preservation of one's legacy and/or digital immortality is a sensitive topic, and it is very important to consider the point of view of technology users from the generation closest to the internet. This article aims to analyze and describe data collected via an online survey regarding how the digital generation sees this subject, comparing the results with others found in literature.","PeriodicalId":413655,"journal":{"name":"2020 XLVI Latin American Computing Conference (CLEI)","volume":"17 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":"124890570","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}
Pub Date : 2020-10-01DOI: 10.1109/CLEI52000.2020.00038
Bárbara Bron Fonseca, O. Cornelio, Iliana Pérez Pupo
The process of evaluating the Human Resources performance of a project generates a large amount of information that conditions timely decision-making at runtime and serves as a basis for study to perfect or correct future management strategies. When the volume of information generated is very high, it is difficult to identify the truly important information. This research proposes a solution to the problems posed from the implementation of a method based on Linguistic Summarization of Data for the construction of Linguistic Summaries from the generation of Association Rules.
{"title":"Linguistic Summarization of Data in Decision-Making on Performance Evaluation","authors":"Bárbara Bron Fonseca, O. Cornelio, Iliana Pérez Pupo","doi":"10.1109/CLEI52000.2020.00038","DOIUrl":"https://doi.org/10.1109/CLEI52000.2020.00038","url":null,"abstract":"The process of evaluating the Human Resources performance of a project generates a large amount of information that conditions timely decision-making at runtime and serves as a basis for study to perfect or correct future management strategies. When the volume of information generated is very high, it is difficult to identify the truly important information. This research proposes a solution to the problems posed from the implementation of a method based on Linguistic Summarization of Data for the construction of Linguistic Summaries from the generation of Association Rules.","PeriodicalId":413655,"journal":{"name":"2020 XLVI Latin American Computing Conference (CLEI)","volume":"14 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":"125096342","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}
Pub Date : 2020-10-01DOI: 10.1109/CLEI52000.2020.00014
R. Gualán, Víctor Saquicela, Long Tran-Thanh
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.
{"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}
Pub Date : 2020-10-01DOI: 10.1109/CLEI52000.2020.00008
Tomás Child, G. Acuña
One of the main problems in chilean beekeeping is the late diseases diagnosis that affects beehives. In this work, convolutional neuronal networks are used to create a system that detect beehives health by classifying the sound they emit represented by spectrograms. A dataset is made from audio registers recorded in Chile. From this data, two models for beehives classification are elaborated with different architectures. The model implemented through Transfer Learning obtains a high percentage of accuracy (0.9303 in validation) at classifying recordings according to their health condition, which is comparable to other related publications about Machine Learning applied in beekeeping.
{"title":"Healthy and Anomalous Beehives Classification Model using Convolutional Neural Networks","authors":"Tomás Child, G. Acuña","doi":"10.1109/CLEI52000.2020.00008","DOIUrl":"https://doi.org/10.1109/CLEI52000.2020.00008","url":null,"abstract":"One of the main problems in chilean beekeeping is the late diseases diagnosis that affects beehives. In this work, convolutional neuronal networks are used to create a system that detect beehives health by classifying the sound they emit represented by spectrograms. A dataset is made from audio registers recorded in Chile. From this data, two models for beehives classification are elaborated with different architectures. The model implemented through Transfer Learning obtains a high percentage of accuracy (0.9303 in validation) at classifying recordings according to their health condition, which is comparable to other related publications about Machine Learning applied in beekeeping.","PeriodicalId":413655,"journal":{"name":"2020 XLVI Latin American Computing Conference (CLEI)","volume":"52 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":"130932673","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}
Pub Date : 2020-10-01DOI: 10.1109/CLEI52000.2020.00032
Alejandro Adorjan, Martín Solari, Diego Vallespir
This paper describes and discusses a pilot study about code quality practices from the software development leader perspective. Semi-structured interview and thematic analysis have been selected as qualitative analysis methods. This article introduces the design of the research protocol, the execution of the interviews and the analysis process. The results drawn from the present study suggest potential dependence of the practices according to the context of the organisation: type of client and methodology. Code review, pull request in distributed repositories and coding standards emerge as the main code quality practices.
{"title":"Code Quality Practices: Perspective of Team Leaders","authors":"Alejandro Adorjan, Martín Solari, Diego Vallespir","doi":"10.1109/CLEI52000.2020.00032","DOIUrl":"https://doi.org/10.1109/CLEI52000.2020.00032","url":null,"abstract":"This paper describes and discusses a pilot study about code quality practices from the software development leader perspective. Semi-structured interview and thematic analysis have been selected as qualitative analysis methods. This article introduces the design of the research protocol, the execution of the interviews and the analysis process. The results drawn from the present study suggest potential dependence of the practices according to the context of the organisation: type of client and methodology. Code review, pull request in distributed repositories and coding standards emerge as the main code quality practices.","PeriodicalId":413655,"journal":{"name":"2020 XLVI Latin American Computing Conference (CLEI)","volume":"53 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":"130132436","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：