Proceedings of the XV Brazilian Symposium on Information Systems最新文献

Open Data Extraction, Transformation, and Loading as a Tool for Supporting 2018 Elections' Voters 开放数据提取、转换和加载作为支持2018年选举选民的工具

Proceedings of the XV Brazilian Symposium on Information Systems Pub Date : 2019-05-20 DOI: 10.1145/3330204.3330232

Nélson R. S. Passos, Ariel F. Rodrigues, Hendrik T. Macedo, Bruno O. Prado, G. J. F. D. Silva, L. Matos

引用次数: 2

On the Effects of Developers' Intuition on Measuring Similarity Between UML Models 开发人员的直觉对度量UML模型间相似性的影响

Proceedings of the XV Brazilian Symposium on Information Systems Pub Date : 2019-05-20 DOI: 10.1145/3330204.3330238

L. Gonçales, Kleinner Farias, Vinícius Bischoff

{"title":"On the Effects of Developers' Intuition on Measuring Similarity Between UML Models","authors":"L. Gonçales, Kleinner Farias, Vinícius Bischoff","doi":"10.1145/3330204.3330238","DOIUrl":"https://doi.org/10.1145/3330204.3330238","url":null,"abstract":"Software design models play a key role in many activities of information systems engineering, such as documenting software artefacts, communicating project decisions, and code generation. In this scenario, the techniques for comparison of software design models are used for several purposes, such as, for detecting clones, and model evolution. In the last decades, academia proposed different techniques for comparing software models. Even using these different techniques for model comparison, this process is still an activity of a subjective nature, because during this process, different developers can interpret the similarity differently. Thus, the problem is that it is still unknown if developers has the same intuition in order to resolve comparison of software design models. For this, the main objective of this work is to explore the effects of their experience level, i.e., experienced and inexperienced developers, relative to their effort and correctness for resolving activities of comparing software design models. Therefore, a controlled experiment was conducted to evaluate the developer's experience level regarding on similarities of UML Models. The results show that the developer's experience does not affect the understanding of similarities activities.","PeriodicalId":348938,"journal":{"name":"Proceedings of the XV Brazilian Symposium on Information Systems","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122684826","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: 1

Kairós

Proceedings of the XV Brazilian Symposium on Information Systems Pub Date : 2019-05-20 DOI: 10.1145/3330204.3330205

F. C. Rodrigues, A. Filippetto, J. Barbosa

引用次数: 0

How do software technologies impact the daily of people with autism in Brazil: A survey 软件技术如何影响巴西自闭症患者的日常生活:一项调查

Proceedings of the XV Brazilian Symposium on Information Systems Pub Date : 2019-05-20 DOI: 10.1145/3330204.3330274

Tamires A. S. Sousa, V. D. Ferreira, A. B. Marques

{"title":"How do software technologies impact the daily of people with autism in Brazil: A survey","authors":"Tamires A. S. Sousa, V. D. Ferreira, A. B. Marques","doi":"10.1145/3330204.3330274","DOIUrl":"https://doi.org/10.1145/3330204.3330274","url":null,"abstract":"Autistic Spectrum Disorder (ASD) is characterized by persistent deficits in communication and social interaction, restrictive and repetitive patterns of behavior. The development of information systems for supporting the treatment of ASD has been intensified in recent years, allowing new ways of treatment. Although new systems are developed, there are still few studies that investigate the impact on the use of these systems on the daily of autistic users. In this sense, we conducted a research to investigate the impact on the use of information systems by autistic users. Our methodology adopted the following steps: 1) immersion in groups of social networks in which discussions about ASD are carried out; 2) identification of the research target audience; 3) creation of the research collection instrument; 4) execution of a survey with parents and professionals that care of autistic children; 5) analysis of the data obtained. During two weeks, we obtained 53 questionnaire responses. We observed that 96.2% of the respondents indicate that their children have access to software technologies and 90.5% agree that the technologies can support the teaching and learning of autistic people. We identified positive and negative characteristics of software technologies in order to provide opportunities for improving the existing systems or developing systems more adequate to needs of autistic children.","PeriodicalId":348938,"journal":{"name":"Proceedings of the XV Brazilian Symposium on Information Systems","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129477778","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: 4

Decision Support System for Precision Livestock: Machine Learning-Based Prediction Module for Stocking Rate Adjustment 精准畜牧业决策支持系统:基于机器学习的放养率调整预测模块

Proceedings of the XV Brazilian Symposium on Information Systems Pub Date : 2019-05-20 DOI: 10.1145/3330204.3330222

L. Schulte, N. Perez, Leonardo Bidese de Pinho, G. Trentin

{"title":"Decision Support System for Precision Livestock: Machine Learning-Based Prediction Module for Stocking Rate Adjustment","authors":"L. Schulte, N. Perez, Leonardo Bidese de Pinho, G. Trentin","doi":"10.1145/3330204.3330222","DOIUrl":"https://doi.org/10.1145/3330204.3330222","url":null,"abstract":"The increasing worldwide demand for resources such as water and food brings the need for the application of scientific methods in agriculture and livestock to increase their productivity. One way to increase the efficiency of productive systems that make extensive beef cattle breeding is by adjusting the pasture stocking rate to optimize the animal weight gain per hectare. The present work describes a module for Farm Management Information System (FMIS) based on Long Short-Term Memory (LSTM) neural networks to estimate forage mass by means of historical pasture growth data collected through the direct method associated with meteorological data. The proposed method is based on exploratory and experimental interdisciplinary research, with systematic bibliographic research and study case. The results show that LSTM neural networks are able to make a reasonable estimate for the dry mass variation over time. Using this estimate, one can obtain a gain/hectare/year of 121 kg of live weight against 70 kg where there is no adjustment of animal load and 98 kg where this adjustment is made based on the estimate of the previous month.","PeriodicalId":348938,"journal":{"name":"Proceedings of the XV Brazilian Symposium on Information Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129099205","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: 2

Enrichment of dictionaries to improve the automatic classification of feelings in postings related to the use of systems 丰富词典，提高自动分类的感受，在帖子中使用相关系统

Proceedings of the XV Brazilian Symposium on Information Systems Pub Date : 2019-05-20 DOI: 10.1145/3330204.3330219

Afonso Matheus Sousa Lima, M. Mendes, L. A. Cruz

引用次数: 2

Software Startups Success Factors Study under the Entrepreneurial Perspective 创业视角下的软件创业成功因素研究

Proceedings of the XV Brazilian Symposium on Information Systems Pub Date : 2019-05-20 DOI: 10.1145/3330204.3330263

Tatiany Xavier de Godoi, A. Menolli, Gustavo Marcelino Dionisio

引用次数: 2

Louvre: A Framework for Metadata Curation in Data Ecosystem Louvre:数据生态系统中的元数据管理框架

Proceedings of the XV Brazilian Symposium on Information Systems Pub Date : 2019-05-20 DOI: 10.1145/3330204.3330248

Marcelo Iury S. Oliveira, B. Lóscio

引用次数: 1

A Deep Learning Approach to the Malware Classification Problem using Autoencoders 基于自编码器的恶意软件分类问题的深度学习方法

Proceedings of the XV Brazilian Symposium on Information Systems Pub Date : 2019-05-20 DOI: 10.1145/3330204.3330229

Dhiego Ramos Pinto, J. C. Duarte, R. Sant'Ana

{"title":"A Deep Learning Approach to the Malware Classification Problem using Autoencoders","authors":"Dhiego Ramos Pinto, J. C. Duarte, R. Sant'Ana","doi":"10.1145/3330204.3330229","DOIUrl":"https://doi.org/10.1145/3330204.3330229","url":null,"abstract":"Detecting malicious code or categorizing it among families has become an increasingly difficult task. Malware1 exploits vulnerabilities and employ sophisticated techniques to avoid their detection and further classification, challenging cybersecurity teams, governments, enterprises, and the ordinary user, causing uncountable losses annually. Traditional machine learning algorithms have been used to attack the problem, although, these methods are heavily relying on domain expertise to be successful. Deep Learning methods requires less dependency on feature engineering, discovering the important features straightly from the raw data, recognizing patterns that humans usually can't. This work presents a deep learning approach for malware multi-class classification based on an unsupervised pre-trained classifier, using opcodes and its operands frequencies as raw data, ignoring knowledge that could be acquired from any known features from the malware families. The results confirmed that the approach is well succeeded and our best model achieved a MacroF1 of 93.14% a competitive result comparing to best-known classifier, since it uses less information about the malware.","PeriodicalId":348938,"journal":{"name":"Proceedings of the XV Brazilian Symposium on Information Systems","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126953424","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

Dynamic Discovery of IoT Services Based on Semantic Processing of Event Flows 基于事件流语义处理的物联网服务动态发现

Proceedings of the XV Brazilian Symposium on Information Systems Pub Date : 2019-05-20 DOI: 10.1145/3330204.3330280

Anderson Soares Costa, Rodolfo Sobreira Alves, F. Silva, M. Endler

{"title":"Dynamic Discovery of IoT Services Based on Semantic Processing of Event Flows","authors":"Anderson Soares Costa, Rodolfo Sobreira Alves, F. Silva, M. Endler","doi":"10.1145/3330204.3330280","DOIUrl":"https://doi.org/10.1145/3330204.3330280","url":null,"abstract":"The Internet of Things (IoT) is a combination of ubiquitous computing and the Internet, in which IoT (smart objects) devices can collect and exchange data, cooperating with people and the environment in which they find themselves. The Internet of Mobile Thing (IoMT), which is an extension of IoT, proposes scenarios in which smart objects and gateways are mobile. In this context, this work is focused on the discovery of smart objects in IoT/IoMT environments considering the following problems: mobility of both smart objects and gateways; great heterogeneity of smart objects and communication technologies to access them; the need for interoperability in these environments; the need to combine data from smart objects with knowledge bases. Therefore, the objective of this work is to combine Semantic Flow Processing with knowledge representation techniques to enrich the instantaneous and continuous discovery of smart objects and their services in IoT/IoMT environments. To this end, an ontology was developed to describe IoT/IoMT scenarios, a semantic middleware, an API for building information systems and applications, and a cloud infrastructure for querying and semantic streaming of smart objects. The evaluation of this work is done through a use case in the field of intelligent parking lots.","PeriodicalId":348938,"journal":{"name":"Proceedings of the XV Brazilian Symposium on Information Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128853786","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: 1