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Anais do I Workshop Brasileiro de Engenharia de Software Inteligente (ISE 2021)最新文献

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Using Bayesian Networks to Support Managing Technological Risk on Software Projects 使用贝叶斯网络支持软件项目的技术风险管理
Anais do I Workshop Brasileiro de Engenharia de Software Inteligente (ISE 2021) Pub Date : 2021-09-28 DOI: 10.5753/ise.2021.17277
Emanuel Dantas, Ademar França de Sousa Neto, M. Perkusich, H. Almeida, A. Perkusich
{"title":"Using Bayesian Networks to Support Managing Technological Risk on Software Projects","authors":"Emanuel Dantas, Ademar França de Sousa Neto, M. Perkusich, H. Almeida, A. Perkusich","doi":"10.5753/ise.2021.17277","DOIUrl":"https://doi.org/10.5753/ise.2021.17277","url":null,"abstract":"Risk management is essential in software project management. It includes activities such as identifying, measuring and monitoring risks. The literature presents different approaches to support software risk management. In particular, the researchers popularly used Bayesian Networks because they can be learned from data or elicited from domain experts. Even though the literature presents many Bayesian networks (BN) for software risk management, none focus on technological risk factors. Given this, this paper presents a BN for managing risks of software projects and the results of a static validation performed through a focus group with eight practitioners. As a result, the practitioners agreed that our proposed to manage technological risks of software projects using BN is valuable and easy to use. Given the successful results, we concluded that the proposed solution is promising.","PeriodicalId":252817,"journal":{"name":"Anais do I Workshop Brasileiro de Engenharia de Software Inteligente (ISE 2021)","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124889612","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
Continuous Integration for Machine Learning Experiments Reproducibility: a Practical Study 机器学习实验再现性的持续集成:一个实用研究
Anais do I Workshop Brasileiro de Engenharia de Software Inteligente (ISE 2021) Pub Date : 2021-09-28 DOI: 10.5753/ise.2021.17279
A. M. Andrade, M. B. Pereira, S. H. S. Silveira, F. I. F. Linhares, A. H. O. Neto, R. M. C. Andrade, I. L. Araújo
{"title":"Continuous Integration for Machine Learning Experiments Reproducibility: a Practical Study","authors":"A. M. Andrade, M. B. Pereira, S. H. S. Silveira, F. I. F. Linhares, A. H. O. Neto, R. M. C. Andrade, I. L. Araújo","doi":"10.5753/ise.2021.17279","DOIUrl":"https://doi.org/10.5753/ise.2021.17279","url":null,"abstract":"The development of a Machine Learning (ML) model depends on many variables in its training. Both model architecture-related variables, such as initial weights and hyperparameters, and general variables, like datasets and framework versions, might impact model metrics and experiment reproducibility. An application cannot be trustworthy if it produces good results only in a specific environment. Therefore, in order to avoid reproducibility issues, some good practices need to be adopted. This paper aims to report a practical experience in developing a machine learning application adopting a workflow that assures the reproducibility of the experiments and, consequently, its reliability, improving the team productivity.","PeriodicalId":252817,"journal":{"name":"Anais do I Workshop Brasileiro de Engenharia de Software Inteligente (ISE 2021)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117152670","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
Beyond Subjectiviness: Assessing Abilities and Preferences to Create Software Development Teams 超越主观性:评估创建软件开发团队的能力和偏好
Anais do I Workshop Brasileiro de Engenharia de Software Inteligente (ISE 2021) Pub Date : 2021-09-28 DOI: 10.5753/ise.2021.17276
L. Alves, Vinícius Ricardo, Laerte Xavier
{"title":"Beyond Subjectiviness: Assessing Abilities and Preferences to Create Software Development Teams","authors":"L. Alves, Vinícius Ricardo, Laerte Xavier","doi":"10.5753/ise.2021.17276","DOIUrl":"https://doi.org/10.5753/ise.2021.17276","url":null,"abstract":"The creation of software development teams that are affected by performance issues is a problem frequently observed in companies in the software development market. This process is commonly done through subjective methodologies. Such methodologies can be influenced by interpersonal relationships and susceptible to human error. This paper proposes a quantitative and data-oriented alternative to the process of forming workgroups through the use of a genetic algorithm capable of optimizing collaborator’s abilities and preferences when executing a specific task within a project. As a result, we show that the use of such genetic algorithm is able to create teams similar to the teams assembled by the project managers of companies in the industry of software engineering. Therefore, the ability of genetic algorithm on supporting the process of develoment teams assembly becomes evident.","PeriodicalId":252817,"journal":{"name":"Anais do I Workshop Brasileiro de Engenharia de Software Inteligente (ISE 2021)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116456766","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
A Decision Support System for Multiple Team Formation 多团队组建的决策支持系统
Anais do I Workshop Brasileiro de Engenharia de Software Inteligente (ISE 2021) Pub Date : 2021-09-28 DOI: 10.5753/ise.2021.17280
Felipe Cunha, M. Perkusich, H. Almeida, A. Perkusich, K. Gorgônio
{"title":"A Decision Support System for Multiple Team Formation","authors":"Felipe Cunha, M. Perkusich, H. Almeida, A. Perkusich, K. Gorgônio","doi":"10.5753/ise.2021.17280","DOIUrl":"https://doi.org/10.5753/ise.2021.17280","url":null,"abstract":"This work presents a Decision Support System to assist multiple team formation in the context of software development. After analysis of recent works in the literature, it was found that the approaches are still unable to reflect the real needs of the industry, which makes their practical application difficult. Our findings confirm the benefits of our prototype developed to researchers who are interested in comprehending the team formation problem and industry practitioners who may be interested in understanding how Decision Support Systems can support the teams formation.","PeriodicalId":252817,"journal":{"name":"Anais do I Workshop Brasileiro de Engenharia de Software Inteligente (ISE 2021)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130595805","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
Towards a Grounded Theory for a Development Process Model for Machine Learning Based Systems 基于机器学习的系统开发过程模型的基础理论
Anais do I Workshop Brasileiro de Engenharia de Software Inteligente (ISE 2021) Pub Date : 2021-09-28 DOI: 10.5753/ise.2021.17278
A. Meireles, R. M. Carvalho, T. Rique, Marizangela B. P. Cavalcante, M. Perkusich, H. Almeida, A. Perkusich
{"title":"Towards a Grounded Theory for a Development Process Model for Machine Learning Based Systems","authors":"A. Meireles, R. M. Carvalho, T. Rique, Marizangela B. P. Cavalcante, M. Perkusich, H. Almeida, A. Perkusich","doi":"10.5753/ise.2021.17278","DOIUrl":"https://doi.org/10.5753/ise.2021.17278","url":null,"abstract":"The software industry has experienced the integration of artificial intelligence capabilities into applications, facing new challenges regarding software development. Despite research and industry contributions providing lessons learned and best practices, no study proposed a reference process for developing this type of software, and practitioners still struggle to establish a working process. Through a Grounded Theory study involving practitioners with experience in machine learning (ML) projects, this paper presents an emerging theory of how ML-based systems are developed. The reported results comprise key elements of a reference development process with its respective phases and activities.","PeriodicalId":252817,"journal":{"name":"Anais do I Workshop Brasileiro de Engenharia de Software Inteligente (ISE 2021)","volume":"03 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127335820","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
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