检索结果-内蒙古大学图书馆

Proceedings - 2024 IEEE/ACM International Workshop on Methodological Issues with Empirical Studies in software engineering, WSESE 2024 2024年 VI-VII页

作者： Vegas, Sira Jedlitschka, Andreas Carver, Jeffrey C. Universidad Politécnica de Madrid Madrid Spain Fraunhofer Institute for Experimental Software Engineering Kaiserslautern Germany University of Alabama Tuscaloosa United States

来源：评论

学校读者我要写书评

暂无评论

Towards an Understanding of Requirements Management in software Ecosystems

SSRN

引用

SSRN 2024年

作者： Malcher, Paulo Viana, Davi Antonino, Pablo Oliveira dos Santos, Rodrigo Pereira Rio de Janeiro Brazil Capitão Poço Brazil São Luís Brazil Fraunhofer Institute for Experimental Software Engineering Kaiserslautern Germany

Context: New software development contexts, such as software ecosystems (SECO) have introduced complexity in requirements management due to multiple actors’ collaboration through several organizational ***: The main contribution of this article is to improve the understanding of requirements management in SECO. We propose a conceptual model whose concepts, definitions, and relationships are grounded in the literature and the modern software industry’s ***: We applied Design Science to build the conceptual model and conducted a Delphi study with 22 experts to assess it. We performed two rounds and adjusted our model according to the experts’ ***: We reached a conceptual model containing 43 concepts and their relationships that help to understand requirements management in SECO. Moreover, we provided a glossary with a definition of each concept. This conceptual model can help abstract the complexity of the requirements management in SECO, improving their ***: By organizing the knowledge of requirements management in SECO, this conceptual model makes it possible to expand the body of knowledge in the area and serves as a basis for new solutions to support requirements management in SECO. © 2024, The Authors. All rights reserved.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An Approach for Evaluating the Potential Impact of Anti-Patterns on Microservices Performance

An Approach for Evaluating the Potential Impact of Anti-Patt...

引用

IEEE International Conference on software Architecture Workshops (ICSAW)

作者： Raghad Matar Jasmin Jahić Department of Architecture-Centric Engineering Fraunhofer Institute for Experimental Software Engineering Kaiserslautern Germany Department of Computer Science and Technology University of Cambridge Cambridge UK

The microservices architectural style has been increasingly adopted in recent years due to its advantageous characteristics. While there exist design patterns for microservices that are theoretically beneficial for ensuring performance (and anti-patterns that should be avoided), they do not always lead to the expected impact. Some designs are solutions for achieving quality properties other than performance, and while they might be categorized as anti-patterns in theory, their influence on system performance can be minimal, depending on the context. Architects find it hard to reason about these trade-offs and the impact that design decisions will have on performance before implementing them. To solve this problem, in this paper, we propose an approach that enables rapid evaluation of high-level architectural models by combining both static and dynamic analysis. The static analysis identifies the design anti-patterns that are known to hinder system performance and guides the architect in reasoning about these design decisions. The approach then generates source code for the system under study based on the architectural design model for a subsequent dynamic analysis to assess whether the statically detected anti-patterns do indeed have a negative effect on the performance of the analyzed system.

关键词： Analytical models software architecture System performance Source coding Microservice architectures Static analysis Cognition

来源：评论

学校读者我要写书评

暂无评论

A practical user feedback classifier for software quality characteristics 33

A practical user feedback classifier for software quality ch...

引用

33rd International Conference on software engineering and Knowledge engineering, SEKE 2021

作者： dos Santos, Rubens Villela, Karina Avila, Diego Toralles Thom, Lucineia Heloisa Federal University of Rio Grande Do Sul - Institute of Informatics Porto Alegre Brazil Fraunhofer Institute for Experimental Software Engineering Kaiserslautern Germany

ISBN: (纸本)1891706527

It is common practice for users to provide feedback on apps through social media or app store reviews. This feedback is a rich source of requirements for these apps. However, manually analyzing vast amounts of user feedback is unfeasible, so automated user feedback classifiers are useful tools. This research work presents a user feedback classifier based on Machine Learning (ML) for the classification of reviews according to software quality characteristics complaint with the ISO25010 standard. We developed this approach by testing several ML algorithms, features, and class balancing techniques for classifying user feedback on a data set of 1500 reviews. The maximum F1 and F2 scores obtained were 60% and 73%, with recall as high as 94%. This approach does not replace human specialists, but reduces the effort required for requirements elicitation. © 2021 Knowledge Systems institute Graduate School. All rights reserved.

关键词： Classification (of information)

来源：评论

学校读者我要写书评

暂无评论

Integrated Planning and Scheduling for Customized Production using Digital Twins and Reinforcement Learning

引用

IFAC-PapersOnLine 2021年第1期54卷 408-413页

作者： Zai Mueller-Zhang Pablo Oliveira Antonino Thomas Kuhn Fraunhofer Institute for Experimental Software Engineering IESE Fraunhofer-Platz 1 67663 Kaiserslautern Germany

For customized production in small lot-sizes, traditional production plants have to be reconfigured manually multiple times to be adapted to variable order changes, what significantly increases the production costs. One of the goals of Industry 4.0 is to enable flexible production, allowing for customer-specific production or even production with lot size 1 in order to react dynamically to changes in production orders. All of this with increased quality parameters such as optimized use of machines, conveyor belts and raw materials, which ultimately leads to optimized resource utilization and cost-efficiency. To address this challenge, in this paper, we present a digital twin based self-learning process planning approach using Deep-Q-Network that is capable of identifying optimized process plans and workflows for the simultaneous production of personalized products. We have evaluated our approach on a virtual aluminum cold milling factory from the SMS Group, in the context of the BaSys 4 project. The goal of the evaluation was to provide evidence that the proposed approach is able to handle large problem space effectively. Our approach ensures the efficiency of the personalized production and the adaptivity of the production system.

关键词： Digital Twin Reinforcement Learning Deep-Q-Network Integrated Planning Scheduling

来源：评论

学校读者我要写书评

暂无评论

Overview and Assessment Approaches of Energy Consumption and GHG Emissions Through the Development and Application of Artificial Intelligence - An Example from the Agricultural Sector

Overview and Assessment Approaches of Energy Consumption and...

引用

IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)

作者： Stefan Rilling Jens Henningsen Katharina Milde Daniel Martini Lorenz Wickert Patricia Kelbert Adaptive Reflective Teams Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS Sankt Augustin Germany Data Science Fraunhofer Institute for Experimental Software Engineering IESE Kaiserslautern Germany Team Digital Technologies Advisory Board for Technology and Construction in Agriculture KTBL Darmstadt Germany

ISBN: (数字)9798350355444

ISBN: (纸本)9798350355451

This article looks at the sustainability of various artificial intelligence (AI) methods. In recent months, AI methods have received a great deal of public attention and the benefits for sustainability have been emphasised. However, the ecological impacts of AI methods must also be considered in this debate. This article presents an overview of various approaches to sustainability assessment and addresses issues relating to energy consumption and the associated Carbon dioxide (CO2) emissions, and a Life Cycle Assessment (LCA) calculation for a concrete agricultural AI-use case.

关键词： Life cycle assessment Energy consumption Conferences Forestry Carbon dioxide Metrology Agriculture Artificial intelligence Sustainable development Carbon emissions

来源：评论

学校读者我要写书评

暂无评论

Towards the Factory of the Future with Digital Twins and SOA : Towards the Factory of the Future with Digital Twins and SOA

Towards the Factory of the Future with Digital Twins and SOA...

引用

2020 IEEE International Conference on software Architecture Companion, ICSA-C 2020

作者： Kuhn, Thomas Schnicke, Frank Antonino, Pablo Oliveira Fraunhofer Institute for Experimental Software Engineering IESE Kaiserslautern Germany

ISBN: (纸本)9781728174150

关键词： Information services

来源：评论

学校读者我要写书评

暂无评论

Vision Paper: The Sustainability Awareness Framework (SusAF) as a De-Facto Standard?

Vision Paper: The Sustainability Awareness Framework (SusAF)...

引用

Joint of REFSQ-2023 Workshops, Doctoral Symposium, Posters and Tools Track and Journal Early Feedback, REFSQ-JP 2023

作者： Penzenstadler, Birgit Seyff, Norbert Betz, Stefanie Duboc, Leticia Porras, Jari Chitchyan, Ruzanna Brooks, Ian Oyedeji, Shola Villela, Karina B. Venters, Colin C. GU|Chalmers University Sweden Lappeenranta University of Technology Finland FHNW Switzerland Furtwangen University Germany La Salle - Ramon Llull University Spain University of Bristol United Kingdom University of the West of England United Kingdom Fraunhofer Institute for Experimental Software Engineering Germany Switzerland Centre for Sustainable Computing University of Huddersfield United Kingdom

For many practitioners, considering sustainability during a software development project is a challenge. The Sustainability Awareness Framework (SusAF) is a tool for thinking through short, medium- and long-term impacts of socio-technical systems on its surrounding environment. While SusAF has been used by several companies, is not widely adopted in industry yet. In this Vision Paper, we discuss the options for extending the reach of SusAF and what it would take to evolve SusAF into a (de-facto) standard. © 2023 Copyright © 2023 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0)

关键词： software design

来源：评论

学校读者我要写书评

暂无评论

Operationalizing Assurance Cases for Data Scientists: A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning

arXiv

引用

arXiv 2023年

作者： Jöckel, Lisa Kläs, Michael Groß, Janek Gerber, Pascal Scholz, Markus Eberle, Jonathan Teschner, Marc Seifert, Daniel Hawkins, Richard Molloy, John Ottnad, Jens Fraunhofer Institute for Experimental Software Engineering IESE Kaiserslautern Germany NovelSense Karlsruhe Germany TRUMPF Se + Co. KG Ditzingen Germany University of York York United Kingdom

Assurance Cases (ACs) are an established approach in safety engineering to argue quality claims in a structured way. In the context of quality assurance for Machine Learning (ML)-based software components, ACs are also being discussed and appear promising. Tools for operationalizing ACs do exist, yet mainly focus on supporting safety engineers on the system level. However, assuring the quality of an ML component within the system is commonly the responsibility of data scientists, who are usually less familiar with these tools. To address this gap, we propose a framework to support the operationalization of ACs for ML components based on technologies that data scientists use on a daily basis: Python and Jupyter Notebook. Our aim is to make the process of creating ML-related evidence in ACs more effective. Results from the application of the framework, documented through notebooks, can be integrated into existing AC tools. We illustrate the application of the framework on an example excerpt concerned with the quality of the test data. Copyright © 2023, The Authors. All rights reserved.

关键词： Python

来源：评论

学校读者我要写书评

暂无评论

SPLC 2023 Industry Variability Challenges Workshop 23

SPLC 2023 Industry Variability Challenges Workshop

引用

Proceedings of the 27th ACM International Systems and software Product Line Conference - Volume A

作者： Rick Rabiser Martin Becker Mitsuhiro Kitani CDL VaSiCS LIT CPS Lab Johannes Kepler University Linz Linz Austria Fraunhofer Institute for Experimental Software Engineering Kaiserslautern Germany Center for Technology Innovation - Systems Engineering Hitachi Yokohama Japan

ISBN: (纸本)9798400700910

The idea of the SPLC 2023 Industry Variability Challenges Workshop is to bring together practitioners and researchers to discuss the challenges regarding variability companies are currently facing. Companies can tell the researchers what they could/should work on regarding highly variable/configurable systems, identify areas where they would like to get some help from the SPLC community, network with other companies in other domains potentially having related issues, and identify possibilities to collaborate with researchers. Researchers can learn about current challenges of companies, relate industry challenges with ongoing research, and identify possibilities to collaborate with companies. After a motivating introduction by the organizers, each company pitches their setting, especially drivers, challenges, and lessons learned with regard to dealing with variability/highly variable/configurable systems in their context. Workshop organizers document challenges live on a shared board. This is followed by open discussion guided by the workshop organizers to further extend the challenges collected on the shared board and discuss them together with all participants.

关键词： Industry Challenges

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：