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检索条件"任意字段=18th International Conference on Software Engineering and Knowledge Engineering"

共 35457 条记录，以下是101-110 订阅

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Unveiling Experts in Data Science: A Mining software Repository Perspective 36

Unveiling Experts in Data Science: A Mining Software Reposit...

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36th international conference on software engineering and knowledge engineering, SEKE 2024

作者： Ferreira, José Oliveira, Johnatan Figueiredo, Eduardo Brazil

ISBN: (纸本)1891706594

Data science is a field of knowledge that exploits various methods of collecting and analyzing data. Nowadays, data-driven software development is getting more common and multiple experts take part of the process, such as data scientists and software developers. Nevertheless, locating professionals who possess strong technical skills as a data scientist may be a difficult task because such data are not easy to verify. this paper explores the activity of data scientists in software repositories, such as commits, to identify their technical skills. By analyzing 18 data science projects, we identified 69 data scientists. A data science proficiency measurement was then conducted by counting and categorizing the number and types of applied changes. Our results shows that 68% of the data scientists are mono languages;i.e., they use a single programming language (Python). © 2024 knowledge Systems Institute Graduate School. All rights reserved.

关键词： Data Science

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Ontology of Online Management Tools Aimed at Artificial Management Implementation: An Example of Use in software Design 18

Ontology of Online Management Tools Aimed at Artificial Mana...

引用

18th international conference on Evaluation of Novel Approaches to software engineering (ENASE)

作者： Flak, Olaf Jan Kochanowski Univ Kielce Management Inst Fac Law & Social Sci Ul S Zeromskiego 5 PL-25369 Kielce Poland

ISBN: (纸本)9789897586477

After the first age of robotics in mechanical processes rapid development of computer science and Internet causes that AI will overwhelm team management in the future. Both, the rapid development of artificial intelligence in business management and the need of an adequate ontology to represent the organizational world has created a significant research gap. As the result of that the research problem should be solved: if it is possible to create a comprehensive, coherent and formalized methodological concept of the management sciences, which will allow to design and implement real artificial management. the aim of the paper is to present the solution to the research problem in its ontological part, and to show the use of such an ontology to replace the human manager with an artificial manager. the paper describes the definition of ontologies and the considerations for their creation in various software applications, presents the results of theoretical and practical research on the creation of a theoretical concept, called the system of organizational terms, which contains an ontology of organizational reality that meets the requirements for the practice of creating ontologies for software and enables the design and implementation of artificial managers.

关键词： Artificial Management Artificial Managers software Design System of Organizational Terms

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A Reflection on the Use of Systemic thinking in software Development 18

A Reflection on the Use of Systemic Thinking in Software Dev...

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18th international conference on Evaluation of Novel Approaches to software engineering (ENASE)

作者： Ciancarini, Paolo Farina, Mirko Kruglov, Artem Succi, Giancarlo thapaliya, Ananga Univ Bologna Bologna Italy Innopolis Univ Univ Skaya St 1 Innopolis Russia

ISBN: (纸本)9789897586477

the research examines the value and potential usefulness of using systemic thinking, which looks at the inter-connectedness of things, to comprehend the complexities of software development projects and the technical and human factors involved. It considers two different aspects of systemic thinking - psychological and sociological - and posits that these can assist in understanding how software teams function and attain their objectives, as well as the goals of the entities for which they work. Our research aims to provide a novel contribution to the field by investigating the use of systemic thinking in software development teams and organizations. We evaluate the reliability and validity of the survey applied to different groups of relevant participants, relate our findings to existing literature, and identify the most representative factors of systemic thinking. Despite the popularity of various factors that fall under the umbrella of 'systems thinking', there is limited understanding of their effectiveness in improving organizational performance or productivity, particularly when it comes to psychological and sociological systemic factors. the relationship between the use of systems thinking and organizational performance is often based on anecdotal evidence, rather than the identification and application of specific factors. Our work emphasizes the importance of understanding and applying such factors in order to build a solid foundation for the effective use of system dynamics and systems thinking tools, which is crucial for software development teams.

关键词： Systemic thinking software engineering External Factors

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A Formal Treatment of Performance Bugs 24

A Formal Treatment of Performance Bugs

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39th ACM/IEEE international conference on Automated software engineering (ASE)

作者： Al-Bataineh, Omar, I Gran Sasso Sci Inst Laquila Italy

ISBN: (数字)9798400712487

ISBN: (纸本)9798400712487

this paper describes a formal repair framework for performance bugs in loop programs, which are programming errors that slow down program execution. the approach is developed based on the observation that a program with a performance bug is a semantically correct program, but it may perform inefficiently for some inputs. this observation permits the formal treatment of performance bugs using the idea of program invariants, where the original program is augmented with a number of non-functional variables that are used to assess the efficiency of the patched version vs. the original program using the derived invariants. the proposed approach offers two major advantages compared to the conventional test-based patch validation approach. First, it enables the formal validation of patches using program verifiers. Second, it helps to assess the efficiency boost provided by the generated patches. To the best of our knowledge, the formal treatment of performance bugs has not been studied in the prior literature.

关键词： Computer bugs Programming Maintenance engineering software engineering

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Efficient Energy Savings through Adaptive Control Strategies in Photovoltaic Blinds 18

Efficient Energy Savings Through Adaptive Control Strategies...

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18th international conference on Indoor Air Quality and Climate, INDOOR AIR 2024

作者： Wei, Jiaze Mo, Jinhan College of Civil and Transportation Engineering Shenzhen University Shenzhen518060 China Beijing Key Laboratory of Indoor Air Quality Evaluation and Control Department of Building Science Tsinghua University Beijing100084 China

ISBN: (纸本)9798331306816

Photovoltaic (PV) blinds are integral to Building Integrated Photovoltaics (BIPV). this research delves into dynamically adjustable and adaptive control strategies, focusing on optimizing blind performance to meet the growing requirements of sustainable development. Leveraging machine learning algorithms and Energy Plus software, these blinds acquire adaptive capabilities, effectively responding to diverse environmental scenarios. the study emphasizes machine learning-driven adaptability, shedding light on broader environmental implications and paving the way for widespread adoption of sustainable energy practices. © 2024 18th conference of the international Society of Indoor Air Quality and Climate, INDOOR AIR 2024 - conference Program and Proceedings. All rights reserved.

关键词： Indoor air pollution

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12th international Workshop on Biological knowledge Discovery from Data, BIOKDD 2021, 5th international Workshop on Cyber-Security and Functional Safety in Cyber-Physical Systems, IWCFS 2021, 3rd international Workshop on Machine Learning and knowledge Graphs, MLKgraphs 2021, 1st international Workshop on Artificial Intelligence for Clean, Affordable and Reliable Energy Supply, AI-CARES 2021, 1st international Workshop on Time Ordered Data, ProTime2021 and 1st international Workshop on AI System engineering: Math, Modelling and software, AISys2021 held at 32nd international conference on Database and Expert Systems Applications, DEXA 2021

12th International Workshop on Biological Knowledge Discover...

引用

12th international Workshop on Biological knowledge Discovery from Data, BIOKDD 2021, 5th international Workshop on Cyber-Security and Functional Safety in Cyber-Physical Systems, IWCFS 2021, 3rd international Workshop on Machine Learning and knowledge Graphs, MLKgraphs 2021, 1st international Workshop on Artificial Intelligence for Clean, Affordable and Reliable Energy Supply, AI-CARES 2021, 1st international Workshop on Time Ordered Data, ProTime2021 and 1st international Workshop on AI System engineering: Math, Modelling and software, AISys2021 held at 32nd international conference on Database and Expert Systems Applications, DEXA 2021

ISBN: (纸本)9783030871000

the proceedings contain 23 papers. the special focus in this conference is on Database and Expert Systems Applications. the topics include: Semantic Influence Score: Tracing Beautiful Minds through knowledge Diffusion and Derivative Works;robust and Efficient Bio-Inspired Data-Sampling Prototype for Time-Series Analysis;membership-Mappings for Data Representation Learning: Measure theoretic Conceptualization;membership-Mappings for Data Representation Learning: A Bregman Divergence Based Conditionally Deep Autoencoder;data Catalogs: A Systematic Literature Review and Guidelines to Implementation;task-Specific Automation in Deep Learning Processes;approximate Fault Tolerance for Edge Stream Processing;deep Learning Rule for Efficient Changepoint Detection in the Presence of Non-Linear Trends;time Series Pattern Discovery by Deep Learning and Graph Mining;a Conceptual Model for Mitigation of Root Causes of Uncertainty in Cyber-Physical Systems;integrating Gene Ontology Based Grouping and Ranking into the Machine Learning Algorithm for Gene Expression Data Analysis;SVM-RCE-R-OPT: Optimization of Scoring Function for SVM-RCE-R;short-Term Renewable Energy Forecasting in Greece Using Prophet Decomposition and Tree-Based Ensembles;a Comparative Study of Deep Learning Approaches for Day-Ahead Load Forecasting of an Electric Car Fleet;Security-Based Safety Hazard Analysis Using FMEA: A DAM Case Study;Privacy Preserving Machine Learning for Malicious URL Detection;remote Attestation of Bare-Metal Microprocessor software: A Formally Verified Security Monitor;Provenance and Privacy in ProSA: A Guided Interview on Privacy-Aware Provenance;placeholder Constraint Evaluation in Simulation Graphs;Walk Extraction Strategies for Node Embeddings with RDF2Vec in knowledge Graphs;bridging Semantic Web and Machine Learning: First Results of a Systematic Mapping Study.

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SERGE - Serious Game for the Education of Risk Management in software Project Management 46

SERGE - Serious Game for the Education of Risk Management in...

引用

ACM/IEEE 44th international conference on software engineering: software engineering Education and Training (ICSE-SEET)

作者： Annunziata, Giusy Lambiase, Stefano Palomba, Fabio Ferrucci, Filomena Univ Salerno Salerno Italy

ISBN: (纸本)9798400704987

software Project Management is the systematic and disciplined approach for planning, executing, monitoring, controlling, and closing software development projects. Risk management is a key knowledge area that aims to react to the unpredictable events that often affect software projects. Teaching risk management is vital to equip individuals and organizations with the adapted skills to prevent and monitor challenges and potential issues. In this paper, we propose a serious game named SERGE, conceived to involve students in learning risk management and improve their skills through gamification and simulation of a real-world application context. the features for the design of SERGE were identified through a literature review. An iterative Game Design Phase was employed to build, test, and refine the design of SERGE. Finally, the proposed approach was assessed by conducting a controlled experiment to compare risk management skills acquired through a traditional lecture and using SERGE. the results show that adopting a serious game as SERGE, able to involve the students actively, can improve the acquisition of risk management skills.

关键词： Risk Management software Project Management software engineering Education Serious Games

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Towards Extracting Ethical Concerns-related software Requirements from App Reviews 24

Towards Extracting Ethical Concerns-related Software Require...

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39th ACM/IEEE international conference on Automated software engineering (ASE)

作者： Sorathiya, Aakash Ginde, Gouri Univ Calgary Calgary AB Canada

ISBN: (数字)9798400712487

ISBN: (纸本)9798400712487

As mobile applications become increasingly integral to our daily lives, concerns about ethics have grown drastically. Users share their experiences, report bugs, and request new features in application reviews, often highlighting safety, privacy, and accountability concerns. Approaches using machine learning techniques have been used in the past to identify these ethical concerns. However, understanding the underlying reasons behind them and extracting requirements that could address these concerns is crucial for safer software solution development. thus, we propose a novel approach that leverages a knowledge graph (KG) model to extract software requirements from app reviews, capturing contextual data related to ethical concerns. Our framework consists of three main components: developing an ontology with relevant entities and relations, extracting key entities from app reviews, and creating connections between them. this study analyzes app reviews of the Uber mobile application (a popular taxi/ride app) and presents the preliminary results from the proposed solution. Initial results show that KG can effectively capture contextual data related to software ethical concerns, the underlying reasons behind these concerns, and the corresponding potential requirements.

关键词： ethical concern user reviews app reviews knowledge graph mobiles apps software requirements analysis

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Mapping Process Mining Techniques to Agile software Development Perspectives 18

Mapping Process Mining Techniques to Agile Software Developm...

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18th international conference on Evaluation of Novel Approaches to software engineering (ENASE)

作者： Feres, Cyrine Ghannouchi, Sonia Ayachi Martinho, Ricardo Univ Sousse High Inst Management Sousse Sousse Tunisia Polytech Leiria ESTG INESCC DL Leiria Portugal

ISBN: (纸本)9789897586477

Agile software Development (ASD) processes have surfaced as an effective alternative for more efficient software project management. they concentrate on a set of informal best practices instead of a standardised process, making it difficult to determine the degree of real implementation in an organization. Process Mining (PM) can play a key role in such analysis by discovering the software development process model followed in a certain set of software projects, and by analysing event logs that report the projects' executed tasks. these discovered processes can then be compared to standardised ASD methods such as Scrum and eXtreme Programming (XP), and improved accordingly. Motivated by this, we present in this paper a literature review revealing the state of the art of Process Mining and its usage in ASD processes, but under a correlation between the three main research areas of PM (discovery, conformance, and enhancement), and the main ASD process perspectives including organisational/team, control-flow, quality, time, cost & risk, and data. We then analyse and discuss the results of this review quantitatively and qualitatively and prospect future opportunities for research accordingly.

关键词： Process Mining Agile software Development Processes Mapping

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Ethical Participatory Design: Collaborative app development as indigenization of software engineering: Ethical Participatory Design 24

Ethical Participatory Design: Collaborative app development ...

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18th Biennial Participatory Design conference - Reaching Out: Connecting Beyond Participation, PDC 2024

作者： Hinze, Annika Yeo, Alvin Paruru, Danny Department of Software Engineering University of Waikato Hamilton New Zealand Iwi Development Whakatohea Maori Trust Board Opotiki New Zealand

ISBN: (纸本)9798400706547

Participatory Design in software engineering often leads to end-users participating in projects centred around the software team, with the end-users being treated as "others". this exploratory paper describes a software project in Aotearoa New Zealand that uses the tools and methods of the indigenous end-user community to collaborate successfully with the software designers. the project is centred around, and led by, the indigenous community. We argue that the project, with its focus on place, tikanga, and belonging embodies the values of an ethics of restoration, and show-cases an example of ethical participatory design. © 2024 ACM.

关键词： Co-design

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