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检索条件"任意字段=19th International Conference on Software Engineering and Knowledge Engineering"

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Matching Corporate software Engineers and Data Offerings - from Discovery to Recommendations 19

Matching Corporate Software Engineers and Data Offerings - f...

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19th international Joint conference on Computer Science and software engineering (JCSSE)

作者： Martens, Benedikt Franke, Joerg Friedrich Alexander Univ Erlangen Germany

ISBN: (纸本)9781665485104

Data plays an essential role in developing software, especially in large and complex projects. Data can be collected from different stages of the software life cycle and can form the basis for decision-making and thereby the success of projects. With increasingly automated and tool-supported development landscapes, the amount of data that is generated and accessible rises as well. Large corporate software projects, in addition to generating data also give rise to a high volume of offerings based on the data. these aim to increase the value generated by stakeholders like developers, requirement engineers, and testers. the offering landscape brings new complexities and difficulties with it and needs to be managed, systematized, and brought to the correct person at the right time in order to create value. In this publication, models for abstracting and generalizing data offerings and data consumers are presented and their applicability is verified in a global corporate software environment. In addition, approaches for matching data offerings and consumers are presented. Our results show that offerings and consumers can be abstracted and matched using a recommender system.

关键词： empirical software development recommender system decision making software life cycle software artifacts corporate learning

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"Hybrid Work Provides the Best of both Worlds" software engineering Students' Perception of Group Work in Different Work Settings 26th

"Hybrid Work Provides the Best of both Worlds" Software Engi...

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26th international conference on Interactive Collaborative Learning (ICL) - Towards a Hybrid, Flexible and Socially Engaged Higher Education / 52nd IGIP international conference on engineering Pedagogy

作者： Ouhbi, Sofia Pombo, Nuno Uppsala Univ Dept Informat Technol Uppsala Sweden Univ Beira Interior Covilha Portugal

ISBN: (纸本)9783031526664;9783031526671

Productivity plays a crucial role in the success of any software project involving individuals. With the rise of hybrid work models due to the COVID-19 pandemic, both higher education and industry settings have witnessed significant changes in how group and individual productivity are perceived. this study aims to investigate software engineering students' perception of productivity across various group work settings and cultural contexts using a questionnaire-based approach. the study primarily focuses on assessing students' perspectives on self-productivity, teammates' productivity, and overall group productivity, along with their emotional experiences related to these factors. Seventy-seven university students from two European countries, namely Portugal and Sweden, voluntarily participated in this study. the results indicated that the majority of students who had experience with hybrid work expressed a preference for continuing this mode of work in future group projects. However, a few students expressed a desire to transition to either fully online or onsite work based on their positive or negative experiences collaborating with others. Additionally, the results revealed that cultural contexts had no significant influence on students' perception of productivity.

关键词： software engineering education hybrid students' perception

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Towards Assessing FAIR Research software Best Practices in an Organization Using RDF-star 19

Towards Assessing FAIR Research Software Best Practices in a...

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19th international conference on Semantic Systems, SEMPDS 2023

作者： Iglesias-Molina, Ana Garijo, Daniel Ontology Engineering Group Universidad Politécnica de Madrid Spain

An increasing number of scientists share the source code used or developed during their research (i.e., their research software) in open repositories, in order to support the results described in their publications. Recent best practices have been proposed by the community by aligning the Findable, Accessible, Interoperable and Reusable (FAIR) principles to Research software. However, there are currently no means to assess the systematic adoption of these practices in a research organization. In this poster, we propose an automated pipeline to transform the software metadata of an organization as a knowledge Graph in order to assess the current adoption of FAIR Research software best practices. Our poster shows results from our own Github organization, the Ontology engineering Group. © 2023 CEUR-WS. All rights reserved.

关键词： Metadata

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Dungeons, Dragons, and Emotions: A Preliminary Study of Player Sentiment in LLM-driven TTRPGs 19

Dungeons, Dragons, and Emotions: A Preliminary Study of Play...

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19th international conference on the Foundations of Digital Games (FDG)

作者： You, Xiao Taveekitworachai, Pittawat Chen, Siyuan Gursesli, Mustafa Can Li, Xiaoxu Xia, Yi thawonmas, Ruck Ritsumeikan Univ Ibaraki Osaka Japan Univ Florence Florence Italy

ISBN: (纸本)9798400709555

In this paper, we present a Tabletop Role-Playing game (TTRPG) driven by ChatGPT. Prompts are employed to instruct ChatGPT to act as Game Masters (GMs). In crafting each prompt to integrate a distinctive role, three roles denoted as Role 1, Role 2, and Role 3, are established. Subsequently, we perform pre-game and post-game emotional assessments employing the Positive and Negative Affect Schedule (PANAS) questionnaire to scrutinize players' emotional dynamics throughout the gaming experience. Upon analyzing the collected data, we observe that Role 1 and Role 2 affect players' positive emotions. Notably, Role 2 exhibits the most pronounced influence on players' positive emotions. Our findings demonstrate that a TTRPG GM powered by ChatGPT can significantly enhance players' positive emotions. this leads us to recognize that TTRPG GM powered by ChatGPT plays a positive role in enhancing the mental well-being of specific populations.

关键词： ChatGPT Prompt engineering Sentiment Analysis TTRPGs

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Understanding the Implications of Changes to Build Systems 24

Understanding the Implications of Changes to Build Systems

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

作者： Nejati, Mahtab Alfadel, Mahmoud McIntosh, Shane Univ Waterloo Software REBELs Waterloo ON Canada Univ Calgary Dept Comp Sci Calgary AB Canada

ISBN: (数字)9798400712487

ISBN: (纸本)9798400712487

the maintenance of build systems imposes a considerable overhead on software development. Since automated quality assurance methods are rarely applied to build specifications, the importance of the role peer code review plays in the maintenance of build systems is amplified. Yet prior work shows that the review process for build systems suffers from a lack of build experts and effective tooling. To support the understanding of changes to build specifications (a key stage in the review process), we propose BCIA-an approach to summarize the impact of changes to build specifications across the build configuration space. BCIA traverses the paths through which data and control flow in the prior and updated versions of the build system to generate an Impact knowledge Graph (IKG), which describes the impact of the change across the build configuration space. We develop BuiScout-a prototype implementation of BCIA for CMake-based build systems. We use BuiScout to evaluate our approach through an empirical study of 10,000 change sets that we mine from ten large open-source projects that span a total of 28 development years. Our findings indicate that BuiScout can detect an impact that propagates to unmodified parts of the build system in 77.37% of the studied change sets. these changes impact a median of 14 unmodified commands, with a median of 95.55% of the impacted commands per change set appearing in unmodified files. Our study suggests that dedicated approaches, such as BCIA, have the potential to alleviate the challenges developers face when assessing the impact of changes to build systems.

关键词： Build systems Build system maintenance Impact analysis

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Developing Deep Neural Net Controllers to Assure System Stability with Non-Zero Equilibrium Points 36

Developing Deep Neural Net Controllers to Assure System Stab...

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

作者： He, Xudong Florida International University Miami United States

ISBN: (纸本)1891706594

Cyber-physical systems (CPS) have become increasingly important in the functioning of our society. In recent years, machine learning (ML) approaches start to become an attractive choice to design CPS controllers for better performance and adaptability. How to assure the correctness of this type of new controllers is extremely difficulty and remains a grand research challenge. this paper presents a convex optimization-based technique for computing the stability regions of deep neural net (DNN) controllers for CPS. the technique has been successfully applied to three benchmark systems. © 2024 knowledge Systems Institute Graduate School. All rights reserved.

关键词： Deep reinforcement learning

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Towards Enhancing Mobile App Reviews: A Structured Approach to User Review Entry, Analysis and Verification 19

Towards Enhancing Mobile App Reviews: A Structured Approach ...

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19th international conference on Evaluation of Novel Approaches to software engineering, ENASE 2024

作者： Haggag, Omar Grundy, John Hoda, Rashina HumaniSE Lab. Department of Software Systems and Cybersecurity Faculty of IT Monash University Australia

ISBN: (纸本)9789897586965

We propose an approach to address the shortcomings of current mobile app review systems on platforms such as the Apple App Store and Google Play. Currently, these platforms lack review categorisation and authentication of genuine user feedback, posing significant barriers for app developers and users. We propose an approach combining socio-technical grounded theory (STGT) and advanced natural language processing (NLP) tools such as GPT-4 to analyse user reviews, providing deeper insights into app functionalities, problems, and ultimately, user satisfaction. An interactive UI prototype is presented to demonstrate the use of structured, verified feedback. this includes a novel review submission process with categorisation/tagging and a"verified download" tag to ensure review authenticity. the goal of our approach is to enhance the app ecosystem by assisting developers in prioritising improvements and enabling users to make informed choices, encouraging a more robust and user-centric digital marketplace. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Authentication

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Unlocking Adaptive User Experience with Generative AI 19

Unlocking Adaptive User Experience with Generative AI

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19th international conference on Evaluation of Novel Approaches to software engineering, ENASE 2024

作者： Huang, Yutan Kanij, Tanjila Madugalla, Anuradha Mahajan, Shruti Arora, Chetan Grundy, John Department of Software Systems and Cybersecurity Monash University Melbourne Clayton Australia

ISBN: (纸本)9789897586965

Developing user-centred applications that address diverse user needs requires rigorous user research. this is time, effort and cost-consuming. With the recent rise of generative AI techniques based on Large Language Models (LLMs), there is a possibility that these powerful tools can be used to develop adaptive interfaces. this paper presents a novel approach to develop user personas and adaptive interface candidates for a specific domain using ChatGPT. We develop user personas and adaptive interfaces using both ChatGPT and a traditional manual process and compare these outcomes. To obtain data for the personas we collected data from 37 survey participants and 4 interviews in collaboration with a not-for-profit organisation. the comparison of ChatGPT generated content and manual content indicates promising results that encourage using LLMs in the adaptive interfaces design process. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： User centered design

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Gamification of E-Learning Apps via Acceptance Requirements Analysis 19

Gamification of E-Learning Apps via Acceptance Requirements ...

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19th international conference on Evaluation of Novel Approaches to software engineering, ENASE 2024

作者： Calabrese, Federico Piras, Luca Al-Obeidallah, Mohammed Ghazi Egbikuadje, Benedicta Oghenevoke Alkubaisy, Duaa Department of Information Engineering and Computer Science University of Trento Trento Italy Department of Computer Science Middlesex University London United Kingdom Department of Software Engineering Al Ain University Abu Dhabi United Arab Emirates College of Applied Studies and Community Service Imam Abdulrahman Bin Faisal University Dammam Saudi Arabia

ISBN: (纸本)9789897586965

In the last few years, and particularly during and after the COVID-19 pandemic, E-Learning has become a very important and strategic asset for our society, relevant both for academic and industry settings, involving participants ranging from students to professionals. Different applications have been developed to support E-Learning to be an effective tool, particularly in relation to the software engineering and programming areas. However, in order to be effective, in particular within academic settings, such tools require students to be continuously engaged and motivated to learn both practical and theoretical aspects. the integration of gamification in educational environments has gained considerable prominence as a potential mean to augment students’ motivation and involvement, providing them with immediate feedback and reinforcement, bolstering their sense of accomplishment and motivation to persist in their studies. However, to design gamified applications that can effectively engage and motivate users, as the literature has demonstrated, it is required to consider psychological, sociological, and human behavioural aspects, often referred to as Acceptance Requirements. this study presents a case study, where a Goal Modeling-based, Systematic, Acceptance Requirements Analysis and Gamification Design process, has been applied, by using the Agon framework, to prototype a gamified tool, aiming at engaging students towards learning both theory and practice related to a "Web-Based Mobile App Development" university module. To evaluate our proposed prototype, students were involved to use our proposed gamified prototype. the results show that our gamification solution can engage and motivate students towards learning both theoretical and practical aspects of the module. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Requirements engineering

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Exploiting Patent Documents for Cross-Domain knowledge Transfer in Innovative engineering Design: A Doc2Vec-GAT-Based Approach 19

Exploiting Patent Documents for Cross-Domain Knowledge Trans...

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19th IEEE international conference on Automation Science and engineering, CASE 2023

作者： Li, Mingrui Wang, Zuoxu Yan, Zhijie Liu, Jihong School of Mechanical Engineering and Automation Beihang University Beijing China School of Software and Internet of Things Engineering Jiangxi University of Finance and Economics Nanchang China

ISBN: (纸本)9798350320695

the innovative design of complex engineering products is a knowledge-intensive and technology- driven task. Since technologies with the same functions could be deployed in similar situations under different domains, cross-domain knowledge transfer would prosper the success of innovative engineering product design. However, transferring proper specialized domain knowledge faces the defect of returning arbitrary results. One of the causes is the insufficient knowledge mining of the knowledge resources. Given that patents are high-quality knowledge resources in almost all technological fields, this study presents a Doc2Vec-Graph Attention Network (GAT)-based approach to exploit patent documents for cross-domain knowledge transfer. First, a three-dimensional patent knowledge model containing domain, function, and technology was built to define the key features of patent contents. Second, an approach integrating Doc2Vec and GAT was proposed to learn the patent content and patent citation relationships respectively, thereafter constructing a patent knowledge space. third, to formalize the designer queries, a knowledge requirement space is established by matching the vectorized queries to the most similar patents. Finally, a cross-domain knowledge transfer mechanism is proposed based on a diversified searching method to map the knowledge requirement space to the patent knowledge space. A case study of the knowledge transfer on a sealing structure design of aircraft fuel tank and quantitative comparative experiments verified the feasibility of our approach. © 2023 IEEE.

关键词： knowledge management

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