Article
Computer Science, Information Systems
Ana Gjorgjevikj, Kostadin Mishev, Ljupcho Antovski, Dimitar Trajanov
Summary: Machine learning methods have brought revolutionary changes to various domains and provided solutions to previously unsolvable problems. With the availability of large amounts of data, powerful processing architectures, and user-friendly software frameworks, machine learning has become a popular and affordable option. However, the development and maintenance of production-level machine learning systems are challenging and require engineering approaches and best practices.
Article
Computer Science, Software Engineering
James Tizard, Peter Devine, Hechen Wang, Kelly Blincoe
Summary: User feedback is a valuable resource in software development, and analyzing feedback from online channels has gained attention from researchers. In this study, we analyze the feedback in the product forums of two open source software projects and find that it is often linked to issue tracker entries and product documentation. By linking feedback to existing documentation, development teams gain a better understanding of known issues and provide users with known solutions. We apply deep-learning techniques to match forum posts with issue tracker entries and product documentation, achieving promising results.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Xinwei Zhang, Jing Li, Hakki Eres, Chen Zheng
Summary: Requirements evaluation is crucial for the successful development of a product-service system (PSS), with interactions among PSS requirements significantly impacting decision-making processes. Existing methods often focus on requirements prioritization, overlooking the aggregation of interacting PSS requirements. A proposed systematic method integrates rough-fuzzy DEMATEL, 2-additive fuzzy measures, and the Choquet integral to non-additively aggregate interacting PSS requirements for development and prioritization.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Computer Science, Software Engineering
Kashumi Madampe, Rashina Hoda, John Grundy
Summary: The study utilized a mixed-methods approach to examine Requirements Changes (RCs) in agile environments, identifying key characteristics and producing a taxonomy to guide software practitioners in managing RC-related issues.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
(2022)
Article
Health Care Sciences & Services
Benjamin Kinast, Hannes Ulrich, Bjoern Schreiweis
Summary: In patient care, data silos are limiting the accessibility of health data. Medical informatics is developing ways to move from siloed data to a more harmonized arrangement. This study aims to provide a catalog of functional requirements for integrating medical data into knowledge management environments and found 220 distinct requirements from 61 publications.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2023)
Article
Computer Science, Information Systems
Maryam Gillani, Hafiz Adnan Niaz, Ata Ullah
Summary: This paper aims to explore and discuss the application and importance of software architecture in requirement engineering through a systematic literature review. It also identifies the challenges and methods in bridging the gap between requirements and architecture. Furthermore, a resource bank is created to provide relevant software architecture tools and techniques for effective requirement engineering.
Article
Computer Science, Theory & Methods
Jean-Michel Bruel, Sophie Ebersold, Florian Galinier, Alexandr Naumchev, Manuel Mazzara, Bertrand Meyer
Summary: The quality of software systems is greatly influenced by the quality of requirements, which should be both understandable and precise. Researchers advocate the use of formal methods to make requirements precise, with various approaches available based on different styles, scopes, and applicability. The survey compares formal approaches to informal methods using nine criteria and classifies them into five categories, discussing open questions such as seamlessness and the role of tools and education in benefiting from formal approaches in industrial applications.
ACM COMPUTING SURVEYS
(2021)
Article
Computer Science, Artificial Intelligence
Khlood Ahmad, Mohamed Abdelrazek, Chetan Arora, Arbind Agrahari Baniya, Muneera Bano, John Grundy
Summary: This paper presents a new framework based on human-centered AI guidelines and a user survey to collect requirements for human-centered AI-based software. The framework is applied to a case study for enhancing the quality of 360 degrees videos for VR users. The approach helps the project team understand the human-centered needs of the project and capture requirements at different stages of the engineering process of AI-based software.
APPLIED SOFT COMPUTING
(2023)
Article
Computer Science, Software Engineering
Dulaji Hidellaarachchi, John Grundy, Rashina Hoda, Ingo Mueller
Summary: Requirements Engineering (RE)-related activities heavily rely on collaboration between various roles in software engineering (SE), making it highly human-dependent. This study aims to understand the influence of human aspects, particularly motivation and personality, on RE-related activities from the perspective of software practitioners. The findings highlight the importance of motivation, domain knowledge, attitude, communication skills, and personality in RE-related activities, providing insights into key motivational factors and desirable personality characteristics for effective involvement in RE. The study also identifies areas needing further investigation and provides recommendations for future research.
ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY
(2023)
Article
Mathematics
Chetna Gupta, Varun Gupta
Summary: This paper proposes a requirements risk management model for IoT systems that estimates requirements risk by considering both customer and developer perceptions. The model uses intuitionistic fuzzy logic and analytical techniques to handle the uncertainty and vagueness of human perception, providing well-defined indicators of customer value and risk.
Article
Computer Science, Information Systems
Ahmad F. Subahi
Summary: Greening software requirements refers to the incorporation of sustainability principles during the requirements engineering phase of the development life cycle. This can have various effects on software design, such as addressing energy and resource consumption, modularity, maintainability, and adaptability. In this study, a new mechanism is proposed for mapping software nonfunctional requirements to defined dimensions of green software sustainability using the BERT language model. The results demonstrate the effectiveness of this approach in text classification tasks and highlight the importance of domain-specific fine-tuning and transfer learning in requirements engineering for achieving high performance.
Article
Computer Science, Artificial Intelligence
Zhihua Chen, Tongtong Zhou, Xinguo Ming, Xianyu Zhang, Rui Miao
Summary: This study proposes a systematic approach to optimize the configuration of smart product service solutions, aiming to achieve the best synergy between smart capability and value. The approach includes using a new attributes system to describe smart service module instances, employing a novel rough-fuzzy data envelopment analysis method to handle hybrid uncertainties in the configuration environments, and solving a bi-objective optimization model using an adaptive non-dominated sorting genetic algorithm to obtain optimized configuration solutions.
ADVANCED ENGINEERING INFORMATICS
(2022)
Article
Computer Science, Hardware & Architecture
Sajad Khorsandroo, Adrian Gallego Sanchez, Ali Saman Tosun, Jm Arco, Roberto Doriguzzi-Corin
Summary: SDN is seen as a new and futuristic networking paradigm adopted by large network and cloud providers, but its deployment requires significant time and resources. As a compromise solution, Hybrid SDN (hSDN) combines SDN functionalities with traditional network infrastructures, making it a viable networking solution for various businesses and organizations. In recent years, hSDN research has expanded significantly, showcasing its potential in the networking industry.
Article
Computer Science, Artificial Intelligence
Artem Kruglov, Dragos Strugar, Giancarlo Succi
Summary: The research on tailored dashboards, while introduced almost three decades ago, has not received much attention until recent years. New tailoring mechanisms are showing common patterns, but the lack of empirical data from existing solutions has led to vaguely described research designs and overlooked practical issues.
PEERJ COMPUTER SCIENCE
(2021)
Article
Engineering, Aerospace
Ricardo Eito-Brun, Antonio Amescua-Seco
Summary: This paper discusses the increasing role of small companies in aerospace projects in the Space 2.0 era, as well as the challenges they face with software development standards. The publication of the ISO/IEC 29110 series of systems and software engineering standards and guides in recent years aims to address the needs of Very Small Entities (VSEs) and solve the issues they face with other standards.
ADVANCES IN SPACE RESEARCH
(2021)
Article
Computer Science, Information Systems
David Soto Setzke, Tobias Riasanow, Markus Boehm, Helmut Krcmar
Summary: Digital technologies are transforming the way organizations design services, and digital transformation strategies are used to transition from product-centric to service-centric business models. However, little is known about the configurations of these strategies that lead to successful digital service innovation (DSI). This study identifies different configurations of digital transformation strategies that contribute to both successful and unsuccessful DSI. The threat of digital disruption negatively impacts innovation activities, strategic partnerships are important for organizations facing digital disruption, and the involvement of C-level executives is crucial for successful DSI.
INFORMATION SYSTEMS FRONTIERS
(2023)
Article
Computer Science, Information Systems
Maximilian Schreieck, Manuel Wiesche, Helmut Krcmar
Summary: Innovation platforms allow companies to create extensive and dynamic portfolios of applications, and many traditional industries are now exploring their potential. However, when introducing these platforms, companies face tensions between the corporate center and business units. To address these tensions, companies need to evolve their IT governance, support the development of business units, and prioritize them over external collaborators.
EUROPEAN JOURNAL OF INFORMATION SYSTEMS
(2023)
Article
Business
Naim Zierau, Christian Hildebrand, Anouk Bergner, Francesc Busquet, Anuschka Schmitt, Jan Marco Leimeister
Summary: Through four studies, this research demonstrates that voice-based interfaces enhance user experience, positively influence service experiences, and benefit firm outcomes. The findings also identify two boundary conditions that reduce the flow-like user experiences in voice-based interfaces. These findings have important implications for improving consumers' service experiences and the design of voice-based interfaces.
JOURNAL OF THE ACADEMY OF MARKETING SCIENCE
(2023)
Article
Education & Educational Research
Sofia Marlena Schoebel, Andreas Janson, Jan Marco Leimeister
Summary: Online training plays a significant role in management learning, but learners often face stress and decreased motivation in online environments. To enhance motivation and emotional engagement, gamification elements can be used, although they do not necessarily lead to improved learning outcomes. This study demonstrates that points and badges do not directly improve problem-solving skills, but instead influence them through emotional engagement. Additionally, satisfaction with the gamification learning process positively correlates with emotional engagement. Educators should consider student engagement and learning environment design when creating online training programs.
JOURNAL OF MANAGEMENT EDUCATION
(2023)
Article
Computer Science, Information Systems
Ernestine Dickhaut, Andreas Janson, Matthias Soellner, Jan Marco Leimeister
Summary: The pressure to develop lawful IT artefacts has increased due to new political objectives, emerging regulatory regimes, and higher penalties for violations. Designing IT artefacts lawfully from the beginning is a more attractive approach, but it is challenging due to the technology-neutral nature of the law and the costly communication between legal experts and developers. One possible solution is to use design patterns that convey legal design knowledge and support developers in determining appropriate design options. A framework for lawful design patterns is developed and demonstrated using the example of AI-based assistants and GDPR regulation.
EUROPEAN JOURNAL OF INFORMATION SYSTEMS
(2023)
Article
Business
Altus Viljoen, Kai Klinker, Manuel Wiesche, Falk Uebernickel, Helmut Krcmar
Summary: This article presents design principles for mHealth application development in rural parts of developing countries based on literature and field studies. These principles were applied to a project focused on treating noncommunicable diseases in rural areas of Kenya, resulting in a functioning mobile application and collaborative support community for patients.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2023)
Article
Computer Science, Information Systems
Sofia Schoebel, Anuschka Schmitt, Dennis Benner, Mohammed Saqr, Andreas Janson, Jan Marco Leimeister
Summary: Conversational agents (CAs) have evolved significantly from their early days in the 1960s to today's generative models. Technological advancements have enabled more natural and effortless interactions, as well as deployment in various domains. Through a bibliometric study of over 5000 research articles, we identify five waves of CA research that describe the past, present, and potential future of the field. Our findings highlight important technical developments and theoretical paradigms in CA research, and we discuss the influence of emerging technologies like OpenAI GPT and BLOOM NLU on the future direction of CAs.
INFORMATION SYSTEMS FRONTIERS
(2023)
Article
Computer Science, Information Systems
Christian Engel, Edona Elshan, Philipp Ebel, Jan M. Leimeister
Summary: Cognitive automation (CA) extends rule-based business process automation by targeting cognitive knowledge and service work. CA offers organizations the opportunity to automate tasks and processes that were previously unimaginable, providing a significant competitive advantage. However, organizations face challenges in determining the potential for CA in different use cases, leading to low adoption and high project failure rates. To address this, a model for assessing use cases' suitability for CA is proposed, considering cognition, data, relationship, and transparency requirements. The model's generalizability is validated through internal and external evaluations in different industries.
JOURNAL OF INFORMATION TECHNOLOGY
(2023)
Article
Business
Sofia Marlena Schoebel, Jan Marco Leimeister
Summary: Traditionally, the metaverse has been defined as a virtual reality space where users can interact with a computer-generated environment and other users. However, nowadays it is much more than that - the metaverse can be described as a variety of digital platforms and ecosystems, each with its own unique features. This fundamental paper defines the metaverse as a massively scaled and interoperable meta-ecosystem of real-time rendered 3D virtual worlds, offering vast opportunities for digital innovations.
ELECTRONIC MARKETS
(2023)
Article
Operations Research & Management Science
Sina Zimmermann, Thomas Schulz, Andreas Hein, Heiko Gewald, Helmut Krcmar
Summary: The urgency of climate change is evident worldwide, and the main cause of environmental damage is private car use for everyday commuting. This study examines the effects of digital nudging, such as trip recommendations, on commuters' choice of transportation. The results show that recommendations have a significant positive effect on commuters with short travel times who do not typically use mobility apps, providing practical implications for encouraging the switch from private cars to public transportation.
JOURNAL OF DECISION SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Johannes Rank, Jonas Herget, Andreas Hein, Helmut Krcmar
Summary: As Big Data and distributed stream processing systems (DSPSs) become more complex, it becomes increasingly difficult to effectively manage performance and meet service level objectives (SLOs). CPU efficiency is crucial in evaluating DSPS performance, and developing new performance tools for efficient DSPS creation is essential, particularly in edge computing and large cloud deployments.
BIG DATA AND COGNITIVE COMPUTING
(2023)
Article
Computer Science, Information Systems
Mahei Manhai Li, Philipp Reinhard, Christoph Peters, Sarah Oeste-Reiss, Jan Marco Leimeister
Summary: This article introduces a novel human-in-the-loop (HIL) design for ITSM support ticket recommendations by incorporating a value co-creation perspective. The design incentivizes ITSM agents to provide labels during their everyday ticket-handling procedures, and the evaluation shows that recommendations after label improvement have increased user ratings.
INFORMATION SYSTEMS
(2024)
Article
Education & Educational Research
Eva Ritz, Roman Rietsche, Jan Marco Leimeister
Summary: With the increasing prevalence of technology-enhanced learning environments, self-regulated learning (SRL) has become a crucial skill for management students and graduates in the 21st century. This study developed and embedded a technology-based intervention in a large-scale management course to promote graduate students' SRL practices. The intervention included temporal-proximate and regular formative feedback assessments. The evaluation of the intervention found that students with the embedded SRL intervention had higher self-assessment and learning outcome scores. The study contributes to understanding students' SRL strategies during emergency remote learning and provides an empirically evaluated intervention to foster SRL in blended learning and online pedagogies.
ACADEMY OF MANAGEMENT LEARNING & EDUCATION
(2023)
Article
Computer Science, Information Systems
Edona Elshan, Philipp Ebel, Matthias Soellner, Jan Marco Leimeister
Summary: Smart personal assistants (SPAs) like Alexa promise individualized user interactions, but using low code environments alone does not guarantee a good conversation. In this study, we propose the SPADE method to support domain experts in developing effective SPAs with conversational and anthropomorphic design steps. Our proof of concept and proof of value results show that SPADE is useful in different domains beyond private set-ups.
JOURNAL OF MANAGEMENT INFORMATION SYSTEMS
(2023)
Article
Psychology, Multidisciplinary
Yvonne Berkle, Lukas Schmitt, Antonia Tolzin, Andreas Janson, Thiemo Wambsganss, Jan Marco Leimeister, Miriam Leuchter
Summary: Theory argumentation is crucial for academic disciplines, but students lack argumentation skills. This study developed an instrument to measure the recognition of argument structures and fallacies among preservice teachers and business economics students. The study found differences in the recognition of congruent and incongruent fallacies based on dual process theories.
FRONTIERS IN PSYCHOLOGY
(2023)
