Article
Humanities, Multidisciplinary
Alexandra Albert
Summary: Citizen social science (CSS) challenges the traditional research approach and questions the process of data collection and usage.
HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS
(2021)
Article
Mathematics
Zhiwu Zhou, Julian Alcala, Victor Yepes
Summary: This study aims to establish an international framework for sustainable engineering project management and provide a scientific theoretical basis. By using literature review, mathematical algorithms, and case studies, the research identified deficiencies in the project management system, established a mathematical model for analyzing the optimal international project management system, and verified the theoretical system's superiority and practicality in promoting the sustainable development of bridges.
Article
Public, Environmental & Occupational Health
Patricia A. Campbell
Summary: Recent literature in the public understanding of science has shifted towards encouraging public participation and dialogue rather than the deficit model of public communication. This study examines how laypersons engage in self-care practices and collectively negotiate medical expertise in an online environment. Through interviews and observations, the study analyzes the production of knowledge within a wellness community and suggests that the logic of care has the potential to bridge the expert/lay boundary in medical expertise.
SOCIAL SCIENCE & MEDICINE
(2021)
Article
Computer Science, Software Engineering
Yogeshwar Shastri, Rashina Hoda, Robert Amor
Summary: Agile teams typically do not have project managers, but instead rely on roles such as product owner, Scrum master, and coach for coordination. However, studies have shown the presence of project managers in agile projects, highlighting a disconnect between theory and practice. Project managers in agile projects play various roles, including facilitating, mentoring, negotiating, and protecting.
JOURNAL OF SYSTEMS AND SOFTWARE
(2021)
Article
Computer Science, Artificial Intelligence
Marcin Relich, Grzegorz Bocewicz, Katarzyna Rostek, Zbigniew A. Banaszak
Summary: This article introduces a method for addressing project prototyping problems using artificial neural networks and constraint programming to search for possible project completion scenarios, assisting decision makers in obtaining alternative solutions within the limits imposed by project requirements.
IEEE INTELLIGENT SYSTEMS
(2021)
Article
Computer Science, Information Systems
Xing Zong, Guiyu Li, Shang Zheng, Haitao Zou, Hualong Yu, Shang Gao
Summary: Heterogeneous Cross-Project Defect Prediction (HCPDP) aims to learn a prediction model from a heterogeneous source project and apply it to a target project. This paper introduces optimal transport (OT) theory to establish the relationship between source and target data distributions and proposes two prediction algorithms based on OT theory. Experimental results demonstrate the effectiveness of the proposed methods in helping developers identify defects in the early phase of software development.
Review
Chemistry, Multidisciplinary
Mohammed Najah Mahdi, Mohd Hazli Mohamed Zabil, Abdul Rahim Ahmad, Roslan Ismail, Yunus Yusoff, Lim Kok Cheng, Muhammad Sufyian Bin Mohd Azmi, Hayder Natiq, Hushalini Happala Naidu
Summary: Project management planning and assessment play a crucial role in project performance. This study provides an in-depth examination of the application of Machine Learning in software project management, with a focus on the importance of risk assessment. The research highlights the success of project risk assessment through machine learning techniques.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Information Systems
Inger Anne Tondel, Daniela Soares Cruzes, Martin Gilje Jaatun, Guttorm Sindre
Summary: This article explores the strategies used by a security professional to influence the priority of security in software development projects in SMEs. It presents a model of influences on security prioritisation and outlines two alternative strategies for software security in Agile Software Development.
COMPUTERS & SECURITY
(2022)
Article
Computer Science, Information Systems
Yousef-Awwad Daraghmi, Eman-Yasser Daraghmi
Summary: This paper proposes a framework that integrates Rapid Application Development (RAD) method with Participatory Design (PD) method for enabling rapid production of usable systems. The framework was empirically assessed and the results show that it satisfies the requirements of adopting software development methods and the system developed using the framework is usable. The study also highlights the impact of COVID19 on software development, emphasizing rapid development while maintaining workflow, and the benefits of using video conference for remote design.
Article
Computer Science, Software Engineering
Karl Werder, Ye Li, Alexander Maedche, Balasubramaniam Ramesh
Summary: Software development process ambidexterity (SDPA) is the ability to demonstrate both process alignment and process adaptability simultaneously, and the effects of SDPA on project performance are mediated by coordination costs and coordination effectiveness in software development projects.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
(2021)
Article
Multidisciplinary Sciences
Lukasz Kanski, Katarzyna Budzynska, Jan Chadam
Summary: This study aims to answer the question of whether the implementation of an agile approach to project management can contribute to project success. Through survey and analysis, it was found that a high level of agility is essential for successful projects, and the people and interactions between them, as well as self-organising teams, are crucial factors for positive evaluation of project activities. The conclusion drawn is that the synergy of individual agile components should be applied to increase the chances of project success.
Article
Computer Science, Artificial Intelligence
Hong Wang
Summary: In order to improve the decision-making effect of regional economic development, this paper analyzes the decision-making model of regional economic development in combination with the engineering management process and proposes a density-based outlier detection algorithm. By analyzing the process and characteristics of the LOF algorithm, adopting the ZH-tree index structure based on the space filling curve and improving it appropriately, the clustering feature can help to quickly search for neighbors of objects, and the hierarchical structure can perform effective spatial pruning to reduce unnecessary computation. Experimental research shows that the decision-making model of regional economic development based on intelligent analysis of project management proposed in this paper can effectively improve the decision-making effect of regional economy.
APPLIED ARTIFICIAL INTELLIGENCE
(2023)
Article
Green & Sustainable Science & Technology
Cristian Fagarasan, Ciprian Cristea, Maria Cristea, Ovidiu Popa, Adrian Pisla
Summary: In today's rapidly evolving information technology sectors, agile methodologies have been employed to facilitate the large-scale, efficient, and swift development of digital products. This paper proposes a data-driven scoring model to integrate sustainability metrics into project and portfolio performance assessment for software firms. Through a thorough literature review and a case study, the findings reveal that the model influences the performance and sustainability dynamics within software development entities. The insights gained from this study underscore the pivotal role of a harmonized delivery and sustainability metrics system in enhancing the sustainability and efficiency of software development undertakings.
Article
Mathematics
Saulius Gudas, Karolis Noreika
Summary: This article discusses the management issues of Agile approach in Enterprise Application Software development and proposes a rethinking of Agile project management using causal modelling approach. By introducing the concept of management transactions and modifying the Agile activities hierarchy, better coordination and tracking of EAS project content can be achieved, resulting in improved project delivery success.
Article
Computer Science, Software Engineering
Gabriela Castro Flores, Ana M. Moreno, Lawrence Peters
Summary: This study examines the relationship between Agile practices and software project management, specifically looking at how Agile can help mitigate various SPM antipatterns. The findings may be particularly beneficial for organizations transitioning to Agile methodologies.
Article
Computer Science, Information Systems
Hao Ren, Yanhui Li, Lin Chen, Yuming Zhou, Changhai Nie
Summary: This study aims to explore the breakable blocking bugs (BBBs) through quantitative and qualitative analysis. The analysis reveals that BBBs have higher levels of involvement, longer fix time, and more complex source code compared to other bugs. The study also identifies four reasons for breaking blocking relationships between bugs and three measures adopted by developers to break these relationships.
INFORMATION AND SOFTWARE TECHNOLOGY
(2024)
Article
Computer Science, Information Systems
Chunyong Zhang, Tianxiang Yu, Bin Liu, Yang Xin
Summary: This paper proposes a vulnerability detection framework based on federated learning (VDBFL), which combines code property graph, graph neural networks, and convolutional neural networks to detect vulnerability code. The experimental results show that this method outperforms other vulnerability detection methods.
INFORMATION AND SOFTWARE TECHNOLOGY
(2024)
Article
Computer Science, Information Systems
Martin Stancek, Ivan Polasek, Tibor Zalabai, Juraj Vincur, Rodi Jolak, Michel Chaudron
Summary: The aim of this research is to support distributed software design activities in Virtual Reality (VR). Using design science research methodology, a tool for collaborative design in VR is designed and evaluated. The efficiency of collaboration and recall of design information when using VR software design environment compared to non-VR environment are evaluated. Furthermore, the perceptions and preferences of users are collected to explore the opportunities and challenges of using VR software design environment.
INFORMATION AND SOFTWARE TECHNOLOGY
(2024)
Article
Computer Science, Information Systems
Zhen Yang, Jacky Wai Keung, Zeyu Sun, Yunfei Zhao, Ge Li, Zhi Jin, Shuo Liu, Yishu Li
Summary: This paper presents MetaCoder, a meta-learning code generation approach that efficiently extracts general-purpose knowledge from large-scale source languages and rapidly adapts to domain-specific scenarios.
INFORMATION AND SOFTWARE TECHNOLOGY
(2024)
Article
Computer Science, Information Systems
Pilsu Jung, Seonah Lee, Uicheon Lee
Summary: This study proposes an automated code-based approach (ActSPL) for reusing SPL test cases by utilizing source code and test cases. The results show that ActSPL achieves high precision and recall, and significantly reduces the time required for testing a new product.
INFORMATION AND SOFTWARE TECHNOLOGY
(2024)
Article
Computer Science, Information Systems
Chao Liu, Runfeng Cai, Yiqun Zhou, Xin Chen, Haibo Hu, Meng Yan
Summary: This paper conducts an empirical study on the implementation issues of deep learning frameworks, focusing on relevant questions on Stack Overflow. The study identifies various implementation issues and constructs a taxonomy, revealing that data processing, model setting, model training, and model prediction are the most common categories. The paper also provides suggestions for future research and aims to help developers and researchers understand these issues better.
INFORMATION AND SOFTWARE TECHNOLOGY
(2024)
Article
Computer Science, Information Systems
Muhammad Azeem Akbar, Arif Ali Khan, Mohammad Shameem, Mohammad Nadeem
Summary: This study identifies key variables in quantum software development (QSD) and develops a model for predicting the success probability of QSD projects. The results show that as the QSD process matures, project success probability significantly increases and costs are notably reduced. The developed prediction model can help practitioners focus on key areas for successful implementation of QSD projects.
INFORMATION AND SOFTWARE TECHNOLOGY
(2024)
Article
Computer Science, Information Systems
Md. Shamsujjoha, John Grundy, Hourieh Khalajzadeh, Qinghua Lu, Li Li
Summary: This paper investigates the challenges and benefits of incorporating human aspects into eHealth app development and usage from the perspectives of developers and end-users. The study used a mixed-method approach and gathered data from online surveys and interviews. The findings suggest that addressing human aspects throughout the app development life-cycle is beneficial for more effective eHealth apps.
INFORMATION AND SOFTWARE TECHNOLOGY
(2024)
Article
Computer Science, Information Systems
Yuchao Jiang, Boualem Benatallah, Marcos Baez
Summary: This paper reports on interviews and surveys with early-stage researchers (ESRs) and explores the potential of online research communities in supporting ESRs to learn from diverse perspectives and experiences. The results reveal the limited adoption of research communities for learning and identify unmet needs in their design. Design implications for future socio-technical systems are provided to support the development of research skills.
INFORMATION AND SOFTWARE TECHNOLOGY
(2024)
Article
Computer Science, Information Systems
Jyoti Prakash Meher, Sourav Biswas, Rajib Mall
Summary: Accurate bug classification is important for speeding up bug triage, code inspection, and repair tasks. To improve classification, this study proposes a novel bug classification approach based on deep learning. The approach includes building a bug taxonomy with eight bug classes using keywords, annotating a large set of bug resolution reports, and utilizing attention-based classification techniques. Experimental results show that the proposed technique outperforms existing methods in terms of F1-Score by an average of 16.88% on the considered dataset.
INFORMATION AND SOFTWARE TECHNOLOGY
(2024)
Article
Computer Science, Information Systems
Rodrigo Santos, Eleni Constantinou, Pablo Antonino, Jan Bosch
Summary: In the last decade, software engineering has faced challenges beyond technical aspects. The field now considers technological, organizational, and social aspects together in research and practice to handle complexity and provide solutions to the industry's demands. Systems-of-systems (SoS) and software ecosystems (SECO) have emerged as topics of interest, bringing together researchers and practitioners to understand how to manage and engineer software-intensive systems in modern, complex, distributed, dynamic, and open environments.
INFORMATION AND SOFTWARE TECHNOLOGY
(2024)
Article
Computer Science, Information Systems
Zhuo Wu, Zan Wang, Junjie Chen, Hanmo You, Ming Yan, Lanjun Wang
Summary: In this paper, a statistical method called Stratified random Sampling with Optimum Allocation (SSOA) is proposed to provide an unbiased estimation of model accuracy with the smallest estimation variance. The unlabeled test set is first divided into strata based on predictive confidences. Then, two stratum accuracy variance estimation methods are designed to allocate the given budget to each stratum based on the optimum allocation strategy. Multiple experiments are conducted to evaluate the effectiveness and stability of SSOA by comparing it with baseline methods.
INFORMATION AND SOFTWARE TECHNOLOGY
(2024)
Review
Computer Science, Information Systems
Jorge Chueca, Javier Veron, Jaime Font, Francisca Perez, Carlos Cetina
INFORMATION AND SOFTWARE TECHNOLOGY
(2024)
