Article
Computer Science, Software Engineering
Ayse Tosun, Oscar Dieste, Sira Vegas, Dietmar Pfahl, Kerli Rungi, Natalia Juristo
Summary: Reviews on test-driven development (TDD) studies reveal that unobserved factors, such as tasks used in experiments, play a crucial role in the conflicting results reported. This study investigates the impact of task selection and development approach on external quality, finding that ITLD method and working on the Bowling Score Keeper task lead to higher quality code production by participants. These findings suggest that variables like task specification and developers' unit testing experience should be further explored in TDD experiments to improve real-world application and quality outcomes.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
(2021)
Article
Computer Science, Software Engineering
Maria Teresa Baldassarre, Danilo Caivano, Davide Fucci, Natalia Juristo, Simone Romano, Giuseppe Scanniello, Burak Turhan
Summary: This study found that TDD did not affect the external quality of software products or developers' productivity, but it did lead to developers producing more tests with higher fault-detection capability. Additionally, novice developers were able to retain the skill of using TDD for at least six months.
JOURNAL OF SYSTEMS AND SOFTWARE
(2021)
Article
Medicine, General & Internal
Hui Jai Lee, Byuk Sung Ko, Seung Mok Ryoo, Eunah Han, Gil Joon Suh, Sung-Hyuk Choi, Sung Phil Chung, Tae Ho Lim, Won Young Kim, Woon Yong Kwon, Sung Yeon Hwang, You Hwan Jo, Jonghwan Shin, Tae Gun Shin, Kyuseok Kim
Summary: The Sepsis-3 criteria introduced the use of the Sequential Organ-Failure Assessment (SOFA) score to define sepsis. This study aimed to develop and validate a modified Cardiovascular SOFA (CV SOFA) score, considering changes in recommended vasopressors. The modified CV SOFA score showed higher predictive validity and identified more patients at risk of septic mortality among patients with suspected infection, sepsis, and septic shock.
Article
Computer Science, Artificial Intelligence
Taiyu Ban, Xiangyu Wang, Lyuzhou Chen, Xingyu Wu, Qiuju Chen, Huanhuan Chen
Summary: This article proposes a method for evaluating the quality of knowledge in multisource knowledge graphs, combining internal consistency and external consistency, to reduce the interference of incorrect knowledge and improve the evaluation of triples.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Business, Finance
Haiyan Zhang, Shizheng Dong
Summary: This paper examines the effects of digital transformation on firms' total factor productivity (TFP) and its underlying mechanisms using panel data from Chinese A-share listed companies between 2013 and 2021. By employing panel regression and mediation effect models, the findings demonstrate that digital transformation significantly enhances a firm's TFP. Furthermore, it is revealed that digital transformation fosters TFP growth by enhancing the quality of internal control. This article offers novel insights into the mechanistic pathways through which digital transformation influences firm productivity.
FINANCE RESEARCH LETTERS
(2023)
Article
Psychology, Multidisciplinary
Claudia Ferreira, Mariana Moura-Ramos, Marcela Matos, Ana Galhardo
Summary: Shame plays a central role in psychosocial functioning and can be divided into two dimensions: external shame and internal shame. This study developed a questionnaire, the EISS, to measure these dimensions and tested it in a community sample. Results showed that the EISS had good internal consistency and validity, making it an important tool for clinical work and research in human psychological functioning.
CURRENT PSYCHOLOGY
(2022)
Article
Management
Ming-Chun Tsai, Shu-Ping Lin, Ching-Chan Cheng
Summary: By developing the CIPGA model, this study compares two major wedding banquet halls in Taiwan and identifies service attributes that represent potential opportunities, negative head-to-head competition, and fatal crises, aiming to improve service quality in a highly competitive market.
TOTAL QUALITY MANAGEMENT & BUSINESS EXCELLENCE
(2022)
Review
Astronomy & Astrophysics
R. J. Wilson, M. F. Vogt, G. Provan, A. Kamran, M. K. James, M. Brennan, S. W. H. Cowley
Summary: We present a new international community coding project that provides shared scientific computer code for common calculations in scientific observations, modeling, and data analysis. The code includes calculations for Jupiter's internal and external magnetic fields, and is available in four programming languages on GitHub. The project also offers various spherical harmonic models for Jupiter's internal magnetic field, as well as code to calculate perturbations in the external magnetic field caused by currents in Jupiter's magnetodisc. Field-line tracing software using the internal and external magnetic field models is also provided.
SPACE SCIENCE REVIEWS
(2023)
Article
Agriculture, Multidisciplinary
Xinlong Zhao, Yankun Peng, Yongyu Li, Yali Wang, Yang Li, Yahui Chen
Summary: A close detection system was designed using a multispectral sensor and an RGB-D camera carried by micro unmanned aerial vehicles (UAVs) for determining the internal and external quality of apples on trees. The system utilized the RGB-D camera to perceive the spatial position and predict the diameter of the apple, and the self-optimized multispectral sensor for apple soluble solid content (SSC) detection. The results showed that the system has the potential to accurately detect the quality of apples on trees.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Article
Psychology, Multidisciplinary
Mushfiqul Anwar Siraji, Shamsul Haque
Summary: This research translated and validated Rotter's Internal-External scale into Bangla and assessed its psychometric properties on a Bangladeshi adult sample. The 12-item scale showed satisfactory structural validity, concurrent validity, and reliability. The item response theory analysis further confirmed the scale's coverage of locus of control and its ability to discriminate between external and internal locus of control.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Computer Science, Software Engineering
Fabiano Pecorelli, Fabio Palomba, Andrea De Lucia
Summary: The study found that, when controlling for other factors, test-related factors have limited connection to post-release defects.
EMPIRICAL SOFTWARE ENGINEERING
(2021)
Article
Spectroscopy
Guantao Xuan, Chong Gao, Yuanyuan Shao
Summary: This study attempted to evaluate the internal and external quality of 'Feicheng' peach using hyperspectral imaging. By analyzing the spectral and spatial data, the study achieved the evaluation and prediction of soluble solids content, firmness, and other attributes. The results showed that hyperspectral imaging could be used as an effective and non-destructive method for evaluating fruit quality and developing online grading systems.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2022)
Article
Green & Sustainable Science & Technology
Guihuan Yan, Liming Jiang, Chongqing Xu
Summary: This paper examines the impact of environmental regulations on industrial green total factor productivity in China, using panel data from various provinces. The findings suggest that environmental regulations can enhance industrial productivity and reduce pollution emissions. Innovation capacity acts as an external mechanism between environmental regulations and industrial green total factor productivity. The effectiveness of market-based environmental regulations and command-and-control regulations varies across regions with different economic development levels.
Article
Public, Environmental & Occupational Health
Julius Manjengwa, Arsen Zakaryan, Arnaud Orelle, Vivian Fensham, Arihanta Razafindranovonar, Naira Aleksanyan, Nune Kotsinyan, Hrant Danielyan, Pertsh Tumanyan, Zaruhi Davtyan, Obert Kachuwaire, Antoine Pierson
Summary: The Armenia Laboratory External Quality Assessment (ALEQA) program, developed through a One Health approach, successfully engaged stakeholders from the Ministry of Health and Department of Agriculture under the Ministry of Economy. Results showed a 100% return rate of results and an improvement in laboratory performance from 2015 to 2019.
Article
Chemistry, Physical
Akihiko Fukunaga
Summary: This study investigated the evaluation method of hydrogen compatibility of A286 superalloy in high pressure hydrogen gas. SSRT tests were conducted on hydrogen-charged specimens at various strain rates at ambient temperature. The results showed that the strain rate dependence of the relative reduction in area (RRA) was smaller compared to that obtained in 70 MPa hydrogen gas at 150 degrees C. All the hydrogen-charged specimens exhibited slip-plane fractures in the grains in their cores, while the specimens in 70 MPa hydrogen gas at 150 degrees C showed different fracture surfaces morphology with decreasing strain rate, ranging from dimples to quasi-cleavages and intergranular fractures. These dissimilarities are believed to arise from differences in the hydrogen concentration behaviors of the specimens during the deformation process.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Computer Science, Information Systems
Jefferson Seide Molleri, Kai Petersen, Emilia Mendes
INFORMATION AND SOFTWARE TECHNOLOGY
(2019)
Article
Computer Science, Information Systems
Jefferson Seide Molleri, Kai Petersen, Emilia Mendes
INFORMATION AND SOFTWARE TECHNOLOGY
(2020)
Article
Computer Science, Software Engineering
Emil Alegroth, Tony Gorschek, Kai Petersen, Michael Mattsson
SOFTWARE QUALITY JOURNAL
(2020)
Review
Computer Science, Software Engineering
Nasir Mehmood Minhas, Sohaib Masood, Kai Petersen, Aamer Nadeem
JOURNAL OF SOFTWARE-EVOLUTION AND PROCESS
(2020)
Article
Computer Science, Information Systems
Nasir Mehmood Minhas, Kai Petersen, Jurgen Borstler, Krzysztof Wnuk
INFORMATION AND SOFTWARE TECHNOLOGY
(2020)
Article
Health Care Sciences & Services
Kai Petersen, Jan M. Gerken
Summary: This study analyzes the key topics and hashtag usage related to Covid-19 on Twitter, providing insights for health policy-makers and practitioners to understand and select appropriate information for health communication. The results show that themes such as Covid-19, identifying information, interventions, and geographical tagging are widely discussed on Twitter.
Review
Biochemistry & Molecular Biology
Rimsha Shahid, Iahtisham-Ul-Haq, Mahnoor, Kanza Aziz Awan, Muhammad Jawad Iqbal, Hussan Munir, Iqra Saeed
Summary: Polycystic ovarian syndrome severely affects the life quality of suffering women. Dietary and lifestyle modifications are effective in managing this disease, and this article provides sufficient information on them.
JOURNAL OF FOOD BIOCHEMISTRY
(2022)
Review
Computer Science, Information Systems
Hussan Munir, Bahtijar Vogel, Andreas Jacobsson
Summary: The use of artificial intelligence and machine learning techniques has seen significant growth in various disciplines, particularly in the field of digital education. This study highlights the widespread application of AI-based algorithms in digital education and identifies key themes in their use, such as intelligent tutors, dropout predictions, performance predictions, adaptive and predictive learning, analytics and group-based learning, and automation.
Review
Engineering, Electrical & Electronic
Hajira Saleem, Reza Malekian, Hussan Munir
Summary: The development of autonomous vehicles has sparked interest in exploring navigation techniques, and one such technique is SLAM. Recently, neural network techniques have been incorporated into the SLAM pipeline, and this article provides a focused analysis of these developments for localization of autonomous ground vehicles.
IEEE SENSORS JOURNAL
(2023)
Article
Education & Educational Research
Hussan Munir
Summary: The outbreak of COVID-19 has impacted student teaching and learning at Malmo University. Online education brings benefits for students but also leads to communication deterioration between students and teachers. Recommendations for post-pandemic education include selecting unified digital learning tools, allocating a budget for digital tools, providing training support, and adopting hybrid learning methods.
EDUCATION SCIENCES
(2022)
Article
Computer Science, Information Systems
Hussan Munir, Carl-Erik Mols
Summary: In the past five years, the utilization of open-source software in business development has significantly increased, capturing the attention of various industries. The study revealed that company A is more advanced in open-source operations compared to company B.
Article
Computer Science, Information Systems
Patrik Danielsson, Tom Postema, Hussan Munir
Summary: The study aims to develop an innovation platform to enable faster deployment of web-based applications, investigating the value and innovation potential for companies. Results suggest that the prototype may simplify web-based application deployment, with key drivers including reduced cost, faster time to market, and decreased complexity.
Proceedings Paper
Computer Science, Software Engineering
Jefferson Seide Molleri, Indira Nurdiani, Farnaz Fotrousi, Kai Petersen
PROCEEDINGS OF EASE 2019 - EVALUATION AND ASSESSMENT IN SOFTWARE ENGINEERING
(2019)
Proceedings Paper
Computer Science, Software Engineering
Hussan Munir, Per Runeson, Krzysztof Wnuk
PROCEEDINGS OF EASE 2019 - EVALUATION AND ASSESSMENT IN SOFTWARE ENGINEERING
(2019)
Article
Computer Science, Information Systems
Ahmad Nauman Ghazi, Kai Petersen, Sri Sai Vijay Raj Reddy, Harini Nekkanti
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)