Article
Chemistry, Multidisciplinary
Amit Kumar Halder, M. Natalia Dias Soeiro Cordeiro
Summary: QSAR modelling is a commonly used computational tool, but traditional approaches have limitations due to being based on a limited number of conditions. To overcome this drawback, multitasking or multitarget QSAR (mt-QSAR) methods have emerged to integrate diverse chemical and biological data, enhancing the reliability of modelling.
JOURNAL OF CHEMINFORMATICS
(2021)
Article
Computer Science, Information Systems
Shimels D. Garomssa, Rathimala Kannan, Ian Chai, Dirk Riehle
Summary: The study uncovered two different but related ways in which intellectual capital impacts the success of COSS companies. Relational capital directly affects COSS company success, while relational and structural capital indirectly affect COSS company success through human capital, which is further mediated by software quality.
Article
Environmental Sciences
Julia Calderwood, Debbi Pedreschi, Macdara Cuaig, David G. Reid
Summary: The fishing industry has valuable insights to contribute to fisheries research, and collaboration between science and industry is crucial for sharing knowledge and understanding. However, there are barriers to establishing effective partnerships, such as mistrust and communication issues. This paper reflects on experiences of engaging with Irish fishers, highlighting the importance of trust and open communication in co-creating knowledge.
FRONTIERS IN MARINE SCIENCE
(2023)
Review
Engineering, Multidisciplinary
Zhifang Liao, Bolin Zhang, Xuechun Huang, Song Yu, Yan Zhang
Summary: This paper proposes a PR review prediction model based on multi-dimensional features and a PR revision recommendation model based on the PR review knowledge graph, in order to solve the code review problems and improve the quality in the open-source community. By extracting and classifying the 43 features of PR, a prediction model based on Random Forest Classifier is built to predict the review results. Meanwhile, using graph-based similarity calculation, PR revisions are recommended based on historical review comments and related issues. The experimental results demonstrate the effectiveness and robustness of these two models in PR review and revision.
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
(2023)
Article
Chemistry, Multidisciplinary
Mamdouh Alenezi
Summary: The evolution of software systems and understanding their internal quality is crucial in software engineering. This study analyzed the evolution of object-oriented open-source software systems in terms of size, internal quality metrics, showing significant differences among systems in LOC, significant correlations between internal quality metrics, and positive effects of complexity and inheritance on LOC. Coupling and Cohesion did not show significant effects on LOC.
APPLIED SCIENCES-BASEL
(2021)
Article
Business
Wolfgang Lattacher, Patrick Gregori, Patrick Holzmann, Erich J. Schwarz
Summary: This study investigates the role of knowledge spillover in entrepreneurship, finding that knowledge spillovers originate from continuously updated and extended knowledge through experiential learning. The willingness of individuals to share knowledge is a prerequisite for knowledge spillover, supporting the emergence of other entrepreneurs.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2021)
Article
Computer Science, Information Systems
Yuxin Zhao, Xinjun Mao, Yi Yang
Summary: This paper proposes a method to construct an ROS node knowledge graph (RNKG) based on high-quality open-source robot projects, aiming to address the challenges in reusing ROS nodes. The constructed knowledge graph is validated and evaluated, demonstrating its effectiveness in assisting developers with finding ROS nodes.
Article
Computer Science, Software Engineering
Damian A. Tamburri, Fabio Palomba, Rick Kazman
Summary: Software engineering success relies on balancing distance, culture, global engineering practices and more. This paper introduces an automated approach, CodeFace4Smells, to identify four community smell types. A large-scale empirical study on 60 open-source communities reveals that community smells are highly diffused in open-source and perceived by developers as significant issues for software community evolution.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
(2021)
Article
Computer Science, Software Engineering
Georgia M. Kapitsaki, Georgia Charalambous
Summary: This paper introduces findOSSLicense, a license recommender that helps users choose the appropriate open source license for their software under creation. The recommendation process is based on a hybrid recommender that considers user needs and system flexibility, and involves analysis of existing open source licenses.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
(2021)
Article
Chemistry, Multidisciplinary
Vedhus Hoskere, Fouad Amer, Doug Friedel, Wanxian Yang, Yu Tang, Yasutaka Narazaki, Matthew D. Smith, Mani Golparvar-Fard, Billie F. Spencer Jr
Summary: The rapid development of deep learning technology has driven the successful application of automated damage detection techniques, but the lack of large-scale annotated datasets for various types of damage limits its application in areas such as inspection automation. InstaDam is an open-source software platform that accelerates pixel-wise damage annotation using binary masks, improving annotation consistency and efficiency.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Information Systems
Georg Buchgeher, Stefan Schoeberl, Verena Geist, Bernhard Dorninger, Philipp Haindl, Rainer Weinreich
Summary: Architecture decision records (ADRs) have been proposed as a resource-efficient means for capturing architectural design decisions (ADDs), and have received attention not only from researchers but also from practitioners. However, our study on open source repositories at GitHub shows that the adoption of ADRs is still low, with only about 50% of repositories containing one to five ADRs. In repositories that use ADRs more systematically, decisions are recorded as a team activity conducted by multiple users over a longer period of time, with most repositories using the template proposed by Michael Nygard.
Article
Computer Science, Information Systems
Marc Oriol, Carlos Mueller, Jordi Marco, Pablo Fernandez, Xavier Franch, Antonio Ruiz-Cortes
Summary: Recent surveys show that the use of Open Source Software (OSS) is increasingly important for organizations. However, choosing the right OSS or contributing to its development is a complex task. There is a lack of useful OSSECO analysis tools for potential adopters or contributors.
INTERNET OF THINGS
(2023)
Article
Computer Science, Information Systems
Juliana Sutanto, Qiqi Jiang, Chuan-Hoo Tan
Summary: This study examines the relationship between interproject structure and OSS project success, finding that projects with more structural holes are more popular while those with fewer structural holes generate more knowledge creation. These relationships are enhanced by an increase in project maturity at different stages.
JOURNAL OF STRATEGIC INFORMATION SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Linda Erlenhov, Francisco Gomes de Oliveira Neto, Philipp Leitner
Summary: This paper presents an empirical study on bot activity, using both quantitative and qualitative analysis. The study highlights the differences in definitions of bot activity in open-source software and identifies tools that comply with the characteristics of Devbots. The analysis also reveals that most projects experiment with multiple bots before making a decision on adoption or switching. Factors such as generated noise and required adaptation in development practices are found to drive discussions about the adoption or removal of Devbots.
PEERJ COMPUTER SCIENCE
(2022)
Article
Computer Science, Information Systems
Di Cui, Lingling Fan, Sen Chen, Yuanfang Cai, Qinghua Zheng, Yang Liu, Ting Liu
Summary: This paper presents the first attempt to understand bug fixes from the perspective of dependencies. A systematic study on bug fixes collected from 157 Apache open source projects is conducted, revealing a relatively high proportion of bug fixes introducing dependency-level changes. These fixes are strongly correlated with high priority, large fixing churn, long fixing time, frequent bug reopening, and bug inducing. In addition, patched files with dependency-level changes consume much more maintenance costs compared to those without these changes.
SCIENCE CHINA-INFORMATION SCIENCES
(2022)
