A survey on mining stack overflow: question and answering (Q&A) community
Purpose Software developers extensively use stack overflow (SO) for knowledge sharing on
software development. Thus, software engineering researchers have started mining the …
software development. Thus, software engineering researchers have started mining the …
Forgetting practices in the data sciences
M Muller, A Strohmayer - Proceedings of the 2022 CHI Conference on …, 2022 - dl.acm.org
HCI engages with data science through many topics and themes. Researchers have
addressed biased dataset problems, arguing that bad data can cause innocent software to …
addressed biased dataset problems, arguing that bad data can cause innocent software to …
Sustainability is stratified: Toward a better theory of sustainable software engineering
S McGuire, E Schultz, B Ayoola… - 2023 IEEE/ACM 45th …, 2023 - ieeexplore.ieee.org
Background: Sustainable software engineering (SSE) means creating software in a way that
meets present needs without undermining our collective capacity to meet our future needs. It …
meets present needs without undermining our collective capacity to meet our future needs. It …
Factors that affect developers' decision to participate in a mobile software ecosystem
Abstract In Mobile Software Ecosystem (MSECO), external developers build applications
that meet the interest of users of mobile technologies. Researchers claim that MSECO …
that meet the interest of users of mobile technologies. Researchers claim that MSECO …
Schrödinger's security: opening the box on app developers' security rationale
D Van Der Linden, P Anthonysamy… - Proceedings of the …, 2020 - dl.acm.org
Research has established the wide variety of security failures in mobile apps, their
consequences, and how app developers introduce or exacerbate them. What is not well …
consequences, and how app developers introduce or exacerbate them. What is not well …
Social aspects and how they influence mseco developers
Mobile software ecosystem (MSECO) is a new software development paradigm for mobile
technologies, having three main dimensions, namely: Technical, Business and Social. The …
technologies, having three main dimensions, namely: Technical, Business and Social. The …
Towards a Non-Ideal Methodological Framework for Responsible ML
Though ML practitioners increasingly employ various Responsible ML (RML) strategies,
their methodological approach in practice is still unclear. In particular, the constraints …
their methodological approach in practice is still unclear. In particular, the constraints …
The types, roles, and practices of documentation in data analytics open source software libraries: a collaborative ethnography of documentation work
RS Geiger, N Varoquaux, C Mazel-Cabasse… - Computer Supported …, 2018 - Springer
Computational research and data analytics increasingly relies on complex ecosystems of
open source software (OSS)“libraries”–curated collections of reusable code that …
open source software (OSS)“libraries”–curated collections of reusable code that …
[PDF][PDF] 中国开源软件生态构建的风险及对策
黄鹏， 李宏宽 - 科技导报, 2021 - kjdb.org
摘要基于双层嵌入理论和知识溢出理论构建了E-TOMSDECT 分析模型, 对当前中国开源软件
生态构建所面临的风险进行系统性剖析, 并结合对全球开源软件生态构建经验的类化分析提出 …
生态构建所面临的风险进行系统性剖析, 并结合对全球开源软件生态构建经验的类化分析提出 …
Bridging the language gap: an empirical study of bindings for open source machine learning libraries across software package ecosystems
H Li, CP Bezemer - Empirical Software Engineering, 2025 - Springer
Open source machine learning (ML) libraries enable developers to integrate advanced ML
functionality into their own applications. However, popular ML libraries, such as TensorFlow …
functionality into their own applications. However, popular ML libraries, such as TensorFlow …