A Taxonomy of Self-Admitted Technical Debt in Deep Learning Systems
The development of Machine Learning (ML)- and, more recently, of Deep Learning (DL)-intensive systems requires suitable choices, e.g., in terms of technology, algorithms, and hyper-parameters. Such choices depend on developers' experience, as well as on proper experimentation. Due to limited time availability, developers may adopt suboptimal, sometimes
Federica Pepe +4 more
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Liquidity Crises and the Market‐Maker of Last Resort
Abstract We study market illiquidity in an economy subject to nonfundamental shocks. Asset trading occurs via decentralized bargaining. The model has multiple rational expectations equilibria; we associate certain Pareto‐inferior equilibria with liquidity crises.
CHARLES M. KAHN +2 more
wiley +1 more source
Quantifying and characterizing clones of self-admitted technical debt in build systems
Self-Admitted Technical Debt (SATD) annotates development decisions that intentionally exchange long-term software artifact quality for short-term goals. Recent work explores the existence of SATD clones (duplicate or near duplicate SATD comments) in source code.
Tao Xiao 0001 +5 more
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SATDAUG - A Balanced and Augmented Dataset for Detecting Self-Admitted Technical Debt
Self-admitted technical debt (SATD) refers to a form of technical debt in which developers explicitly acknowledge and document the existence of technical shortcuts, workarounds, or temporary solutions within the codebase. Over recent years, researchers have manually labeled datasets derived from various software development artifacts: source code ...
Edi Sutoyo, Andrea Capiluppi
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Self-Admitted Technical Debt Detection Approaches
Technical debt (TD) refers to the long-term costs associated with suboptimal design or code decisions in software development, often made to meet short-term delivery goals. SATD occurs when developers explicitly acknowledge these trade-offs in the codebase, typically through comments or annotations.
Sutoyo, Edi, Capiluppi, Andrea
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Self-admitted Technical Debt Prediction Using Bellwether
Abstract Context: Self-admitted technical debt (SATD) refers to the temporary workaround codes that engineers purposely leave behind before releasing software. It was developed by Potdar and Shihab to highlight intentional technical debts made by developers, to meet certain deadlines during the developmental process.
Robert Koomson +4 more
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Financial well-being advice delivered within the context of social prescribing in the UK and the Republic of Ireland. [PDF]
Newstead S +6 more
europepmc +1 more source
Socioeconomic and economic factors affecting access and progression in medical schools: a systematic review and meta-analysis. [PDF]
Arianpoor A +17 more
europepmc +1 more source
Experiences of Healthcare Providers and Households Facing Healthcare Costs in Eastern Kasai/DR Congo: A Qualitative Analysis. [PDF]
Mutombo B +4 more
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Profiling and outcomes of medically indigent patients in Southwest China: a single-center retrospective case series survey study. [PDF]
Wang Z +7 more
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