4,061 research outputs found
On the citation lifecycle of papers with delayed recognition
Delayed recognition is a concept applied to articles that receive very few to no citations for a certain period of time following publication, before becoming actively cited. To determine whether such a time spent in relative obscurity had an effect on subsequent citation patterns, we selected articles that received no citations before the passage of ten full years since publication, investigated the subsequent yearly citations received over a period of 37 years and compared them with the citations received by a group of papers without such a latency period. Our study finds that papers with delayed recognition do not exhibit the typical early peak, then slow decline in citations, but that the vast majority enter decline immediately after their first – and often only – citation. Middling papers’ citations remain stable over their lifetime, whereas the more highly cited papers, some of which fall into the “sleeping beauty” subtype, show non-stop growth in citations received. Finally, papers published in different disciplines exhibit similar behavior and did not differ significantly
Are Delayed Issues Harder to Resolve? Revisiting Cost-to-Fix of Defects throughout the Lifecycle
Many practitioners and academics believe in a delayed issue effect (DIE);
i.e. the longer an issue lingers in the system, the more effort it requires to
resolve. This belief is often used to justify major investments in new
development processes that promise to retire more issues sooner.
This paper tests for the delayed issue effect in 171 software projects
conducted around the world in the period from 2006--2014. To the best of our
knowledge, this is the largest study yet published on this effect. We found no
evidence for the delayed issue effect; i.e. the effort to resolve issues in a
later phase was not consistently or substantially greater than when issues were
resolved soon after their introduction.
This paper documents the above study and explores reasons for this mismatch
between this common rule of thumb and empirical data. In summary, DIE is not
some constant across all projects. Rather, DIE might be an historical relic
that occurs intermittently only in certain kinds of projects. This is a
significant result since it predicts that new development processes that
promise to faster retire more issues will not have a guaranteed return on
investment (depending on the context where applied), and that a long-held truth
in software engineering should not be considered a global truism.Comment: 31 pages. Accepted with minor revisions to Journal of Empirical
Software Engineering. Keywords: software economics, phase delay, cost to fi
The Economics and Psychology of Personality Traits
This paper explores the interface between personality psychology and economics. We examine the predictive power of personality and the stability of personality traits over the life cycle. We develop simple analytical frameworks for interpreting the evidence in personality psychology and suggest promising avenues for future research.lifecycle effects, personality traits
JISC Preservation of Web Resources (PoWR) Handbook
Handbook of Web Preservation produced by the JISC-PoWR project which ran from April to November 2008.
The handbook specifically addresses digital preservation issues that are relevant to the UK HE/FE web management community”.
The project was undertaken jointly by UKOLN at the University of Bath and ULCC Digital Archives department
Challenges and Solutions in AI for All
Artificial Intelligence (AI)'s pervasive presence and variety necessitate
diversity and inclusivity (D&I) principles in its design for fairness, trust,
and transparency. Yet, these considerations are often overlooked, leading to
issues of bias, discrimination, and perceived untrustworthiness. In response,
we conducted a Systematic Review to unearth challenges and solutions relating
to D&I in AI. Our rigorous search yielded 48 research articles published
between 2017 and 2022. Open coding of these papers revealed 55 unique
challenges and 33 solutions for D&I in AI, as well as 24 unique challenges and
23 solutions for enhancing such practices using AI. This study, by offering a
deeper understanding of these issues, will enlighten researchers and
practitioners seeking to integrate these principles into future AI systems.Comment: 39 pages, 10 figures, 10 table
CONUL Research Support Task and Finish Group
The Group’s remit was to prepare a three year strategy to develop the research support capacity of CONUL libraries.
The group identified key areas around which a tool kit was to be developed in the form of briefing documents. The briefing documents are collated together in thechapters and appendices of this report
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