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The standard evaluation protocol for measuring the quality of Knowledge Graph Completion methods - the task of inferring new links to be added to a graph - typically involves a step which ranks every entity of a Knowledge Graph to assess…

Artificial Intelligence · Computer Science 2024-02-02 Filip Cornell , Yifei Jin , Jussi Karlgren , Sarunas Girdzijauskas

In recent years, countless research papers have addressed the topics of knowledge graph creation, extension, or completion in order to create knowledge graphs that are larger, more correct, or more diverse. This research is typically…

Artificial Intelligence · Computer Science 2023-08-22 Nicolas Heist , Sven Hertling , Heiko Paulheim

As AI-driven document understanding and processing tools become increasingly prevalent in real-world applications, the need for rigorous evaluation standards has grown increasingly urgent. Existing benchmarks and evaluations often focus on…

Papers on Agile Software Development methods are often focused on their applicability in commercial projects or organizations. There are no current studies that we know about addressing the application of these methods in research projects.…

Software Engineering · Computer Science 2017-12-07 Nelson Marcelo Romero Aquino , Adolfo Gustavo Serra Seca Neto , Heitor Silvério Lopes

AI application developers typically begin with a dataset of interest and a vision of the end analytic or insight they wish to gain from the data at hand. Although these are two very important components of an AI workflow, one often spends…

Databases · Computer Science 2021-03-04 El Kindi Rezig , Michael Cafarella , Vijay Gadepally

Transformation approaches for automatically constructing analysis models from textual requirements are critical to software development, as they can bring forward the use of precise formal languages from the coding phase to the requirement…

Software Engineering · Computer Science 2024-08-13 Keletso J. Letsholo

The ubiquitous availability of computing devices and the widespread use of the internet have generated a large amount of data continuously. Therefore, the amount of available information on any given topic is far beyond humans' processing…

Artificial Intelligence · Computer Science 2023-07-11 Samira Ghodratnama

Perhaps the most widely used form of code documentation is function header comments. We performed a large-scale survey of 367 developers to catalog their expectations from such documentation and to chronicle actual practice. Paradoxically,…

Software Engineering · Computer Science 2024-01-17 Arthur Oxenhorn , Almog Mor , Uri Stern , Dror G. Feitelson

Context: Agility at the business level requires Information Technology (IT) environment flexible and customizable, as well as effective and responsive governance in order to deliver value faster, better, and cheaper to the business.…

Software development is a complex activity which depends on diverse technologies and people's expertise. The approaches to developing software highly depend on these different characteristics, which are the context developers are subject…

Software Engineering · Computer Science 2019-10-21 Glaucia Melo , Paulo Alencar , Don Cowan

The effort invested in a software project is probably one of the most important and most analyzed variables in recent years in the process of project management. The limitation of algorithmic effort prediction models is their inability to…

Software Engineering · Computer Science 2013-10-22 Sumeet Kaur Sehra , Yadwinder Singh Brar , Navdeep Kaur

AI models and services are used in a growing number of highstakes areas, resulting in a need for increased transparency. Consistent with this, several proposals for higher quality and more consistent documentation of AI data, models, and…

Research accomplishment is usually measured by considering all citations with equal importance, thus ignoring the wide variety of purposes an article is being cited for. Here, we posit that measuring the intensity of a reference is crucial…

Computation and Language · Computer Science 2016-09-02 Tanmoy Chakraborty , Ramasuri Narayanam

Estimation of the accuracy of a large-scale knowledge graph (KG) often requires humans to annotate samples from the graph. How to obtain statistically meaningful estimates for accuracy evaluation while keeping human annotation costs low is…

Databases · Computer Science 2019-07-24 Junyang Gao , Xian Li , Yifan Ethan Xu , Bunyamin Sisman , Xin Luna Dong , Jun Yang

In the era of big data, many big organizations are integrating machine learning into their work pipelines to facilitate data analysis. However, the performance of their trained models is often restricted by limited and imbalanced data…

Machine Learning · Computer Science 2024-03-05 Cheng Chen , Jiaying Zhou , Jie Ding , Yi Zhou

Open-source developers, particularly the elite developers, maintain a diverse portfolio of contributing activities. They do not only commit source code but also spend a significant amount of effort on other communicative, organizational,…

Software Engineering · Computer Science 2019-11-15 Zhendong Wang , Yang Feng , Yi Wang , James A. Jones , David Redmiles

This study uses 125 responses from companies of all sizes headquartered in Germany, Switzerland, France and UK to reveal perceptions of the drivers of organisational agility. It further investigates current understanding of managing…

Computers and Society · Computer Science 2021-05-13 Ivan Kovynyov , Axel Buerck , Ralf Mikut

A general notion of information-related complexity applicable to both natural and man-made systems is proposed. The overall approach is to explicitly consider a rational agent performing a certain task with a quantifiable degree of success.…

Data Analysis, Statistics and Probability · Physics 2013-01-18 Eugene Perevalov , David Grace

ChatGPT has entered classrooms, but not via the typical route of other educational technology, which includes comprehensive training, documentation, and vetting. Consequently, teachers are urgently tasked to assess its capabilities to…

Human-Computer Interaction · Computer Science 2023-09-27 Mei Tan , Hariharan Subramonyam

There is the widespread belief that Agile neglects the product quality. This lack of understanding how Agile processes assure the quality of the product prevents especially companies from regulated domains from an adoption of Agile. This…

Software Engineering · Computer Science 2017-10-18 Sven Theobald , Philipp Diebold
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