Daniel Varona - Academia.edu (original) (raw)
Papers by Daniel Varona
Handbook of Computational Social Science, Volume 1, 2021
Curator: The Museum Journal, 2020
The authors present a conceptual and mathematical model for an art institution relevance index th... more The authors present a conceptual and mathematical model for an art institution relevance index that quantifies the institution’s ability to manage and leverage its loan relationships with other art institutions, art collectors, and curators. The propose that their model innovates on prior methods descriptions of institution relevance based on the depth or size of an institution’s collections, by introducing a more complex combination of the institution’s ability to manage the type, frequency and range of lending and borrowing practices. Their mixed methods approach is based on combining traditional methods of art history that have relied on subjective accounts of an institution’s collection value with a more formalized methodological approach to quantifying what was once a discourse of practice. The show that a limitation in traditional approaches to evaluating institutional impact relied on subjective interpretation and is not scalable and therefore cannot account for the importance of the global art exhibition ecosystems.
Springer Series in Reliability Engineering, 2019
As software systems are becoming more pervasive, they are also becoming more susceptible to failu... more As software systems are becoming more pervasive, they are also becoming more susceptible to failures, resulting in potentially lethal combinations. Software testing is critical to preventing software failures but is, arguably, the least understood part of the software life cycle and the toughest to perform correctly. Adequate research has been carried out in both the process and technology dimensions of testing, but not in the human dimensions. This work attempts to fill in the gap by exploring the human dimension, i.e., trying to understand the motivation/de-motivation of software practitioners to take up and sustain testing careers. One hundred and forty four software practitioners from several Cuban software institutes were surveyed. Individuals were asked the PROs (advantages or motivators) and CONs (disadvantages or de-motivators) of taking up a career in software testing and their chances of doing so. The results of this investigation identified 9 main PROs and 8 main CONs for taking up a testing career showing that the role of tester is perceived as a social role.
Applied Sciences
In this study, we analyze “Discrimination”, ”Bias”, “Fairness”, and “Trustworthiness” as working ... more In this study, we analyze “Discrimination”, ”Bias”, “Fairness”, and “Trustworthiness” as working variables in the context of the social impact of AI. It has been identified that there exists a set of specialized variables, such as security, privacy, responsibility, etc., that are used to operationalize the principles in the Principled AI International Framework. These variables are defined in such a way that they contribute to others of more general scope, for example, the ones studied in this study, in what appears to be a generalization–specialization relationship. Our aim in this study is to comprehend how we can use available notions of bias, discrimination, fairness, and other related variables that will be assured during the software project’s lifecycle (security, privacy, responsibility, etc.) when developing trustworthy algorithmic decision-making systems (ADMS). Bias, discrimination, and fairness are mainly approached with an operational interest by the Principled AI Intern...
Over the past decade, there has been a marked interest in understanding the personal traits of so... more Over the past decade, there has been a marked interest in understanding the personal traits of software developers and their influence on the process of assigning people to roles, as has been evident from the growing number of related publications on this topic. This study is part of a larger research project focussed on identifying the elements associated with the candidate ́s personal traits and how these traits better fit with particular software development roles. Our goal in this study is to complement the current approach to assigning roles, which is based on an individual’s capacity to fulfill a role ́s functional competencies profile during the assignment process. Our approach helps to support the assigning of people to software development roles by providing a set of tools, based on Myers-Briggs type indicators, to assess a candidate ́s natural disposition. To do this, we modeled the results obtained in a previous study on software developer preferences for tasks associated...
2021 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
As software systems are becoming more pervasive, they are also becoming more susceptible to failu... more As software systems are becoming more pervasive, they are also becoming more susceptible to failures, resulting in potentially lethal combinations. Software testing is critical to preventing software failures but is, arguably, the least understood part of the software life cycle and the toughest to perform correctly. Adequate research has been carried out in both the process and technology dimensions of testing, but not in the human dimensions. This paper attempts to fill in the gap by exploring the human dimension, i.e., trying to understand the motivation of software professionals to take up and sustain testing careers. Towards that end, a survey was conducted in four countries - India, Canada, Cuba, and China - to try to understand how professional software testers perceive and value work-related factors that could influence their motivation to take up and sustain testing careers. With a sample of 220 software professionals, we observed that very few professionals are keen to tak...
The measurement of factors involved in human performance has become an essential step to move for... more The measurement of factors involved in human performance has become an essential step to move forward in the software industry. Psychometric measurement provides the needed understanding of human potential. The aim of this study was to establish the personality profile of Cuban software engineers according to the Myers- Briggs Type Indicator (MBTI). Analysis of the study shows that the most prominent personality type is a combination of extroversion, sensing, thinking and judging.
IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society
IT Professional
This work attempts to fill a gap by exploring the human dimension in particular, by trying to und... more This work attempts to fill a gap by exploring the human dimension in particular, by trying to understand the motivation of software professionals for taking up and sustaining their careers as software testers. Towards that goal, four surveys were conducted in four countries—India, Canada, Cuba, and China—to try to understand how professional software engineers perceive and value work-related factors that could influence their motivation to start or move into software testing careers. From our sample of 220 software professionals, we observed that very few were keen to take up testing careers. Some aspects of software testing, such as the potential for learning opportunities and the importance of the job, appear to be common motivators across the four countries, whereas the treatment of testers as second-class citizens and the complexity of the job appeared to be the most prominent de-motivators.
Curator. The Museum Journal, 2020
The authors present a conceptual and mathematical model for an art institution relevance index th... more The authors present a conceptual and mathematical model for an art institution relevance index that quantifies the institution’s ability to manage and leverage its loan relationships with other art institutions, art collectors, and curators. The propose that their model innovates on prior methods descriptions of institution relevance based on the depth or size of an institution’s collections, by introducing a more complex combination of the institution’s ability to manage the type, frequency and range of lending and borrowing practices. Their mixed methods approach is based on combining traditional methods of art history that have relied on subjective accounts of an institution’s collection value with a more formalized methodological approach to quantifying what was once a discourse of practice. The show that a limitation in traditional approaches to evaluating institutional impact relied on subjective interpretation and is not scalable and therefore cannot account for the importanc...
2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion), May 1, 2019
Computers in Human Behavior, 2015
Handbook of Computational Social Science, Volume 1, 2021
Curator: The Museum Journal, 2020
The authors present a conceptual and mathematical model for an art institution relevance index th... more The authors present a conceptual and mathematical model for an art institution relevance index that quantifies the institution’s ability to manage and leverage its loan relationships with other art institutions, art collectors, and curators. The propose that their model innovates on prior methods descriptions of institution relevance based on the depth or size of an institution’s collections, by introducing a more complex combination of the institution’s ability to manage the type, frequency and range of lending and borrowing practices. Their mixed methods approach is based on combining traditional methods of art history that have relied on subjective accounts of an institution’s collection value with a more formalized methodological approach to quantifying what was once a discourse of practice. The show that a limitation in traditional approaches to evaluating institutional impact relied on subjective interpretation and is not scalable and therefore cannot account for the importance of the global art exhibition ecosystems.
Springer Series in Reliability Engineering, 2019
As software systems are becoming more pervasive, they are also becoming more susceptible to failu... more As software systems are becoming more pervasive, they are also becoming more susceptible to failures, resulting in potentially lethal combinations. Software testing is critical to preventing software failures but is, arguably, the least understood part of the software life cycle and the toughest to perform correctly. Adequate research has been carried out in both the process and technology dimensions of testing, but not in the human dimensions. This work attempts to fill in the gap by exploring the human dimension, i.e., trying to understand the motivation/de-motivation of software practitioners to take up and sustain testing careers. One hundred and forty four software practitioners from several Cuban software institutes were surveyed. Individuals were asked the PROs (advantages or motivators) and CONs (disadvantages or de-motivators) of taking up a career in software testing and their chances of doing so. The results of this investigation identified 9 main PROs and 8 main CONs for taking up a testing career showing that the role of tester is perceived as a social role.
Applied Sciences
In this study, we analyze “Discrimination”, ”Bias”, “Fairness”, and “Trustworthiness” as working ... more In this study, we analyze “Discrimination”, ”Bias”, “Fairness”, and “Trustworthiness” as working variables in the context of the social impact of AI. It has been identified that there exists a set of specialized variables, such as security, privacy, responsibility, etc., that are used to operationalize the principles in the Principled AI International Framework. These variables are defined in such a way that they contribute to others of more general scope, for example, the ones studied in this study, in what appears to be a generalization–specialization relationship. Our aim in this study is to comprehend how we can use available notions of bias, discrimination, fairness, and other related variables that will be assured during the software project’s lifecycle (security, privacy, responsibility, etc.) when developing trustworthy algorithmic decision-making systems (ADMS). Bias, discrimination, and fairness are mainly approached with an operational interest by the Principled AI Intern...
Over the past decade, there has been a marked interest in understanding the personal traits of so... more Over the past decade, there has been a marked interest in understanding the personal traits of software developers and their influence on the process of assigning people to roles, as has been evident from the growing number of related publications on this topic. This study is part of a larger research project focussed on identifying the elements associated with the candidate ́s personal traits and how these traits better fit with particular software development roles. Our goal in this study is to complement the current approach to assigning roles, which is based on an individual’s capacity to fulfill a role ́s functional competencies profile during the assignment process. Our approach helps to support the assigning of people to software development roles by providing a set of tools, based on Myers-Briggs type indicators, to assess a candidate ́s natural disposition. To do this, we modeled the results obtained in a previous study on software developer preferences for tasks associated...
2021 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2021
As software systems are becoming more pervasive, they are also becoming more susceptible to failu... more As software systems are becoming more pervasive, they are also becoming more susceptible to failures, resulting in potentially lethal combinations. Software testing is critical to preventing software failures but is, arguably, the least understood part of the software life cycle and the toughest to perform correctly. Adequate research has been carried out in both the process and technology dimensions of testing, but not in the human dimensions. This paper attempts to fill in the gap by exploring the human dimension, i.e., trying to understand the motivation of software professionals to take up and sustain testing careers. Towards that end, a survey was conducted in four countries - India, Canada, Cuba, and China - to try to understand how professional software testers perceive and value work-related factors that could influence their motivation to take up and sustain testing careers. With a sample of 220 software professionals, we observed that very few professionals are keen to tak...
The measurement of factors involved in human performance has become an essential step to move for... more The measurement of factors involved in human performance has become an essential step to move forward in the software industry. Psychometric measurement provides the needed understanding of human potential. The aim of this study was to establish the personality profile of Cuban software engineers according to the Myers- Briggs Type Indicator (MBTI). Analysis of the study shows that the most prominent personality type is a combination of extroversion, sensing, thinking and judging.
IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society
IT Professional
This work attempts to fill a gap by exploring the human dimension in particular, by trying to und... more This work attempts to fill a gap by exploring the human dimension in particular, by trying to understand the motivation of software professionals for taking up and sustaining their careers as software testers. Towards that goal, four surveys were conducted in four countries—India, Canada, Cuba, and China—to try to understand how professional software engineers perceive and value work-related factors that could influence their motivation to start or move into software testing careers. From our sample of 220 software professionals, we observed that very few were keen to take up testing careers. Some aspects of software testing, such as the potential for learning opportunities and the importance of the job, appear to be common motivators across the four countries, whereas the treatment of testers as second-class citizens and the complexity of the job appeared to be the most prominent de-motivators.
Curator. The Museum Journal, 2020
The authors present a conceptual and mathematical model for an art institution relevance index th... more The authors present a conceptual and mathematical model for an art institution relevance index that quantifies the institution’s ability to manage and leverage its loan relationships with other art institutions, art collectors, and curators. The propose that their model innovates on prior methods descriptions of institution relevance based on the depth or size of an institution’s collections, by introducing a more complex combination of the institution’s ability to manage the type, frequency and range of lending and borrowing practices. Their mixed methods approach is based on combining traditional methods of art history that have relied on subjective accounts of an institution’s collection value with a more formalized methodological approach to quantifying what was once a discourse of practice. The show that a limitation in traditional approaches to evaluating institutional impact relied on subjective interpretation and is not scalable and therefore cannot account for the importanc...
2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion), May 1, 2019
Computers in Human Behavior, 2015