Memorias de investigación
Ponencias en congresos:
Evidence of the Presence of Bias in Subjective Metrics: Analysis Within a Family of Experiments
Año:2014
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
Context: Measurement is crucial and important to empirical software engineering. Although reliability and validity are two important properties warranting consideration in measurement processes, they may be influenced by random or systematic error (bias) depending on which metric is used. Aim: Check whether, the simple subjective metrics used in empirical software engineering studies are prone to bias. Method: Comparison of the reliability of a family of empirical studies on requirements elicitation that explore the same phenomenon using different design types and objective and subjective metrics. Results: The objectively measured variables (experience and knowledge) tend to achieve more reliable results, whereas subjective metrics using Likert scales (expertise and familiarity) tend to be influenced by systematic error or bias. Conclusions: Studies that predominantly use variables measured subjectively, like opinion polls or expert opinion acquisition.
Internacional
Si
Nombre congreso
EASE 2014: International Conference on Evaluation and Assessment in Software Engineering
Tipo de participación
960
Lugar del congreso
London, UK
Revisores
Si
ISBN o ISSN
978-1-4503-2476-2
DOI
10.1145/2601248.2601291
Fecha inicio congreso
13/05/2014
Fecha fin congreso
14/05/2014
Desde la página
1
Hasta la página
4
Título de las actas
Proceedings of the 18th International Conference on Evaluation and Assessment in Software Engineering (EASE 2014)
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ingeniería del Software
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software