Juan Manuel Cubillos - Academia.edu (original) (raw)
Related Authors
University of Engineering and Technology Taxila, Pakistan
Uploads
Papers by Juan Manuel Cubillos
Proceedings of the 10th International Conference on Predictive Models in Software Engineering, 2014
Anais do XXVI Congresso Ibero-Americano em Engenharia de Software (CIbSE 2023)
Effort estimation is fundamental for developing software projects and critical for their success.... more Effort estimation is fundamental for developing software projects and critical for their success. This paper focuses on how Colombian agile practitioners perform effort estimates in agile projects. For this purpose, we conducted an exploratory survey study that involved 60 respondents. The main findings are the following: (1) Agile practitioners prefer estimation techniques based on Expert Judgement. (2) Most of the respondents perceive that their estimates have a medium accuracy level. (3) The determining effort drivers are features of the project team and the software to be built. (4) The use of datasets for estimation is not common. (5) Most of the results of related studies are similar to ours, with differences in terms of the roles involved and the techniques used.
Proceedings of the 10th International Conference on Predictive Models in Software Engineering, 2014
Anais do XXVI Congresso Ibero-Americano em Engenharia de Software (CIbSE 2023)
Effort estimation is fundamental for developing software projects and critical for their success.... more Effort estimation is fundamental for developing software projects and critical for their success. This paper focuses on how Colombian agile practitioners perform effort estimates in agile projects. For this purpose, we conducted an exploratory survey study that involved 60 respondents. The main findings are the following: (1) Agile practitioners prefer estimation techniques based on Expert Judgement. (2) Most of the respondents perceive that their estimates have a medium accuracy level. (3) The determining effort drivers are features of the project team and the software to be built. (4) The use of datasets for estimation is not common. (5) Most of the results of related studies are similar to ours, with differences in terms of the roles involved and the techniques used.