A Cost Estimating Method for Agile Software Development

In every software development project, the software effort estimating procedure is an important process in software engineering and always critical. The consistency of effort and timeline estimation, along with several factors, determines whether a project succeeds or fails. Both academics and profe...

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Autores:
Aziz Butt, Shariq
Misra, Sanjay
Piñeres-Espitia, Gabriel
Ariza-Colpas, Paola
Mohan Sharma, Mayank
Tipo de recurso:
Article of journal
Fecha de publicación:
2021
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/8816
Acceso en línea:
https://hdl.handle.net/11323/8816
https://doi.org/10.1007/978-3-030-87007-2_17
https://repositorio.cuc.edu.co/
Palabra clave:
Software effort estimate
Agile development
User stories
Metrics and measurement
Maintainability
Rights
openAccess
License
Attribution-NonCommercial-NoDerivatives 4.0 International
Description
Summary:In every software development project, the software effort estimating procedure is an important process in software engineering and always critical. The consistency of effort and timeline estimation, along with several factors, determines whether a project succeeds or fails. Both academics and professionals worked on the estimation approaches in software engineering. But, all these approaches have many problems that need to be addressed. One of the most difficult aspects of software engineering is estimating effort in agile development. This study aims to provide an effort estimation method for agile software development projects. Because in software engineering, the agile method is widely used for the development of software applications. The development and usage of the agile method are described in depth in this study. The framework is configured with empirical data gathered by projects from the software industry. The test findings reveal that the estimation method has great estimation accuracy in respect of mean magnitude of relative error (MMRE) and Prediction of Error PRED (n). The suggested approach achieves more accuracy for effort estimation as compare to others.