A Novel Formal Approach to Automatically Suggest Metrics in Software Measurement Plans

Sarah A. Dahab, Juan Jose Hernandez Porras, Stephane Maag

2018

Abstract

The software measurement is an integral part of the software engineering process. With the rise of the software system and their complexity distributed through diverse development phases, the software measurement process has to deal with more management and performance constraints. In fact, the current software measurement process is fixed and manually planned at the beginning of the project and has to manage a huge amount of data resulting from the complexity of the software. Thereby, measuring software becomes costly and heavy. In addition, the implementation of the measures is dependent on the developer and reduce the scalability, maintainability and the interoperability of the measurement process. It becomes expert-dependent and thus more costly. In order to tackle these difficulties, first, we propose in this paper a formal software measurement implementation model based on the standard measurement specification SMM. Then, a software measurement plan suggestion framework based on a learning-based automated analysis.

Paper Citation

in Harvard Style

Dahab S., Porras J. and Maag S. (2018). A Novel Formal Approach to Automatically Suggest Metrics in Software Measurement Plans.In Proceedings of the 13th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-758-300-1, pages 283-290. DOI: 10.5220/0006710902830290

in Bibtex Style

@conference{enase18,
author={Sarah A. Dahab and Juan Jose Hernandez Porras and Stephane Maag},
title={A Novel Formal Approach to Automatically Suggest Metrics in Software Measurement Plans},
booktitle={Proceedings of the 13th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,},
year={2018},
pages={283-290},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006710902830290},
isbn={978-989-758-300-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - A Novel Formal Approach to Automatically Suggest Metrics in Software Measurement Plans
SN - 978-989-758-300-1
AU - Dahab S.
AU - Porras J.
AU - Maag S.
PY - 2018
SP - 283
EP - 290
DO - 10.5220/0006710902830290