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A novel formal approach to automatically suggest metrics in software measurement plans

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationENASE 2018 - Proceedings of the 13th International Conference on Evaluation of Novel Approaches to Software Engineering
EditorsErnesto Damiani, George Spanoudakis, Leszek Maciaszek, Leszek Maciaszek
PublisherSciTePress
Pages283-298
Number of pages16
ISBN (Electronic)9789897583001
DOIs
Publication statusPublished - 1 Jan 2018
Externally publishedYes
Event13th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2018 - Funchal, Madeira, Portugal
Duration: 23 Mar 201824 Mar 2018

Publication series

NameENASE 2018 - Proceedings of the 13th International Conference on Evaluation of Novel Approaches to Software Engineering
Volume2018-March

Conference

Conference13th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2018
Country/TerritoryPortugal
CityFunchal, Madeira
Period23/03/1824/03/18

Keywords

  • Big Data
  • Formal Measurement
  • Formal Software Measurement
  • Measurement Plan
  • SVM
  • Software Measurement
  • Software Metrics

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