Please use this identifier to cite or link to this item: https://hdl.handle.net/1822/36152

TitleComplexity metrics for classSheet models
Author(s)Cunha, Jácome Miguel Costa
Fernandes, João Paulo
Mendes, Jorge
Saraiva, João Alexandre
KeywordsSpreadsheets
Models
ClassSheets
Metrics
Quality
Issue date2013
PublisherSpringer
JournalLecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Abstract(s)This paper proposes a set of metrics for the assessment of the complexity of models defining the business logic of spreadsheets. This set can be considered the first step in the direction of building a quality standard for spreadsheet models, that is still to be defined. The computation of concrete metric values has further been integrated under a well-established model-driven spreadsheet development environment, providing a framework for the analysis of spreadsheet models under spreadsheets themselves.
TypeConference paper
DescriptionLecture Notes in Computer Science Volume 7972, 2013.
URIhttps://hdl.handle.net/1822/36152
ISBN978-3-642-39642-7
DOI10.1007/978-3-642-39643-4_33
ISSN0302-9743
Publisher versionhttp://link.springer.com/chapter/10.1007/978-3-642-39643-4_33
Peer-Reviewedyes
AccessOpen access
Appears in Collections:HASLab - Artigos em atas de conferências internacionais (texto completo)

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