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Metrics for data warehouse conceptual models understandability
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-44759-8_65openalex-snapshot
A Framework for the Classification and Description of Multidimensional Data Models
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Using Metrics to Predict OO Information Systems Maintainability
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Extending the UML for Multidimensional Modeling
inferredcites →https://doi.org/10.1007/978-1-4419-9224-6openalex-snapshot
Architecture of Systems Problem Solving
inferredcites →https://doi.org/10.1007/978-1-4757-3304-4openalex-snapshot
Basics of Software Engineering Experimentation
inferredcites →https://doi.org/10.1007/978-3-540-25975-6_36openalex-snapshot
Empirical Validation of Metrics for Conceptual Models of Data Warehouses
inferredcites →https://doi.org/10.1007/978-3-540-49121-7_9openalex-snapshot
Extending the E/R Model for the Multidimensional Paradigm
inferredcites →https://doi.org/10.1007/978-3-540-49524-6_18openalex-snapshot
Metrics for Evaluating the Quality of Entity Relationship Models
inferredcites →https://doi.org/10.1007/978-3-540-49524-6_28openalex-snapshot
Design and Analysis of Quality Information for Data Warehouses
inferredcites →https://doi.org/10.1007/978-3-662-05153-5openalex-snapshot
Fundamentals of Data Warehouses
inferredcites →https://doi.org/10.1007/springerreference_16847openalex-snapshot
International Organization for Standardization
inferredcites →https://doi.org/10.1016/0040-1625(95)90045-4openalex-snapshot
Dealing with complexity: An introduction to the theory and application of systems science
inferredcites →https://doi.org/10.1016/0950-5849(96)81745-9openalex-snapshot
Evaluating the quality of entity relationship models
inferredcites →https://doi.org/10.1016/s0218-1940(00)00032-8openalex-snapshot
PRODUCTION AND MAINTENANCE OF GOAL-ORIENTED SOFTWARE MEASUREMENT MODELS
inferredcites →https://doi.org/10.1016/s0306-4379(02)00024-8openalex-snapshot
Multidimensional normal forms for data warehouse design
inferredcites →https://doi.org/10.1016/s0898-1221(00)90203-7openalex-snapshot
Experimentation in software engineering: An introduction
inferredcites →https://doi.org/10.1049/ip-sen:20020697openalex-snapshot
Validating metrics for data warehouses
inferredcites →https://doi.org/10.1057/jit.1991.45openalex-snapshot
Software Metrics. A Rigorous Approach
inferredcites →https://doi.org/10.1109/2.970579openalex-snapshot
Designing data warehouses with OO conceptual models
inferredcites →https://doi.org/10.1109/32.295895openalex-snapshot
A metrics suite for object oriented design
inferredcites →https://doi.org/10.1109/32.481535openalex-snapshot
Property-based software engineering measurement
inferredcites →https://doi.org/10.1109/32.6178openalex-snapshot
Evaluating software complexity measures
inferredcites →https://doi.org/10.1109/32.799939openalex-snapshot
Building knowledge through families of experiments
inferredcites →https://doi.org/10.1109/csmr.1998.665739openalex-snapshot
OOA metrics for the Unified Modeling Language
inferredcites →https://doi.org/10.1109/dexa.1998.707403openalex-snapshot
Finding your way through multidimensional data models
inferredcites →https://doi.org/10.1109/icse.2003.1201263openalex-snapshot
Practical software measurement
inferredcites →https://doi.org/10.1109/ideas.2002.1029670openalex-snapshot
YAM/sup 2/ (yet another multidimensional model): an extension of UML
inferredcites →https://doi.org/10.1109/ssdm.1998.688112openalex-snapshot
Normal forms for multidimensional databases
inferredcites →https://doi.org/10.1109/tse.1983.235271openalex-snapshot
Software Function, Source Lines of Code, and Development Effort Prediction: A Software Science Validation
inferredcites →https://doi.org/10.1109/tse.1984.5010301openalex-snapshot
A Methodology for Collecting Valid Software Engineering Data
inferredcites →https://doi.org/10.1109/tse.2002.1027796openalex-snapshot
Preliminary guidelines for empirical research in software engineering
inferredcites →https://doi.org/10.1142/s0218843098000118openalex-snapshot
THE DIMENSIONAL FACT MODEL: A CONCEPTUAL MODEL FOR DATA WAREHOUSES
inferredcites →https://doi.org/10.1145/294260.294261openalex-snapshot
A methodological framework for data warehouse design
inferredcites →https://doi.org/10.1145/302405.302654openalex-snapshot
Investigating quality factors in object-oriented designs
inferredcites →https://doi.org/10.1145/776985.776995openalex-snapshot
Fundamentals of data warehouses
inferredcites →https://doi.org/10.1177/0268396291006003-421openalex-snapshot
Software Metrics. A Rigorous Approach
inferredcites →https://doi.org/10.1515/9783110807301openalex-snapshot
A Framework of Software Measurement
inferredcites →https://doi.org/10.24406/publica-fhg-289501openalex-snapshot
A Comprehensive Investigation of Quality Factors in Object-Oriented Designs. An Industrial Case Study
inferredcites →https://doi.org/10.5281/zenodo.1217608openalex-snapshot
Object-Oriented Software Engineering: Measuring And Controlling The Development Process
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Quality of Data Warehouses
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Quality of Data Warehouses
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Quality of Data Warehouses
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Towards a Set of Metrics for Quantum Circuits Understandability
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A Novel Approach of Using Materialized Queries for Retrieving Results from Data Warehouse
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Quantum Software Quality Metrics
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Metrics for Data Warehouse Quality
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Quality Metrics for Data Warehouse Multidimensional Models with Focus on Dimension Hierarchy Sharing
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Evaluation of Data Warehouse Quality from Conceptual Model Perspective
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A Multi-driven Approach to Improve Data Analytics for Multi-value Dimensions
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Empirical Validation of Object Oriented Data Warehouse Design Quality Metrics
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Towards the Reconstruction and Evaluation of Conceptual Model Quality Discourses – Methodical Framework and Application in the Context of Model Understandability
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Understanding Understandability of Conceptual Models – What Are We Actually Talking about?
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Quality Assessment of Data Using Statistical and Machine Learning Methods
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Theoretical Validation of Object-Oriented Metrics for Data Warehouse Multidimensional Model
inferred← citeshttps://doi.org/10.1007/978-981-13-1742-2_4openalex-snapshot
Materialized Queries with Incremental Updates
inferred← citeshttps://doi.org/10.1007/978-981-15-1420-3_104openalex-snapshot
Analyzing the Understandability of Data Warehouse Conceptual Model Using Fuzzy Logic Techniques
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Theoretical Validation of Data Warehouse Requirements Metrics Based on Agent Goal Decision Information Model Using Zuse’s Framework
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Requirements-driven data warehouse design based on enhanced pivot tables
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Multidimensional modeling driven from a domain language
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The contribution of linked open data to augment a traditional data warehouse
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Object-oriented dynamic complexity measures for software understandability
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Investigating structural metrics for understandability prediction of data warehouse multidimensional schemas using machine learning techniques
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Empirical validation of metrics for object oriented multidimensional model for data warehouse
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Theoretical and empirical validation of comprehensive complexity metric for multidimensional models for data warehouse
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Empirical validation of structural metrics for predicting understandability of conceptual schemas for data warehouse
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Empirical analysis of metrics for object oriented multidimensional model of data warehouse using unsupervised machine learning techniques
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Quality metrics emphasizing dimension hierarchy sharing in multidimensional models for data warehouse: a theoretical and empirical evaluation
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Theoretical and Empirical Validation of Coupling Metrics for Object-Oriented Data Warehouse Design
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Investigating Requirements Completeness Metrics for Requirements Schemas Using Requirements Engineering Approach of Data Warehouse: A Formal and Empirical Validation
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Adding semantic modules to improve goal-oriented analysis of data warehouses using I-star
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Literature Review of Data Model Quality Metrics of Data Warehouse
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Validating dimension hierarchy metrics for the understandability of multidimensional models for data warehouse
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Comprehensive complexity metric for data warehouse multidimensional model understandability
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Experimental Evaluation of Completeness Metrics for Requirements Model with SVM
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Incremental updates using Data Warehouse versus Data Marts
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Formally Investigating Traceability Metrics of Data Warehouse Requirements Model using Briand's Framework
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Empirical investigation of metrics for multidimensional model of Data Warehouse using Support Vector Machine
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