scholarly journals Applying a Data Quality Model to Experiments in Software Engineering

2014 ◽  
pp. 168-177 ◽  
Author(s):  
María Carolina Valverde ◽  
Diego Vallespir ◽  
Adriana Marotta ◽  
Jose Ignacio Panach
Keyword(s):  
Software Engineering ◽  
Data Quality ◽  
Quality Model

scholarly journals User-Oriented Approach to Data Quality Evaluation

2020 ◽  
Vol 26 (1) ◽  
pp. 107-126
Author(s):  
Anastasija Nikiforova ◽  
Janis Bicevskis ◽  
Zane Bicevska ◽  
Ivo Oditis
Keyword(s):  
Data Quality ◽  
Quality Evaluation ◽  
Open Data ◽  
Evaluation Process ◽  
Specific Model ◽  
Third Party ◽  
Quality Model ◽  
Levels Of Abstraction ◽  
Quality Requirements ◽  
Data Object

The paper proposes a new data object-driven approach to data quality evaluation. It consists of three main components: (1) a data object, (2) data quality requirements, and (3) data quality evaluation process. As data quality is of relative nature, the data object and quality requirements are (a) use-case dependent and (b) defined by the user in accordance with his needs. All three components of the presented data quality model are described using graphical Domain Specific Languages (DSLs). In accordance with Model-Driven Architecture (MDA), the data quality model is built in two steps: (1) creating a platform-independent model (PIM), and (2) converting the created PIM into a platform-specific model (PSM). The PIM comprises informal specifications of data quality. The PSM describes the implementation of a data quality model, thus making it executable, enabling data object scanning and detecting data quality defects and anomalies. The proposed approach was applied to open data sets, analysing their quality. At least 3 advantages were highlighted: (1) a graphical data quality model allows the definition of data quality by non-IT and non-data quality experts as the presented diagrams are easy to read, create and modify, (2) the data quality model allows an analysis of "third-party" data without deeper knowledge on how the data were accrued and processed, (3) the quality of the data can be described at least at two levels of abstraction - informally using natural language or formally by including executable artefacts such as SQL statements.

A First Approach to a Data Quality Model for Web Portals

2006 ◽  
pp. 984-993
Author(s):  
Angelica Caro ◽  
Coral Calero ◽  
Ismael Caballero ◽  
Mario Piattini
Keyword(s):  
Data Quality ◽  
Web Portals ◽  
Quality Model

Towards verified continuous integration in the engineering of automated production systems

2018 ◽  
Vol 66 (10) ◽  
pp. 784-794 ◽  
Author(s):  
Jakob Mund ◽  
Safa Bougouffa ◽  
Iman Badr ◽  
Birgit Vogel-Heuser
Keyword(s):  
Quality Assurance ◽  
Software Engineering ◽  
System Integration ◽  
Research Agenda ◽  
Production Systems ◽  
Individual Quality ◽  
Quality Model ◽  
Automated Production ◽  
Continuous Integration ◽  
Verification Techniques

Abstract Continuous integration (CI) is widely used in software engineering. The observed benefits include reduced efforts for system integration, which is particularly appealing for engineering automated production systems (aPS) due to the different disciplines involved. Yet, while many individual quality assurance means for aPS have been proposed, their adequacy for and systematic use in CI remains unclear. In this article, the authors provide two key contributions: First, a quality model for a model-based engineering approach specifically developed for aPS. Based thereon, a discussion of the suitable verification techniques for aPS and their systematic integration in a CI process are given. As a result, the paper provide a blueprint to be further studied in practice, and a research agenda for quality assurance of aPS.

Defining a Data Quality Model for Web Portals

2006 ◽  
pp. 363-374 ◽  
Author(s):  
Angélica Caro ◽  
Coral Calero ◽  
Ismael Caballero ◽  
Mario Piattini
Keyword(s):  
Data Quality ◽  
Web Portals ◽  
Quality Model

A Distributed Storage System Using a Mobile Ad hoc Network

2019 ◽  
Vol 10 (3) ◽  
pp. 76-89
Author(s):  
Arhantika Nathaniel ◽  
Angelic Goyal ◽  
Parmeet Kaur
Keyword(s):  
Data Quality ◽  
Mobile Ad Hoc Network ◽  
Indoor Localization ◽  
Distributed Storage ◽  
Storage System ◽  
Ambient Assisted Living ◽  
Quality Criteria ◽  
Sensor Data ◽  
Evaluation Procedure ◽  
Quality Model

The Ambient Assisted Living (AAL) domain aims to support the daily life activities of elders, patients with chronic conditions, and disabled people. Several AAL platforms have been developed over the last two decades. Hence, there is a need to identify Quality Criteria (QC) and make it well defined in order to achieve the AAL system purposes. To be able to convince all stakeholders including both technologies and end users of AAL systems, high quality must be guaranteed. The goal of this article is to obtain a set of data quality characteristics that would be applicable to AAL system, and have its performance evaluated using sensor data. To this end, this work uses the ISO/IEC 25012 and ISO/IEC 25010 standards to extract the most relevant criteria that are apt for AAL systems. As a result, an evaluation approach on an indoor localization platform was made, and an evaluation procedure has been established. This is done by first generating a hierarchical data quality model, and have it evaluated using the metrics, based on the sensor data and the concept of fuzzy logic.

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