Test cases specifications

General definitions
Abbreviations lists
Actors
Test cases list

General definitions

In this section, the main concepts and technologies are introduced in order to ease the understanding of the different test use cases.

FADI platform is a Cloud Native platform for Big Data based on mature open source tools. The FADI project is dedicated to making the deployment of Big Data tools simple, portable and scalable. The goal is to provide a straightforward way to deploy open-source systems for Big Data to various infrastructures (private and public clouds).
FADI dashboard is actually the Kubernetes dashboard that enables to have an idea about the status of the Kubernetes pods by launching the command “minikube dashboard”.
Adminer is an open source graphical administration tool for relational databases. It is used in FADI in order to ease the management of the PostgreSQL databases.
Apache Nifi is an open source tool designed to automate the flow of data between software systems. It used in the FADI platform in order to collect data, to extract it, to transform it and to store it in the appropriate data store.
PostgreSQL is an open source relational database management system and it is used to store the data in the FADI platform.
Grafana is an open source tool enabling the visualization and the formatting of metrics data coming from different type of databases. It can play the role of the FADI dashboard.
Apache Superset is an open source tool to visualize big data and it can play the role of th FADI dashboard.
Spark is an open source analytics engine for large-scale data processing. It is used in the FADI platform to analyse data.
Jupyter is a notebook that provides an easy interface to the Spark processing engine that runs on your cluster. It is used in the FADI platform to enable the use of Spark and explore data.

Abbreviations list

Abbreviation	Meaning

Actors

The client side

Operator (Fraiseur/responsable de maintenance) (co): operator on machine. He must understand information given by analysis dashboards to achieve his work.
Factory Leader (cfl): he manages the factory (Tenant) and the Operators.
Business Analyst (cba): he builds BI analysis dashboard based on the data warehouse.
Business Leader (cbl): He manages the business of the factory (Tenant) and the Business Analysts.
Data Scientist (cds): he defines algorithms to analyse data for trends identification. He defines the data warehouse structure and content.
Data Engineer (cde): he configures the resources the Data Scientist needs and the ingestion process from the factories to the datalake.
Tenant Admin (cta): it is the user in charge of the Tenant.

The backend side

Platform Admin (hpa): he manages tenants.
System Admin (hsa): he installs and maintains the platform.
Stakeholders (hs): board of directors.
ICT manager (hm): he manages the project, the Platform Admin and the System Admin.

Test case ID	Test case name	Primary Actor	Scope
TC-1	Authentication to a given tool via LDAP	all actors	Authentication
TC-2	Access to the FADI dashboard	Platform Admin, System Admin, Stakeholders, ICT manager	IHM
TC-3	Defining the Nifi workflow	Data Scientist, Data Engineer	Data ingestion
TC-4	Defining the Nifi workflow by uploading a template	Data Scientist, Data Engineer	Data ingestion
TC-6	Creating a table in Adminer	Data Engineer	Data storage
TC-9	Inserting data in a given table	Data Engineer	Data storage
TC-10	Configuring a data source in the Grafana dashboard	Business Analyst, Business Leader	Exploring and displaying data
TC-11	Defining dashboards based on the analyzed data using Grafana	Business Analyst, Business Leader	Exploring and displaying data
TC-12	Defining alerts using Grafana	Business Analyst, Business Leader	Exploring and displaying data
TC-13	Configuring a database in Superset	Business Analyst, Business Leader	Exploring and displaying data
TC-14	Configuring a table in Superset	Business Analyst, Business Leader	Exploring and displaying data
TC-15	Creating a chart in Superset	Business Analyst, Business Leader	Exploring and displaying data
TC-16	Saving a dashboard in Superset	Business Analyst, Business Leader	Exploring and displaying data
TC-17	Preparing reports using Superset	Business Analyst, Business Leader	Exploring and displaying data
TC-18	Loading data in Jupyter	Business Analyst, Business Leader	Exploring and displaying data
TC-19	Analyzing data using Jupyter	Business Analyst, Business Leader	Data processing
TC-20	Loading data in Spark	Business Analyst, Business Leader	Exploring and displaying data
TC-21	Analyzing data using Spark	Business Analyst, Business Leader	Data processing