Collaborative Classification and Models
Business Models, Process Improvement, Contract Management, KPIs and Benchmarking Indexes
Collaboration Risk and Value Sharing
Collaborative Planning and Synchromodality
Customs & Regulatory Compliance
Environmental Performance Management
Logistics Optimisation
Stock Optimisation
Supply Chain Corrective and Preventive Actions (CAPA)
Supply Chain Financing
Supply Chain Visibility
Common Information Objects
Booking
Customs Declarations
Transport Service Description
Transport Status
Waybills
Computing and Processing
Big Data Management and Analytics
Cloud
Edge
Fog
Knowledge Graphs
Machine Learning
MIST
Stream Processing
Connectivity
Architecture
Blockchain
Connectivity Interfaces
Technologies (Bluetooth, Ethernet, Wifi)
Data Management, Simulation and Dashboards
Dashboards
Data Fusion
Data Governance, Integrity, Quality Management and Harmonization
Event Handling
Open Data
Simulation
Statistics and Key Performance Indicators (KPIs)
Devices
IoT Controllers
IoT Gateways
IoT Sensors
Tracking Sensors
Digitisation Frameworks
Control Towers
Data Pipelines
e-Freight
e-Maritime
National Single Windows
Port Community Systems
Industrial IoT Sectors
Rail Sector Active Predictive Maintenance
IoT Secuirty, Privacy and Safety Systems
PKI Technology
Project Results
CHARIOT Capacity Building and Trainings
CHARIOT Deliverables
CHARIOT Publications
SELIS Deliverables
SELIS Publications and Press Releases
Safety, Security and Privacy Systems
Access Management
Coordinated Border Management
Information Security
International Organisations
Risk Assessment and Management
Risk Management
Safety and Security Assessment
Source Code Analysis
Sectors and Stakeholders
Airports and Air Transport
Banks, investors and other funding providers
Custom Authorities
Facilities, Warehouses
Freight Forwarders
Inland Waterways
Multimodal Operators
Ports and Terminals
Railway
Retailers
Road Transport
Shippers
Shipping
Smart Buildings
Trusties and other Intermediary Organizations
Urban and Countryside Logistics
Urban Logistics
Standards
Good Distribution Practices
International data standards
International Organization for Standardization (ISO)
UN/CEFACT
World Customs Organization (WCO)
Supply Chain Management
Business Models, Process Improvement, Contract Management, KPIs and Benchmarking Indexes
Risk Management
Risk-Based Controls
Screening and tracking
Supervision Approach
Technologies
5g
Agile Deployment, Configuration Management
Business Applications
Business Integration Patterns, Publish-Subscribe
Cloud Technologies/Computing, Services Virtualisation
Cognitive
Community Node Platform and Application Monitoring
Connectivity Technologies (Interfaces and Block Chain)
Hybrid S/T Communication and Navigation Platforms
IoT (Sensors, platforms)
Mobile
Physical Internet (PI)
Public key infrastructure (PKI)
Radio-frequency identification (RFID)

Source Code Analysis

source code analysis

 


Margaret Rouse

Source code analysis is the automated testing of source code for the purpose of debugging a computer program or application before it is distributed or sold. Source code consists of statements created with a text editor or visual programming tool and then saved in a file. The source code is the most permanent form of a program, even though the program may later be modified, improved or upgraded.

Source code analysis can be either static or dynamic. In static analysis, debugging is done by examining the code without actually executing the program. This can reveal errors at an early stage in program development, often eliminating the need for multiple revisions later. After static analysis has been done, dynamic analysis is performed in an effort to uncover more subtle defects or vulnerabilities. Dynamic analysis consists of real-time program testing.

 

 

 

Reference Link

Attached Documents

The “CHARIOT IoT Search Index” aims to provide a web location where publications, articles, and relevant documents can be centralized hosted in a well-structured and easily accessed way.

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