Formal Verification of Dynamic Evolution Processes of UML Models Using Aspects

2017 ◽  
Author(s):  
Yasuyuki Tahara ◽  
Akihiko Ohsuga ◽  
Shinichi Honiden
Keyword(s):  
Formal Verification ◽  
Dynamic Evolution ◽  
Uml Models

scholarly journals Generic Methodology for Formal Verification of UML Models

2022 ◽  
Vol 72 (1) ◽  
pp. 40-48
Author(s):  
K.H. Kochaleema ◽  
G. Santhosh Kumar
Keyword(s):  
Software Development ◽  
Embedded System ◽  
Formal Verification ◽  
Formal Methods ◽  
Error Detection ◽  
Formal Model ◽  
Early Error ◽  
Verification Process ◽  
Property Verification ◽  
Uml Models

This paper discusses a Unified Modelling Language (UML) based formal verification methodology for early error detection in the model-based software development cycle. Our approach proposes a UML-based formal verification process utilising functional and behavioural modelling artifacts of UML. It reinforces these artifacts with formal model transition and property verification. The main contribution is a UML to Labelled Transition System (LTS) Translator application that automatically converts UML Statecharts to formal models. Property specifications are derived from system requirements and corresponding Computational Tree Logic (CTL)/Linear Temporal Logic (LTL) model checking procedure verifies property entailment in LTS. With its ability to verify CTL and LTL specifications, the methodology becomes generic for verifying all types of embedded system behaviours. The steep learning curve associated with formal methods is avoided through the automatic formal model generation and thus reduces the reluctance of using formal methods in software development projects. A case study of an embedded controller used in military applications validates the methodology. It establishes how the methodology finds its use in verifying the correctness and consistency of UML models before implementation.

Formal Verification of Control System Software

2019 ◽  
Author(s):  
Pierre-Loïc Garoche
Keyword(s):  
Control System ◽  
Formal Verification ◽  
Formal Analysis ◽  
Critical Systems ◽  
System Software ◽  
Unified Approach ◽  
Verification Methods ◽  
Autonomous Cars ◽  
Computer Scientists ◽  
Verification Techniques

The verification of control system software is critical to a host of technologies and industries, from aeronautics and medical technology to the cars we drive. The failure of controller software can cost people their lives. This book provides control engineers and computer scientists with an introduction to the formal techniques for analyzing and verifying this important class of software. Too often, control engineers are unaware of the issues surrounding the verification of software, while computer scientists tend to be unfamiliar with the specificities of controller software. The book provides a unified approach that is geared to graduate students in both fields, covering formal verification methods as well as the design and verification of controllers. It presents a wealth of new verification techniques for performing exhaustive analysis of controller software. These include new means to compute nonlinear invariants, the use of convex optimization tools, and methods for dealing with numerical imprecisions such as floating point computations occurring in the analyzed software. As the autonomy of critical systems continues to increase—as evidenced by autonomous cars, drones, and satellites and landers—the numerical functions in these systems are growing ever more advanced. The techniques presented here are essential to support the formal analysis of the controller software being used in these new and emerging technologies.

Effective UML models by using database system

2013 ◽  
Vol 1 (1) ◽  
pp. 1-3
Author(s):  
Faisal Halim ◽  
◽  
Rizal Muttaqin ◽  
Keyword(s):  
Database System ◽  
Uml Models
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