A post-masters program in advanced software engineering for real-time embedded systems

Methodology and CASE tools in real-time embedded systems This paper discusses key aspects of software engineering methods and associated CASE (Computer Aided Software Engineering) tools in the undergraduate curriculum. The context is that of first degree courses in Electronic, Electrical and Systems Engineering, with particular reference to real-time embedded systems.

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Maintainability Procedure in Component-Based Software

Journal of Computational and Theoretical Nanoscience ◽

10.1166/jctn.2020.9357 ◽

2020 ◽

Vol 17 (11) ◽

pp. 5156-5161

Author(s):

Amandeep Kaur ◽

Puninder Kaur ◽

Payal Kaushal

Keyword(s):

Quality Assurance ◽

Software Engineering ◽

Embedded Systems ◽

Real Time ◽

Quality Attributes ◽

Distributed Environment ◽

Service Requirement ◽

Software Frameworks ◽

Multiple Factors ◽

Component Based Software Engineering

Changes in service requirement of software demands consequent changes in its maintainability. An important aspect of changes is that it affects various factors in Component Based Software Engineering which is reuse-based approach to define, implement, and integrate different components into system. Variety of Component-based software frameworks for distributed, real-time and embedded systems in Component-oriented programming are existing for specific domains in order to deal with different requirements. Functionalities under component based system affecting multiple factors in a distributed environment. It is therefore more than necessary to consider various quality attributes like reliability, maintainability, interpretability and reusability for determining quality assurance. The article presents an approach to enhance the promptness of system maintainability in case of changes in component based software.

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Software Engineering for Real Time Systems

IEE Review ◽

10.1049/ir:19920047 ◽

1992 ◽

Vol 38 (3) ◽

pp. 112

Author(s):

Stuart Bennett

Keyword(s):

Software Engineering ◽

Real Time ◽

Real Time Systems ◽

Time Systems

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Computer-Aided Software Engineering - An approach to real-time software development

10.2514/6.1989-2961 ◽

1989 ◽

Cited By ~ 1

Author(s):

CARRIE WALKER ◽

JOHN TURKOVICH

Keyword(s):

Software Engineering ◽

Software Development ◽

Real Time ◽

Computer Aided ◽

Computer Aided Software Engineering

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Diagrams and Languages for Model-Based Software Engineering of Embedded Systems: UML and AADL

10.21236/ada633428 ◽

2007 ◽

Cited By ~ 10

Author(s):

Dionisio de Niz

Keyword(s):

Software Engineering ◽

Embedded Systems ◽

Model Based

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A Novel Rail-Network Hardware Simulator for Embedded System Programming

Electronics ◽

10.3390/electronics10010013 ◽

2020 ◽

Vol 10 (1) ◽

pp. 13

Author(s):

Balaji M ◽

Chandrasekaran M ◽

Vaithiyanathan Dhandapani

Keyword(s):

Embedded Systems ◽

Embedded System ◽

Real Time ◽

Learning Outcomes ◽

Real World ◽

Time Constraints ◽

Network Simulator ◽

Practical Applications ◽

Rail Network ◽

Knowledge Enhancement

A Novel Rail-Network Hardware with simulation facilities is presented in this paper. The hardware is designed to facilitate the learning of application-oriented, logical, real-time programming in an embedded system environment. The platform enables the creation of multiple unique programming scenarios with variability in complexity without any hardware changes. Prior experimental hardware comes with static programming facilities that focus the students’ learning on hardware features and programming basics, leaving them ill-equipped to take up practical applications with more real-time constraints. This hardware complements and completes their learning to help them program real-world embedded systems. The hardware uses LEDs to simulate the movement of trains in a network. The network has train stations, intersections and parking slots where the train movements can be controlled by using a 16-bit Renesas RL78/G13 microcontroller. Additionally, simulating facilities are provided to enable the students to navigate the trains by manual controls using switches and indicators. This helps them get an easy understanding of train navigation functions before taking up programming. The students start with simple tasks and gradually progress to more complicated ones with real-time constraints, on their own. During training, students’ learning outcomes are evaluated by obtaining their feedback and conducting a test at the end to measure their knowledge acquisition during the training. Students’ Knowledge Enhancement Index is originated to measure the knowledge acquired by the students. It is observed that 87% of students have successfully enhanced their knowledge undergoing training with this rail-network simulator.

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