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Engineering 2: Automated Software Engineering - COM00055H

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• Department: Computer Science
• Module co-ordinator: Dr. Antonio Garcia-Dominguez
• Credit value: 20 credits
• Credit level: H
• Academic year of delivery: 2024-25
  • See module specification for other years: 2023-24

Related modules

Module will run

Occurrence	Teaching period
A	Semester 2 2024-25

Module aims

This module builds on ENG1 and introduces advanced techniques for engineering large, data-intensive software systems that consist of components written in different programming languages and operating on a variety of platforms. In order to manage the complexity of engineering such data-intensive systems, ENG2 will introduce the theory, principles and practices of model-driven engineering (MDE), focusing on technical topics. These include modelling, metamodelling, model management, model transformation, model-driven traceability, workflows, model validation, and model evolution. Non-technical issues including standards, domain-specific MDE versus general-purpose MDE and MDE processes will also be considered. The discussion of concepts and technologies for engineering modern data-intensive software systems will start from a general discussion about architectural concerns, then move on to discuss their design, implementation as a collaboration of microservices, and using containers for reproducible and scalable deployment. ENG2 will discuss assurance practices around data-intensive software systems, such as testing and hardening.

Module learning outcomes

1. Demonstrate the principles and practices of modelling and metamodelling.

2. Implement and orchestrate domain-specific models, metamodels and model management operations.

3. Demonstrate the design principles for data-intensive software systems, including their architecture characteristics like availability, scalability, reliability and security, and the characteristics of the organisation.

4. Structure data-intensive systems as combinations of independently maintained microservices, and propose benefits and challenges in terms of complexity management, organisational scalability, and resource usage.

5. Deploy the components of data-intensive systems in a scalable and reproducible manner, by packaging them as containers and orchestrating these containers to work with each other.

6. Describe assurance practices in the development and deployment of large data-intensive systems, including testing and hardening.

7. Articulate how Model-Driven Engineering integrates with wider system engineering processes and policies, including those of a data-intensive software system.

Assessment

Task	Length	% of module mark
Essay/coursework Essay : ENG2 Coursework Assessment	N/A	100

Special assessment rules

None

Reassessment

Task	Length	% of module mark
Essay/coursework Essay : ENG2 Coursework Assessment	N/A	100

Module feedback

Feedback is provided throughout the sessions, and after the assessment as per normal University guidelines.

Indicative reading

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