IT System Design
A tantárgyleírás hatályossága
| Subject name (Hungarian, English) |
Informatikai rendszertervezés
IT System Design
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| Subject code | BMEVIMIAC01 | ||||||||||||
| Subject type | — | ||||||||||||
| Training Level | — | ||||||||||||
| Course types and hours (weekly/semester) |
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| Assessment type | vizsga | ||||||||||||
| Credits | 4 | ||||||||||||
| Subject coordinator |
DR. Molnár Vince
position: egyetemi docens
contact:
molnar.vince@vik.bme.hu
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| Responsible department |
Mesterséges Intelligencia és Rendszertervezés Tanszék
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| Faculty | Villamosmérnöki és Informatikai Kar | ||||||||||||
| Subject website | — | ||||||||||||
| Primary curriculum type | — | ||||||||||||
| Direct prerequisites – Strong prerequisite | none | ||||||||||||
| Direct prerequisites – Weak prerequisite | none | ||||||||||||
| Direct prerequisites – Parallel prerequisite | none | ||||||||||||
| Direct prerequisites – Milestone prerequisite | none | ||||||||||||
| Direct prerequisites – Exclusion | none |
Objectives
Week 1-2: Foundations of systems engineering; Requirements engineering
Concepts of model based systems engineering (development processes, requirements, languages, models, verification and validation), engineering processes (V model vs. agile development), dependability.
Functional and extrafunctional requirements: modeling and analysis. Concept of traceability.
Week 3-4: Structural and behavioral modeling,
Structural models: architecture and component design, well-formedness constraints, interface and datatype design, inter-component communication paths, code generators for static models
Behavioral models: state-based behavioral models of components, dataflow models, scenarios; code generators for behavioral models.
Week 5-6: Platform and Infrastructure modeling
Platform and infrastructure models: Component based integration techniques, system partitioning, infrastructure models, distributed architectures, Modern platforms (case studies): AUTOSAR, MARTE, Cloud
Foundations of fault tolerance – fault, error, failure, availability vs reliability, types and role of redundancy, fault-tolerant design patterns, links with deployment
Week 7-8: Extrafunctional analysis and optimization, Modell-driven deployment
Model-driven deployment: addressing extrafunctional requirements (performance, throughput, capacity estimation, resource allocation, timeliness: WCET, schedulability, availability, optimization), robust partitioning, automated synthesis of deployment descriptors and configuration files
Week 9-10: System verification and validation
Testing of critical components: unit testing (JUnit), static source code analysis (FindBugs, PolySpace), isolation (stub, mock), test coverage (MC/DC).
Model based test design (integration, function, extrafunctional): static consistency checks (completeness, consistency, determinism), statemachine based test generation and verification techniques.
Week 11-12: Model transformation and code generation
Model transformation: role and categorization, main approaches, graph based techniques.
Code generators: categorization, template based code generators (e.g. Acceleo / Xtend).
Week 13-14: Case studies
Model based engineering in critical embedded systems (e.g. automotive, avionics, cyber-physical systems)
Engineering and deployment of business-critical systems
Practice lessons:
Students will need to design a complex system including the following phases:
· Requirements analysis: capturing requirements, traceability.
· System modeling: structural and behavioral models.
· Platform and infrastructure models
· Model-driven deployment
· Model based testing
· Code generation and model transformation.
During practice lessons, consultation will be offered to students to assist them completing their homework assignment.
Learning outcomes
Ez a tantárgy a KKK rendeletben meghatározott, következő kompetenciák fejlesztését szolgálja:
Knowledge
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Skills
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Attitudes
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Autonomy and responsibility
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Oktatási módszertan
Tanulástámogató anyagok
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Short description
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