1. SylabUZ
2. Faculty of Computer Science, Electrical Engineering and Automatics
3. winter term 2017/2018
4. Computer Science - Erasmus programme
5. Foundations of software modelling

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Foundations of software modelling - course description

Aim of the course

- obtaining basic knowledge about software modelling

- familiarizing students with practical applications of software modelling for simple software systems

- familiarizing students with proper way of practical implementation of solution to simple problems using software design patterns

Prerequisites

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Object-oriented programming, Software Engineering

Scope

Introductory issues. Background and history of modern modelling techniques. Unified process of application life cycle. System analysis and design. Object paradigm. Object modelling and its role in design of information systems. Class-Responsibility-Collaboration (CRC) diagrams. Software production processes.

Introduction to Unified Modelling Language (UML) notation and diagrams.Genesis and purpose of UML. Structural modelling. Basic notions and elements of object architecture: classes, objects, abstractions, encapsulation, inheritance, polymorphism, communication, relations and associations between objects. Static structural diagrams: class and object diagrams.Association modelling: aggregation, composition, generalization, specialization, dependencies and realization. Packages and subsystems. Types, interfaces and implementation classes. Implementation diagrams: component and deployment diagrams. Requirements and their specification. Use case diagrams.
Use case analysis: inclusion, extension, grouping and generalization. Behavioural modelling. Sequence and collaboration diagrams. Roles, messages and stimuli.
Interactions and collaborations. Analysis of system states. State and activity diagrams. Flow transfer. Decisions. Concurrency. Signals and communication

Design patterns. Formulation of programming problems. Overview of most popular construction, structural and behavioural design patterns. Creational and testing patterns.

Practical issues. Work with use cases. General overview on design, deployment and testing. Presentation of dedicated UML design tools.

Teaching methods

lecture: brainstorm, discussion, practical tasks, conventional lecture

laboratory: brainstorm, working with source files, discussion, working in groups, practical tasks, conventional lecture

project: brainstorm, working with source files, discussion, working in groups, practical tasks, conventional lecture

Learning outcomes and methods of theirs verification

Outcome description	Outcome symbols	Methods of verification	The class form

Assignment conditions

Lecture - a credit is given for obtaining a passing grade for all exams administered at least once per semester

Laboratory - to receive a final passing grade student has to receive passing grades for all tasks required by the curriculum.

Project - to receive a final passing grade student has to receive passing grades for all tasks and projects required by the curriculum..

Calculation of the final grade = lecture: 40% + laboratory: 20% + project: 40%

Recommended reading

 

1. Martin R.C.: Clean Code: A Handbook of Agile Software Craftsmanship, Prentice Hall, 2008

2. Beck K.: Test Driven Development: By Example, Addison-Wesley Professional, 2002

3. Freeman E., Freeman E., Bates B., Sierra K.:Head First Design Patterns!, O'Reilly Media, 2004

4. UML @ Classroom, Seidl, M., Scholz, M, Springer International Publishing, 2015

5. Larman C.: Applying UML and Patterns: An Introduction to Object-Oriented Analysis and Design and Iterative Development (3rd Edition), Prentice Hall, 2004

Further reading

 

1. Martin R.C., Martin M.: Agile Principles, Patterns, and Practices in C#, Prentice Hall, 2006

2. Way J.: Laravel Testing Decoded, Leanpub 2013

Notes

Modified by dr inż. Łukasz Hładowski (last modification: 05-04-2018 07:41)