FI:PV260 Software Quality - Course Information

PV260 Software Quality

Extent and Intensity

2/2/1. 4 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
In-person direct teaching

Teacher(s)

doc. Ing. RNDr. Barbora Bühnová, Ph.D. (lecturer)
Bruno Rossi, PhD (lecturer)
RNDr. Ondřej Krajíček (lecturer)
Bc. Erik Báča (seminar tutor)
Mgr. Radim Göth (seminar tutor)
Ing. Dávid Halász (seminar tutor)
Bc. Radovan Hančuľák (seminar tutor)
Ing. Pavel Hrdina (seminar tutor)
Mgr. Matěj Karolyi (seminar tutor)
Ing. Ondřej Konečný (seminar tutor)
Ing. Mgr. Miroslav Kubus (seminar tutor)
Ing. Juraj Strecha (seminar tutor)
Bc. Dominik Drdák (assistant)
Bc. Michal Eisner (assistant)
Ing. Marek Kadlečík (assistant)
Bc. Tomáš Madeja (assistant)
Erik Matuška (assistant)

Guaranteed by

Bruno Rossi, PhD
Department of Computer Systems and Communications – Faculty of Informatics
Supplier department: Department of Computer Systems and Communications – Faculty of Informatics

Prerequisites (in Czech)

( PV168 Seminar in Java programming || PA165 Java Enterprise Applications || PV178 Introduction to C#/.NET || PV179 System Development in C#/.NET ) || SOUHLAS

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 100 student(s).
Current registration and enrolment status: enrolled: 0/100, only registered: 205/100, only registered with preference (fields directly associated with the programme): 172/100

fields of study / plans the course is directly associated with

there are 10 fields of study the course is directly associated with, display

Course objectives

The aim of the course is to introduce students into both theoretical and practical aspects of software quality (quality attributes, metrics, conflicts) and supportive processes (activities contributing to building software quality along the development process), and develop critical thinking that will allow them to identify code flaws and future problems early during the software development life cycle. Students will also become familiar with code refactoring and different dimensions of software testing.

Learning outcomes

At the end of the course students will:
understand different aspects of software quality (quality attributes, metrics, conflicts) and supportive processes (activities contributing to building software quality along the development process);
be able to identify code flaws related to reliability, performance, scalability, maintainability and testability;
be able to refactor existing code to improve the discussed quality attributes;
have practical experience with different dimensions of software testing and related tools.

Syllabus

• Roadmap to software quality engineering methods.
• Software measurement and metrics, and their role in quality improvement.
• Quality in software development, Clean Code & SOLID principles.
• Bad code smells and code refactoring.
• Focus on quality attributes and conflicts between them.
• Static code analysis and code reviews.
• Requirements and test cases. From unit testing to integration testing.
• Best practices in software testing and testability. Popular testing strategies.
• Performance engineering and performance testing.
• Challenges of quality management in cloud applications.
• Continuous integration and issue tracking.
• Software quality management process.
• Quality and testing in agile.

Literature

• ROBERT.C., Martin. Clean Code: A Handbook of Agile Software Craftsmanship. New York: Prentice Hall, 2008. ISBN 978-0-13-235088-4. info
• FOWLER, Martin. Refactoring :improving the design of existing code. Boston: Addison-Wesley, 2000, xxi, 431 s. ISBN 0-201-48567-2. info
• FENTON, Norman E. and Shari Lawrence PFLEEGER. Software metrics :a rigorous and practical approach. 2nd ed. Boston: PWS Publishing, 1997, xii, 638 s. ISBN 0-534-95425-1. info
• PEZZE, M and M YOUNG. Software Testing And Analysis: Process, Principles And Techniques. Hoboken, N.J.: John Wiley & Sons Inc,, 2007, 488 pp. ISBN 978-0-471-45593-6. info

Teaching methods

Lectures, using: presentations, examples, practical self-work solution to exercises;
Seminar (computer lab) sessions involving practical work on the topics of the lectures (in the case of the company-led seminar groups, selected topics may be elaborated more deeply than others to increase the knowledge transfer from the involved experts);
Team projects within the seminars.

Assessment methods

Students will be assigned medium-size practical assignments (spanning across multiple weeks) within the seminars. The goal of the assignments will be to let the students improve the quality of the provided code by applying the techniques discussed during the course in terms of software measurement for quality improvement, refactoring and testing approaches.
Additionally, there will be a written test at the end, testing the knowledge gained by the students during the semester.
To pass the course, the students must reach at least 70 points out of 100 (45 for seminar assignments, 35 for the final written test, 10 points for activity in seminars, 10 points for activity in lectures).

Language of instruction

English

Further Comments

The course is taught annually.
The course is taught: every week.

Listed among pre-requisites of other courses

• PA200 Cloud Computing
  PA165 || PV179 || PV260  

• Enrolment Statistics (recent)
  
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