You need to activate javascript for this site.
Menu Conteúdo Rodapé
  1. Home
  2. Courses
  3. Computer Science and Engineering
  4. Software Quality

Software Quality

Code 14450
Year 1
Semester S1
ECTS Credits 6
Workload PL(30H)/T(30H)
Scientific area Informatics
Entry requirements Basic knowledge on software engineering, namely requirements engineering, software development methodologies, and programming.
Learning outcomes This unit aims to provide methodological concepts related with software quality. The main goals are as follows:
- to present aspects related with requirements management and its application on the software testing
- to present quality oriented processes
- to present an exhaustive practical cases, and scenarios on software quality methodologies

It is expected that students may be able to:
O1) design software processes focused with the product quality in mind
O2) understand the relevance, significance, and limitation of software testing
O3) design test cases for testing purposes without knowing the internal structure of code or program.
O4) design test cases for testing purposes bases on the internal structure of code or program.
Syllabus 1. Foundations of Software Quality Testing
2. Quality Metrics
3. Quality Scenarios
4. System Testing
5. Exploratory Testing
6. Structural and Mutation Testing
7. Automated Test Generation
8. Case Studies on Automated Test Generation
Main Bibliography Yogesh Singh. Software Testing, Cambridge University Press, 2012.
Glenford Myers, Corey Sandler, Tom Badgett. The Art of Software Testing, 3rd edition, Wiley, 2011.
Ron Patton. Software Testing, 2nd edition, Sams Pub, 2006.
Paul Ammann, Jeff Offutt. Introduction to Software Testing, Cambridge University Press, 2008.
Teaching Methodologies and Assessment Criteria 1) Frequency
F: term test
P: 5 badges (includes two group project)

Classificação = F*8/20 + P*12/20

2) Exam:
E: written exam
P: group project
Grade = E*12/20 + P*8/20

Language Portuguese. Tutorial support is available in English.
Last updated on: 2024-01-18

The cookies used in this website do not collect personal information that helps to identify you. By continuing you agree to the cookie policy.