5.00 credits
30.0 h + 15.0 h
Q2
Teacher(s)
Pecheur Charles;
Language
English
> French-friendly
> French-friendly
Main themes
- Software quality concepts
- Program specification and correctness
- Software testing
- Software verification and validation
- Software reviewing and audit
- Software metrics and measurement
- Software reliability
Learning outcomes
At the end of this learning unit, the student is able to : | |
1 |
Given the learning outcomes of the "Master in Computer Science and Engineering" program, this course contributes to the development, acquisition and evaluation of the following learning outcomes:
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Content
- Principles Of Software Quality
- Models Of Software
- Functional Testing
- Structural Testing
- More Testing
- Test Execution
- Program Analysis
- Finite State Analysis
- Software Reliability
- Software Measurement
Teaching methods
- Weekly lectures
- Exercise sessions
- Assignments (performed conjointly by two students)
The exercise sessions are closely related to the assignments and prepare students to perform their assignments.
Due to circumstances,all or part of the lectures and exercises may be streamed and recorded for distance learning.
Due to circumstances,all or part of the lectures and exercises may be streamed and recorded for distance learning.
Evaluation methods
The course includes assignments, counting for 40% of the grade, and an exam, counting for 60% of the grade. Assignments cannot be redone for the September session; the grade remains acquired in September.
Other information
Background:
- LINFO1104, LEPL1108 : mathematical logic
- LINFO1121 : mastery of object-oriented programming, algorithms and data structures
- LEPL1509 : participating in a small-size software project
Online resources
Bibliography
- Software Quality Engineering: Testing, Quality Assurance, and Quantifiable Improvement. Jeff Tian. 2005, Wiley-IEEE Computer Society Press.
- M. Pezzè and Michal Young, Software Testing and Analysis: Process, Principles, and Techniques, Wiley, 2008.
- J. Laski, W. Stanley. Software Verification and Analysis. Springer 2009.
- N.E. Fenton and S.L. Pfleeger. Software Metrics: A Rigorous and Practical Approach. 2nd edition, Thomson Computer Press, 1996.
Teaching materials
- Les diapositives de cours ainsi que d'autres informations pertinentes et pratiques relatives au cours seront accessibles sur Moodle.
- Lecture slides and other relevant information pertaining to the course are available on Moodle.
Faculty or entity
INFO