Course code TA02
Course title Software reliability
Institution Ecole Nationale Supérieure de Techniques Avancées
Course address ENSTA ParisTech – 32 Bd Victor, 75015 Paris
City Paris
Minimum year of study 3rd year
Minimum level of English Good
Minimum level of French None
Key words

software reliability, operational environment fault removal, measurement, trend analysis


Language English
Professor responsible Florin POPENTIU
Telephone 01 45 81 78 19
Fax 01 45 81 31 19
Email popentiu@imm.dtu.dk, Fl.Popentiu@city.ac.uk
Participating professors Florin POPENTIU, UNESCO Chair in Information Technologies, University of Oradea (Romania)/The Technical University of Denmark
Number of places Minimum: 10, Maximum: 30, Reserved for local students: 0
Objectives

Motto: “Prediction is very difficult especially of the future” ( Niels Bohr)
The objective of this course is to answer the following questions:
What is software reliability?
Why are the statistical methods necessary?
How do you measure and predict the software reliability?
A computer is a deterministic machine - why can’t we predict when it will fail next?
If software is such a problem why not build it in hardware?

There is evidence that defects have their origin in design errors. It becomes difficult or impossible to ensure that software contains no faults. The software reliability is currently a very sensitive area in telecommunications for example the introduction of new services.
The course presents opportunities in the field of prediction of software reliability and the tools allowing to characterize the accuracy and quality forecasts.
The theory is the best practice!
Various methods and techniques that we approach based on collected data: the software reliability growth models, statistical tests, among which trend tests (graphic and statistics methods). 

Programme to be followed

Day 1: Key features of software systems
Day 2: Measuring software reliability
Day 3: Models for analysis of the software reliability growth.

Day 4: Evaluation of software reliability predictions
Day 5: Accuracy and quality of forecasts; Capabilities and limitations, Unanswered Questions, Case studies.
 

Delivered documentation

Copy of slides and of attached documents presented on the Web.

 

http://www.kurser.dtu.dk/02445.aspx?menulanguage=en-gb

Course URL: http://www2.imm.dtu.dk/~popentiu/Software_Reliability.html
Prerequisites Basic knowledge in programming and statistics.
Course exam

Exam based on a mini-project programmed during the computer based sessions

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