1199--2323 November 2012November 2012 The ATHENS ProgrammeCourse catalog

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Course title

Course title:: Software Reliability Software Reliability Course code

Course code:: TA02 TA02

1 1 9 9 - - 23 23 November 2012 November 2012

Institution

Institution:: Ecole Nationale Superieure des Techniques Ecole Nationale Superieure des Techniques AvancesAvances

Course address

Course address:: ENSTA ParisTech . 32 Bd Victor, 75015 Paris ENSTA ParisTech . 32 Bd Victor, 75015 Paris CityCity: : ParisParis

The ATHENS Programme Course catalog

http://www.athensprogramme.com/catalog/show /411

Professor Florin POPENTIU VLADICESCU Professor Florin POPENTIU VLADICESCU

The The Technical University of DenmarkTechnical University of Denmark Informatics

Informatics and and Mathematical ModellingMathematical Modelling,, DTU-IMM, NATO Programme Building DTU-IMM, NATO Programme Building 305305,,

Lyngby, DK 2800,

Lyngby, DK 2800, DenmarkDenmark

Telephone: +45(0)4525 Telephone: +45(0)4525 33513351

Fax:

Fax: +45(0)4588 +45(0)4588 26732673

e-mail:

popentiu@imm.dtu.dk popentiu@imm.dtu.dk

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Objectives Objectives

Motto: “Prediction is very difficult especially of the Motto: “Prediction is very difficult especially of the future” ( Niels Bohr)

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 A computer is a deterministic machine - why can’t we predict when it will fail next?

predict when it will fail next?

If software is such a problem why not build it in hardware?

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411

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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 characterise 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).

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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.

Exercises: The students will experience teamwork. Project:

Development of a software project by teams of students (usually five of them).

Methodological References

Alternation of the exposed paper based on the course support under electronic format with the involvement of the students into debates.

The copy of transparencies on CD-ROM and the Web pages:

http://www2.imm.dtu.dk/~popentiu/Software_Reliability.html

Also the support of the course is accompanied by video illustrations and case studies with software tools.

http://scsig-2012-09-25.eventbrite.com/

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

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http://www2.imm.dtu.dk

/~popentiu/Software_Reliability.html

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http://www2.imm.dtu.dk/~popentiu/Software_Relia bility.html

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