Course titleCourse title::        Software ReliabilitySoftware ReliabilityCourse codeCourse code::      TA02      TA02

1199--2323 November 2012November 2012

InstitutionInstitution::         Ecole Nationale Superieure des Techniques Ecole Nationale Superieure des Techniques AvancesAvances

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

The ATHENS ProgrammeCourse catalog

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

Professor Florin POPENTIU VLADICESCUProfessor Florin POPENTIU VLADICESCU

The The Technical University of DenmarkTechnical University of DenmarkInformaticsInformatics and and Mathematical ModellingMathematical Modelling,,DTU-IMM, NATO Programme Building DTU-IMM, NATO Programme Building 330505,,Lyngby, DK 2800, Lyngby, DK 2800, DenmarkDenmark

Telephone: +45(0)4525 Telephone: +45(0)4525 33513351Fax:     Fax:      +45(0)4588 +45(0)4588 26732673e-mail:e-mail:popentiu@imm.dtu.dk

ObjectivesObjectives

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: The objective of this course is to answer the following questions: What is software reliability? What is software reliability? Why are the statistical methods necessary? Why are the statistical methods necessary? How do you measure and predict the software reliability? 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? If software is such a problem why not build it in hardware?

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

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). 

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

Programme to be followedDay 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 predictionsDay 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/PrerequisitesBasic knowledge in programming and statistics. Course examExam based on a mini-project programmed during the computer based sessions

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

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

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

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

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

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

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