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Content archived on 2024-06-11

Experimentation of new testing strategies

Objective

Dassault Electronique manufactures systems which are more and more elaborated. They require correction and reliability from integrated software. Bearing this in mind, testing strategy and software validation performance is a key to the success of these projects.

The better control of the testing process we expect to draw from this experiment, will help us to reduce our development lead-times and costs, to improve our control over the risk management and to reduce our maintenance costs and the operating costs for our customers.

THE EXPERIMENT

To achieve these objectives, we will evaluate the potential contribution of statistical techniques in each and every aspect of the development cycle, from the unit tests to the acceptance test. These techniques, combined with our test tools (DEVISOR and SYLVIE) and methods, are: code quality measurement (using M-Square), statistical testing and software reliability modelling (using M-élopée).

The experiment will be performed on the embedded software of electronic equipment for commercial aircraft, developed by a five-person team over a two-year period. The main idea is to set up a test team using new testing strategies in addition to the project team.

EXPECTED IMPACT AND EXPERIENCE

Besides the above objectives, the quantification of our software reliability will certainly play a great part in the motivation of the technical teams, by offering them measurable targets and the direct feedback of their work results. Furthermore, it will also give concrete elements to decision-makers.

If these techniques are demonstrated to be powerful, they will be transferred to our software development process at large.

Fields of science (EuroSciVoc)

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