This paradigm changes both the activity of system programming and the testing of systems: development has less to do with writing code and includes more verification tasks (detection of “high-level” errors), which are currently included in testing activities. In this sense, both activities seem to converge. However, even in this scenario, testing will be necessary to check, on the one hand, whether the developed system meets the user’s requirements (an aspect that cannot be validated by the formal method), and on the other, whether no errors were made during verifications. In addition, today we have technologies that interact more and more with others, and the integration of systems of systems is something that must also be tested. Testing would therefore also be necessary, although with significant variations.
One of the most popular terms in our field today is “cloud computing.” So UK Mobile Database popular that I think it has become a magic word, rather hollow and symptomatic of wanting to appear in tune with the latest technological developments, without really understanding them. Moreover, as a phrase that suddenly began to be heard so insistently, we assume that it is a new strategy, an idea made possible by new technological advances — and this is far from the case. In this column I seek to clarify the basic concepts and types of cloud computing, its main advantages and disadvantages, and briefly find parallels with documented cases of these “new” concepts.
Formal methods and software testing
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