Invariant based programming
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Invariant-based programmingBack, Ralph-Johan
Invariant Based Programming: Basic approach and Teaching Experience
Formal Aspects of Computing, 14 February 2008, ISSN 0934-5043 (Print) 1433-299X (Online)
is a programming methodology where Formal specification, specifications and Invariant (computer science), invariants are written before the actual program statements. Writing down the invariants during the programming process has a number of advantages: it requires the programmer to make their intentions about the program behavior explicit before actually implementing it, and invariants can be evaluated dynamically during execution to catch common programming errors. Furthermore, if strong enough, invariants can be used to prove the Formal verification, correctness of the program based on the Formal semantics of programming languages, formal semantics of program statements. A combined programming and specification language, connected to a powerful formal proof system, will generally be required for full verification of non-trivial programs. In this case a high degree of automation of proofs is also possible. In most existing programming languages the main organizing structures are control flow blocks such as For loop, for loops, While loop, while loops and If statement, if statements. Such languages may not be ideal for invariants-first programming, since they force the programmer to make decisions about control flow before writing the invariants. Furthermore, most programming languages do not have good support for writing specifications and invariants, since they lack quantifier operators and one can typically not express higher order properties. The idea of developing the program together with its proof originated from Edsger Dijkstra, E.W. Dijkstra. Actually writing invariants before program statements has been considered in a number of different forms by M.H. van Emden, John C. Reynolds, J.C. Reynolds and Ralph-Johan Back, R-J Back.


See also

* Eiffel (programming language)


Notes

Formal methods Programming paradigms