2 edition of Problems arising in proving the correctness of a computer program found in the catalog.
Problems arising in proving the correctness of a computer program
Catherine Steele
Published
1974
by [s.n.] in Toronto
.
Written in
Edition Notes
Thesis (M.A.)--University of Toronto, 1974.
| Statement | Catherine Steele. |
| ID Numbers | |
|---|---|
| Open Library | OL14852574M |
Abstract. In I published my first paper on computer-checked proofs of program correctness. In it I proposed that soon buyers would not pay for programs until furnished with computer checked proofs that they met there specifications. Automated and interactive theorem proving are the two main directions in the field of deduction. Most chapters of this book belong to either the one or the other, whether focusing on theory, on methods or on systems. This reflects the fact that, for a long time, research in computer-aidedreasoning.
In the long term, formal techniques such as proofs of program correctness (program verification), automatic programming, and proofs of design consistency have been advocated as tools for improving computer system reliability.5 In a proof of program correctness, either a human or a computer proves mathematically that a program meets a formal. Example of Use of Mathematical Induction Program Correctness Mathematical Induction -- Second Principle Questions and Exercises The emphasis is on the applications of discrete structures in computer science rather than the mathematical theory itself. followed in solving problems, and in proving theorems throughout this course.
The book first illustrates the breadth of application of reconstruction processes in vision with results that the authors' theory and program yield for a variety of problems. The mathematics of weak continuity and the graduated nonconvexity (GNC) algorithm are then developed carefully and progressively. The Problem []. Most software programs are made because there is a problem that needs to be addressed or solved. Before a problem can be addressed, you need to clearly identify the problem or problems that need to be addressed.
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Proving a Computer Program's Correctness. This is interesting. Professor Gernot Heiser, the John Lions Chair in Computer Science in the School of Computer Science and Engineering and a senior principal researcher with NICTA, said for the first time a team had been able to prove with mathematical rigour that an operating-system kernel—the code at the heart of any computer or microprocessor.
Lecture 9: Proofs of Program Correctness Establishing Program Correctness. Today's dominant practice in the software industry (and when writing up assignments) is to prove program correctness empirically. The simplest form of this technique consists of feeding various inputs to the tested program and verifying the correctness of the output.
Correctness is defined only with respect to some specification, i.e. to some predicate in a logic that can also express the meaning of programs (or whatever part of it is relevant).
Of course, there are different ways of defining the semantics of a program. In theoretical computer science, correctness of an algorithm is asserted when it is said that the algorithm is correct with respect to a specification.
Functional correctness refers to the input-output behavior of the algorithm (i.e., for each input it produces the expected output). A distinction is made between partial correctness, which requires that if an answer is returned it will be.
axiomatic semantics for proving the correctness of small programs is introduced in the third section of this chapter. Formally proving the correctness of a small program, of course, does not address the major problem facing software designers today.
Modern software systems have millions of lines of code, representing thousands of semantic statesFile Size: KB. Proving a program correct assumes that it's being compiled by a correct compiler, or run by a correct interpreter, which almost never the case.
Things also change by what you mean by a "program". For example, in real world algorithms research, almost every time someone publishes a new algorithm, they will provide a proof of correctness.
On Automatically Proving the Correctness of mathh Implementations ‚ We present the properties of loating-point used in these proofs. Some of these properties are only well-known to loating-point experts, and others are new in the sense that they have not been stated explicitly in the literature.
Another Example: Proving your Algorithms Another completeness / correctness / termination proof Scheme: I All cases are covered: completeness I Show all possible inputs are processed by the algorithm, may be trivial I For a given (arbitrary) case, it is correctly processed: correctness I May need to cover individually all branches/cases of the algorithm I For each case, show the processing.
proving the correctness of programs. The tas!k becomes manageable by adopting an ultra-simple programming language, namely, that of deterministic whik programs. In this way, problems the presence of recursive, nondeterministic or concurrent programs are avoided (cf.
[5, 15, 22, 24,). Any proof technique must begin with a formal specification of program. Here we will briefly describe a technique for proving correctness called the axiomatic method. The Axiomatic Approach. In principle, all the properties of program can be determined statically from the text of the program, without actually executing the program.
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I was looking at posts on stackoverflow about proving correctness of different algorithms, and they all seem to be about proving algorithm X or Y. I'm computer science student and I realized that a lot of CS students (including me) are struggling with this concept, and I haven't found any post that explains general approach of proving.
Hales submitted his proof to the Annals of Mathematics, the field’s most prestigious journal, only to have the referees report four years later that they had not been able to verify the correctness of his computerthe Annals published an abridged version of Hales’ proof, based on their confidence about the written part.
According to Peter Sarnak, a mathematician at the. Programs absolutely can be proven to be correct. Lousy programs are hard to prove. To do it even reasonably well, you have to evolve the program and proof hand-in-hand.
You can't automate the proof because of the halting problem. You can, however, manually prove the post-conditions and preconditions of any arbitrary statement, or sequence of statements. Computer Science Major and Minor.
Today, the major and minor encompass the core curriculum recommended by the Association for Computing Machinery. The major is designed to provide the student with fundamental concepts and problems in computer science and to prepare her for a career and/or graduate study in computer science and related fields.
Free practice questions for Computer Science - Program Correctness. Includes full solutions and score reporting. Computer Science Help» Program Analysis» Program Correctness Example Question #1: Problems & Flashcards Classroom Assessment Tools Mobile Applications.
Proving total correctness and generating preconditions for loop programs via symbolic-numeric computation methods Article in Frontiers of Computer Science (print) 8(2) April with.
Lamport, L.: Proving Liveness Properties of Concurrent Programs. TOPLAS 4(3), Article (PDF Available) in ACM Transactions on Programming Languages and Systems 4(3) July Formal proof of correctness is not only tedious, time-consuming, and outlandishly expensive, it's also not necessarily effective.
People commit errors when attempting a formal proof. There is no fool-proof way of determining if a proof is correct or not. -- JeffGrigg. There certainly is. Computer Repair with Diagnostic Flowcharts Third Edition: Troubleshooting PC Hardware Problems from Boot Failure to Poor Performance [Rosenthal, Morris] on *FREE* shipping on qualifying offers.
Computer Repair with Diagnostic Flowcharts Third Edition: Troubleshooting PC Hardware Problems from Boot Failure to Poor PerformanceReviews:. Proving Correctness of Computer Systems Things can go terribly wrong 14 August 13 June 4 June With Verification these could have been avoided.Covers all the typical problems small business owners and computer users will encounter that they can expect to solve themselves Designed to cover all aspects of small business computing More than just a quick-fix manual for the do-it-yourselfer, this book covers all aspects of small business computing.
The Handbook of Computer Troubleshooting is a complete guide for solving the most typical Reviews: 2.COMP Introduction to Computer Science. Mathematical tools (binary numbers, induction, recurrence relations, asymptotic complexity, establishing correctness of programs), Data structures (arrays, stacks, queues, linked lists, trees, binary trees, binary search trees, heaps, hash tables), Recursive and non-recursive algorithms (searching and sorting, tree and graph traversal).
