Tests and Proofs: First International Conference, TAP 2007 Zurich, Switzerland, February 12-13, 2007 Revised Papers
To prove the correctness of a program is to demonstrate, through impeccable mathematical techniques, that it has no bugs. To test a program is to run it with the expectation of discovering bugs. These two paths to software reliability seem to diverge from the very start: if you have proved your program correct, it is fruitless to comb it for bugs; and if you are testing it, that surely must be a sign that you have given up on any hope to prove its correctness. Accordingly, proofs and tests have, since the onset of software engineering research, been pursued by distinct communities using different kinds of techniques and tools. Dijkstra’s famous pronouncement that tests can only show the presence of errors — in retrospect, perhaps one of the best advertisements one can imagine for testing, as if “only” finding bugs were not already a momentous achievement! — didn’t help make testing popular with provers, or proofs attractive to testers. And yet the development of both approaches leads to the discovery of common issues and to the realization that each may need the other. The emergence of model checking was one of the first signs that apparent contradiction may yield to complementarity; in the past few years an increasing number of research efforts have encountered the need for combining proofs and tests, dropping earlier dogmatic views of incompatibility and taking instead the best of what each of these software engineering domains has to offer.
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Tests and Proofs: First International Conference, TAP 2007 Zurich, Switzerland, February 12-13, 2007 Revised Papers
To prove the correctness of a program is to demonstrate, through impeccable mathematical techniques, that it has no bugs. To test a program is to run it with the expectation of discovering bugs. These two paths to software reliability seem to diverge from the very start: if you have proved your program correct, it is fruitless to comb it for bugs; and if you are testing it, that surely must be a sign that you have given up on any hope to prove its correctness. Accordingly, proofs and tests have, since the onset of software engineering research, been pursued by distinct communities using different kinds of techniques and tools. Dijkstra’s famous pronouncement that tests can only show the presence of errors — in retrospect, perhaps one of the best advertisements one can imagine for testing, as if “only” finding bugs were not already a momentous achievement! — didn’t help make testing popular with provers, or proofs attractive to testers. And yet the development of both approaches leads to the discovery of common issues and to the realization that each may need the other. The emergence of model checking was one of the first signs that apparent contradiction may yield to complementarity; in the past few years an increasing number of research efforts have encountered the need for combining proofs and tests, dropping earlier dogmatic views of incompatibility and taking instead the best of what each of these software engineering domains has to offer.
54.99 In Stock
Tests and Proofs: First International Conference, TAP 2007 Zurich, Switzerland, February 12-13, 2007 Revised Papers

Tests and Proofs: First International Conference, TAP 2007 Zurich, Switzerland, February 12-13, 2007 Revised Papers

Tests and Proofs: First International Conference, TAP 2007 Zurich, Switzerland, February 12-13, 2007 Revised Papers

Tests and Proofs: First International Conference, TAP 2007 Zurich, Switzerland, February 12-13, 2007 Revised Papers

Paperback(2007)

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Overview

To prove the correctness of a program is to demonstrate, through impeccable mathematical techniques, that it has no bugs. To test a program is to run it with the expectation of discovering bugs. These two paths to software reliability seem to diverge from the very start: if you have proved your program correct, it is fruitless to comb it for bugs; and if you are testing it, that surely must be a sign that you have given up on any hope to prove its correctness. Accordingly, proofs and tests have, since the onset of software engineering research, been pursued by distinct communities using different kinds of techniques and tools. Dijkstra’s famous pronouncement that tests can only show the presence of errors — in retrospect, perhaps one of the best advertisements one can imagine for testing, as if “only” finding bugs were not already a momentous achievement! — didn’t help make testing popular with provers, or proofs attractive to testers. And yet the development of both approaches leads to the discovery of common issues and to the realization that each may need the other. The emergence of model checking was one of the first signs that apparent contradiction may yield to complementarity; in the past few years an increasing number of research efforts have encountered the need for combining proofs and tests, dropping earlier dogmatic views of incompatibility and taking instead the best of what each of these software engineering domains has to offer.

Product Details

ISBN-13: 9783540737698
Publisher: Springer Berlin Heidelberg
Publication date: 09/14/2007
Series: Lecture Notes in Computer Science , #4454
Edition description: 2007
Pages: 217
Product dimensions: 6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

Basic Relationships. The task of Soil Physics. General Physical Characteristics of Soils. The Solid Phase. Texture, Particle Size Distribution, and Specific Surface. Soil Structure and Aggregation. The Liquid Phase. Soil Water: Content and Potential. Flow of Water in Saturated Soil. Flow of Water in Unsaturated Soil. The Gaseous Phase. Soil Air and Aeration. Composite Properties and Behavior. Soil Temperature and Hear Flow. Soil Compaction and Consolidation. Tillage and Soil Structure Management. The Field—Water Cycle and Its Management. Infiltration and Surface Runoff. Internal Drainage and Redistribution Following Infiltration. Groundwater Drainage. Evaporation from Bare-Surface Soils. Uptake of Soil Moisture by Plants. Water Balance and Energy Balance in the Field. Bibliography. Index.
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