comparison src/Intro.v @ 307:d2cb78f54454

Finished 2011 pass through Intro
author Adam Chlipala <adam@chlipala.net>
date Thu, 25 Aug 2011 14:41:49 -0400
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44 \tableofcontents 44 \tableofcontents
45 45
46 \chapter{Introduction}% *) 46 \chapter{Introduction}% *)
47 47
48 48
49
50
51 (** * Whence This Book? *) 49 (** * Whence This Book? *)
52 50
53 (** 51 (**
54 52
55 We would all like to have programs check that our programs are correct. Due in no small part to some bold but unfulfilled promises in the history of computer science, today most people who write software, practitioners and academics alike, assume that the costs of formal program verification outweigh the benefits. The purpose of this book is to convince you that the technology of program verification is mature enough today that it makes sense to use it in a support role in many kinds of research projects in computer science. Beyond the convincing, I also want to provide a handbook on practical engineering of certified programs with the Coq proof assistant. Almost every subject covered is also relevant to interactive computer theorem-proving in general, such as for traditional mathematical theorems. In fact, I hope to demonstrate how verified programs are useful as building blocks in all sorts of formalizations. 53 We would all like to have programs check that our programs are correct. Due in no small part to some bold but unfulfilled promises in the history of computer science, today most people who write software, practitioners and academics alike, assume that the costs of formal program verification outweigh the benefits. The purpose of this book is to convince you that the technology of program verification is mature enough today that it makes sense to use it in a support role in many kinds of research projects in computer science. Beyond the convincing, I also want to provide a handbook on practical engineering of certified programs with the Coq proof assistant. Almost every subject covered is also relevant to interactive computer theorem-proving in general, such as for traditional mathematical theorems. In fact, I hope to demonstrate how verified programs are useful as building blocks in all sorts of formalizations.
56 54
57 Research into mechanized theorem-proving began around the 1970's, and some of the earliest practical work involved Nqthm%~\cite{Nqthm}\index{Nqthm}%, the %``%#"#Boyer-Moore Theorem Prover,#"#%''% which was used to prove such theorems as correctness of a complete hardware and software stack%~\cite{Piton}%. ACL2%~\cite{CAR}\index{ACL2}%, Nqthm's successor, has seen significant industry adoption, for instance, by AMD to verify correctness of floating-point division units%~\cite{AMD}%. 55 Research into mechanized theorem proving began around the 1970's, and some of the earliest practical work involved Nqthm%~\cite{Nqthm}\index{Nqthm}%, the %``%#"#Boyer-Moore Theorem Prover,#"#%''% which was used to prove such theorems as correctness of a complete hardware and software stack%~\cite{Piton}%. ACL2%~\cite{CAR}\index{ACL2}%, Nqthm's successor, has seen significant industry adoption, for instance, by AMD to verify correctness of floating-point division units%~\cite{AMD}%.
58 56
59 Around the beginning of the 21st century, the pace of progress in practical applications of interactive theorem-proving accelerated significantly. Several well-known formal developments have been carried out in Coq, the system that this book deals with. In the realm of pure mathematics, Georges Gonthier built a machine-checked proof of the four color theorem%~\cite{4C}%, a mathematical problem first posed more than a hundred years before, where the only previous proofs had required trusting ad-hoc software to do brute-force checking of key facts. In the realm of program verification, Xavier Leroy led the CompCert project to produce a verified C compiler back-end%~\cite{CompCert}% robust enough to use with real embedded software. 57 Around the beginning of the 21st century, the pace of progress in practical applications of interactive theorem proving accelerated significantly. Several well-known formal developments have been carried out in Coq, the system that this book deals with. In the realm of pure mathematics, Georges Gonthier built a machine-checked proof of the four color theorem%~\cite{4C}%, a mathematical problem first posed more than a hundred years before, where the only previous proofs had required trusting ad-hoc software to do brute-force checking of key facts. In the realm of program verification, Xavier Leroy led the CompCert project to produce a verified C compiler back-end%~\cite{CompCert}% robust enough to use with real embedded software.
60 58
61 Many other recent projects have attracted attention by proving important theorems using computer proof assistant software. For instance, the L4.verified project%~\cite{seL4}% has given a mechanized proof of correctness for a realistic microkernel, using the Isabelle/HOL proof assistant%~\cite{Isabelle/HOL}\index{Isabelle/HOL}%. The amount of ongoing work in the area is so large that I cannot hope to list all the recent successes, so from this point I will assume that the reader is convinced both that we ought to want machine-checked proofs and that they seem to be feasible to produce. (To readers not yet convinced, I suggest a Web search for %``%#"#machine-checked proof#"#%''%!) 59 Many other recent projects have attracted attention by proving important theorems using computer proof assistant software. For instance, the L4.verified project%~\cite{seL4}% has given a mechanized proof of correctness for a realistic microkernel, using the Isabelle/HOL proof assistant%~\cite{Isabelle/HOL}\index{Isabelle/HOL}%. The amount of ongoing work in the area is so large that I cannot hope to list all the recent successes, so from this point I will assume that the reader is convinced both that we ought to want machine-checked proofs and that they seem to be feasible to produce. (To readers not yet convinced, I suggest a Web search for %``%#"#machine-checked proof#"#%''%!)
62 60
63 There are a good number of (though definitely not %``%#"#many#"#%''%) tools that are in wide use today for building machine-checked mathematical proofs and machine-certified programs. The following is my attempt at an exhaustive list of interactive %``%#"#proof assistants#"#%''% satisfying a few criteria. First, the authors of each tool must intend for it to be put to use for software-related applications. Second, there must have been enough engineering effort put into the tool that someone not doing research on the tool itself would feel his time was well spent using it. A third criterion is more of an empirical validation of the second: the tool must have a significant user community outside of its own development team. 61 There are a good number of (though definitely not %``%#"#many#"#%''%) tools that are in wide use today for building machine-checked mathematical proofs and machine-certified programs. The following is my attempt at an exhaustive list of interactive %``%#"#proof assistants#"#%''% satisfying a few criteria. First, the authors of each tool must intend for it to be put to use for software-related applications. Second, there must have been enough engineering effort put into the tool that someone not doing research on the tool itself would feel his time was well spent using it. A third criterion is more of an empirical validation of the second: the tool must have a significant user community outside of its own development team.
64 62
98 96
99 97
100 (** ** Based on a Higher-Order Functional Programming Language *) 98 (** ** Based on a Higher-Order Functional Programming Language *)
101 99
102 (** 100 (**
103 There is no reason to give up the familiar comforts of functional programming when you start writing certified programs. All of the tools I listed are based on functional programming languages, which means you can use them without their proof-related aspects to write and run regular programs. 101 %\index{higher-order vs. first-order languages}%There is no reason to give up the familiar comforts of functional programming when you start writing certified programs. All of the tools I listed are based on functional programming languages, which means you can use them without their proof-related aspects to write and run regular programs.
104 102
105 ACL2 is notable in this field for having only a %\textit{%#<i>#first-order#</i>#%}% language at its foundation. That is, you cannot work with functions over functions and all those other treats of functional programming. By giving up this facility, ACL2 can make broader assumptions about how well its proof automation will work, but we can generally recover the same advantages in other proof assistants when we happen to be programming in first-order fragments. 103 %\index{ACL2}%ACL2 is notable in this field for having only a %\textit{%#<i>#first-order#</i>#%}% language at its foundation. That is, you cannot work with functions over functions and all those other treats of functional programming. By giving up this facility, ACL2 can make broader assumptions about how well its proof automation will work, but we can generally recover the same advantages in other proof assistants when we happen to be programming in first-order fragments.
106 *) 104 *)
107 105
108 106
109 (** ** Dependent Types *) 107 (** ** Dependent Types *)
110 108
111 (** 109 (**
112 A language of %\textit{%#<i>#dependent types#</i>#%}% may include references to programs inside of types. For instance, the type of an array might include a program expression giving the size of the array, making it possible to verify absence of out-of-bounds accesses statically. Dependent types can go even further than this, effectively capturing any correctness property in a type. For instance, later in this book, we will see how to give a Mini-ML compiler a type that guarantees that it maps well-typed source programs to well-typed target programs. 110 A language with %\textit{%#<i>#dependent types#</i>#%}% may include references to programs inside of types. For instance, the type of an array might include a program expression giving the size of the array, making it possible to verify absence of out-of-bounds accesses statically. Dependent types can go even further than this, effectively capturing any correctness property in a type. For instance, later in this book, we will see how to give a Mini-ML compiler a type that guarantees that it maps well-typed source programs to well-typed target programs.
113 111
114 ACL2 and HOL lack dependent types outright. PVS and Twelf each supports a different strict subset of Coq's dependent type language. Twelf's type language is restricted to a bare-bones, monomorphic lambda calculus, which places serious restrictions on how complicated %\textit{%#<i>#computations inside types#</i>#%}% can be. This restriction is important for the soundness argument behind Twelf's approach to representing and checking proofs. 112 %\index{ACL2}%ACL2 and %\index{HOL}%HOL lack dependent types outright. %\index{PVS}%PVS and %\index{Twelf}%Twelf each supports a different strict subset of Coq's dependent type language. Twelf's type language is restricted to a bare-bones, monomorphic lambda calculus, which places serious restrictions on how complicated %\textit{%#<i>#computations inside types#</i>#%}% can be. This restriction is important for the soundness argument behind Twelf's approach to representing and checking proofs.
115 113
116 In contrast, PVS's dependent types are much more general, but they are squeezed inside the single mechanism of %\textit{%#<i>#subset types#</i>#%}%, where a normal type is refined by attaching a predicate over its elements. Each member of the subset type is an element of the base type that satisfies the predicate. Chapter 6 of this book introduces that style of programming in Coq, while the remaining chapters of Part II deal with features of dependent typing in Coq that go beyond what PVS supports. 114 In contrast, %\index{PVS}%PVS's dependent types are much more general, but they are squeezed inside the single mechanism of %\textit{%#<i>#subset types#</i>#%}%, where a normal type is refined by attaching a predicate over its elements. Each member of the subset type is an element of the base type that satisfies the predicate. Chapter 6 of this book introduces that style of programming in Coq, while the remaining chapters of Part II deal with features of dependent typing in Coq that go beyond what PVS supports.
117 115
118 Dependent types are not just useful because they help you express correctness properties in types. Dependent types also often let you write certified programs %\textit{%#<i>#without writing anything that looks like a proof#</i>#%}%. Even with subset types, which for many contexts can be used to express any relevant property with enough acrobatics, the human driving the proof assistant usually has to build some proofs explicitly. Writing formal proofs is hard, so we want to avoid it as far as possible, so dependent types are invaluable. 116 Dependent types are not just useful because they help you express correctness properties in types. Dependent types also often let you write certified programs %\textit{%#<i>#without writing anything that looks like a proof#</i>#%}%. Even with subset types, which for many contexts can be used to express any relevant property with enough acrobatics, the human driving the proof assistant usually has to build some proofs explicitly. Writing formal proofs is hard, so we want to avoid it as far as possible, so dependent types are invaluable.
119 117
120 *) 118 *)
121 119
122 (** ** An Easy-to-Check Kernel Proof Language *) 120 (** ** An Easy-to-Check Kernel Proof Language *)
123 121
124 (** 122 (**
125 Scores of automated decision procedures are useful in practical theorem proving, but it is unfortunate to have to trust in the correct implementation of each procedure. Proof assistants satisfy the %``%#"#de Bruijn criterion#"#%''% when they produce %\textit{%#<i>#proof terms#</i>#%}% in small kernel languages, even when they use complicated and extensible procedures to seek out proofs in the first place. These core languages have feature complexity on par with what you find in proposals for formal foundations for mathematics. To believe a proof, we can ignore the possibility of bugs during %\textit{%#<i>#search#</i>#%}% and just rely on a (relatively small) proof-checking kernel that we apply to the %\textit{%#<i>#result#</i>#%}% of the search. 123 %\index{de Bruijn criterion}%Scores of automated decision procedures are useful in practical theorem proving, but it is unfortunate to have to trust in the correct implementation of each procedure. Proof assistants satisfy the %``%#"#de Bruijn criterion#"#%''% when they produce %\textit{%#<i>#proof terms#</i>#%}% in small kernel languages, even when they use complicated and extensible procedures to seek out proofs in the first place. These core languages have feature complexity on par with what you find in proposals for formal foundations for mathematics (e.g., ZF set theory). To believe a proof, we can ignore the possibility of bugs during %\textit{%#<i>#search#</i>#%}% and just rely on a (relatively small) proof-checking kernel that we apply to the %\textit{%#<i>#result#</i>#%}% of the search.
126 124
127 Coq meets the de Bruijn criterion, while ACL2 and PVS do not, as they employ fancy decision procedures that produce no %``%#"#evidence trails#"#%''% justifying their results. 125 Coq meets the de Bruijn criterion, while %\index{ACL2}%ACL2 and %\index{PVS}%PVS do not, as they employ fancy decision procedures that produce no %``%#"#evidence trails#"#%''% justifying their results.
128 *) 126 *)
129 127
130 (** ** Convenient Programmable Proof Automation *) 128 (** ** Convenient Programmable Proof Automation *)
131 129
132 (** 130 (**
133 A commitment to a kernel proof language opens up wide possibilities for user extension of proof automation systems, without allowing user mistakes to trick the overall system into accepting invalid proofs. Almost any interesting verification problem is undecidable, so it is important to help users build their own procedures for solving the restricted problems that they encounter in particular implementations. 131 A commitment to a kernel proof language opens up wide possibilities for user extension of proof automation systems, without allowing user mistakes to trick the overall system into accepting invalid proofs. Almost any interesting verification problem is undecidable, so it is important to help users build their own procedures for solving the restricted problems that they encounter in particular theorems.
134 132
135 Twelf features no proof automation marked as a bonafide part of the latest release; there is some automation code included for testing purposes. The Twelf style is based on writing out all proofs in full detail. Because Twelf is specialized to the domain of syntactic metatheory proofs about programming languages and logics, it is feasible to use it to write those kinds of proofs manually. Outside that domain, the lack of automation can be a serious obstacle to productivity. Most kinds of program verification fall outside Twelf's forte. 133 %\index{Twelf}%Twelf features no proof automation marked as a bonafide part of the latest release; there is some automation code included for testing purposes. The Twelf style is based on writing out all proofs in full detail. Because Twelf is specialized to the domain of syntactic metatheory proofs about programming languages and logics, it is feasible to use it to write those kinds of proofs manually. Outside that domain, the lack of automation can be a serious obstacle to productivity. Most kinds of program verification fall outside Twelf's forte.
136 134
137 Of the remaining tools, all can support user extension with new decision procedures by hacking directly in the tool's implementation language (such as OCaml for Coq). Since ACL2 and PVS do not satisfy the de Bruijn criterion, overall correctness is at the mercy of the authors of new procedures. 135 Of the remaining tools, all can support user extension with new decision procedures by hacking directly in the tool's implementation language (such as OCaml for Coq). Since %\index{ACL2}%ACL2 and %\index{PVS}%PVS do not satisfy the de Bruijn criterion, overall correctness is at the mercy of the authors of new procedures.
138 136
139 Isabelle/HOL and Coq both support coding new proof manipulations in ML in ways that cannot lead to the acceptance of invalid proofs. Additionally, Coq includes a domain-specific language for coding decision procedures in normal Coq source code, with no need to break out into ML. This language is called Ltac, and I think of it as the unsung hero of the proof assistant world. Not only does Ltac prevent you from making fatal mistakes, it also includes a number of novel programming constructs which combine to make a %``%#"#proof by decision procedure#"#%''% style very pleasant. We will meet these features in the chapters to come. 137 %\index{Isabelle/HOL}%Isabelle/HOL and Coq both support coding new proof manipulations in ML in ways that cannot lead to the acceptance of invalid proofs. Additionally, Coq includes a domain-specific language for coding decision procedures in normal Coq source code, with no need to break out into ML. This language is called %\index{Ltac}%Ltac, and I think of it as the unsung hero of the proof assistant world. Not only does Ltac prevent you from making fatal mistakes, it also includes a number of novel programming constructs which combine to make a %``%#"#proof by decision procedure#"#%''% style very pleasant. We will meet these features in the chapters to come.
140 *) 138 *)
141 139
142 (** ** Proof by Reflection *) 140 (** ** Proof by Reflection *)
143 141
144 (** 142 (**
145 A surprising wealth of benefits follow from choosing a proof language that integrates a rich notion of computation. Coq includes programs and proof terms in the same syntactic class. This makes it easy to write programs that compute proofs. With rich enough dependent types, such programs are %\textit{%#<i>#certified decision procedures#</i>#%}%. In such cases, these certified procedures can be put to good use %\textit{%#<i>#without ever running them#</i>#%}%! Their types guarantee that, if we did bother to run them, we would receive proper %``%#"#ground#"#%''% proofs. 143 %\index{reflection}\index{proof by reflection}%A surprising wealth of benefits follow from choosing a proof language that integrates a rich notion of computation. Coq includes programs and proof terms in the same syntactic class. This makes it easy to write programs that compute proofs. With rich enough dependent types, such programs are %\textit{%#<i>#certified decision procedures#</i>#%}%. In such cases, these certified procedures can be put to good use %\textit{%#<i>#without ever running them#</i>#%}%! Their types guarantee that, if we did bother to run them, we would receive proper %``%#"#ground#"#%''% proofs.
146 144
147 The critical ingredient for this technique, many of whose instances are referred to as %\textit{%#<i>#proof by reflection#</i>#%}%, is a way of inducing non-trivial computation inside of logical propositions during proof checking. Further, most of these instances require dependent types to make it possible to state the appropriate theorems. Of the proof assistants I listed, only Coq really provides this support. 145 The critical ingredient for this technique, many of whose instances are referred to as %\textit{%#<i>#proof by reflection#</i>#%}%, is a way of inducing non-trivial computation inside of logical propositions during proof checking. Further, most of these instances require dependent types to make it possible to state the appropriate theorems. Of the proof assistants I listed, only Coq really provides this support.
148 *) 146 *)
149 147
150 148
151 (** * Why Not a Different Dependently Typed Language? *) 149 (** * Why Not a Different Dependently Typed Language? *)
152 150
153 (** 151 (**
154 The logic and programming language behind Coq belongs to a type-theory ecosystem with a good number of other thriving members. %Agda\footnote{\url{http://appserv.cs.chalmers.se/users/ulfn/wiki/agda.php}}%#<a href="http://appserv.cs.chalmers.se/users/ulfn/wiki/agda.php">Agda</a># and %Epigram\footnote{\url{http://www.e-pig.org/}}%#<a href="http://www.e-pig.org/">Epigram</a># are the most developed tools among the alternatives to Coq, and there are others that are earlier in their lifecycles. All of the languages in this family feel sort of like different historical offshoots of Latin. The hardest conceptual epiphanies are, for the most part, portable among all the languages. Given this, why choose Coq for certified programming? 152 The logic and programming language behind Coq belongs to a type-theory ecosystem with a good number of other thriving members. %\index{Agda}Agda\footnote{\url{http://appserv.cs.chalmers.se/users/ulfn/wiki/agda.php}}%#<a href="http://appserv.cs.chalmers.se/users/ulfn/wiki/agda.php">Agda</a># and %\index{Epigram}Epigram\footnote{\url{http://www.e-pig.org/}}%#<a href="http://www.e-pig.org/">Epigram</a># are the most developed tools among the alternatives to Coq, and there are others that are earlier in their lifecycles. All of the languages in this family feel sort of like different historical offshoots of Latin. The hardest conceptual epiphanies are, for the most part, portable among all the languages. Given this, why choose Coq for certified programming?
155 153
156 I think the answer is simple. None of the competition has well-developed systems for tactic-based theorem proving. Agda and Epigram are designed and marketed more as programming languages than proof assistants. Dependent types are great, because they often help you prove deep theorems without doing anything that feels like proving. Nonetheless, almost any interesting certified programming project will benefit from some activity that deserves to be called proving, and many interesting projects absolutely require semi-automated proving, to protect the sanity of the programmer. Informally, proving is unavoidable when any correctness proof for a program has a structure that does not mirror the structure of the program itself. An example is a compiler correctness proof, which probably proceeds by induction on program execution traces, which have no simple relationship with the structure of the compiler or the structure of the programs it compiles. In building such proofs, a mature system for scripted proof automation is invaluable. 154 I think the answer is simple. None of the competition has well-developed systems for tactic-based theorem proving. Agda and Epigram are designed and marketed more as programming languages than proof assistants. Dependent types are great, because they often help you prove deep theorems without doing anything that feels like proving. Nonetheless, almost any interesting certified programming project will benefit from some activity that deserves to be called proving, and many interesting projects absolutely require semi-automated proving, to protect the sanity of the programmer. Informally, proving is unavoidable when any correctness proof for a program has a structure that does not mirror the structure of the program itself. An example is a compiler correctness proof, which probably proceeds by induction on program execution traces, which have no simple relationship with the structure of the compiler or the structure of the programs it compiles. In building such proofs, a mature system for scripted proof automation is invaluable.
157 155
158 On the other hand, Agda, Epigram, and similar tools have less implementation baggage associated with them, and so they tend to be the default first homes of innovations in practical type theory. Some significant kinds of dependently typed programs are much easier to write in Agda and Epigram than in Coq. The former tools may very well be superior choices for projects that do not involve any %``%#"#proving.#"#%''% Anecdotally, I have gotten the impression that manual proving is orders of magnitudes more costly than manual coping with Coq's lack of programming bells and whistles. In this book, I will devote significant time to patterns for programming with dependent types in Coq as it is today. We can hope that the type theory community is tending towards convergence on the right set of features for practical programming with dependent types, and that we will eventually have a single tool embodying those features. 156 On the other hand, Agda, Epigram, and similar tools have less implementation baggage associated with them, and so they tend to be the default first homes of innovations in practical type theory. Some significant kinds of dependently typed programs are much easier to write in Agda and Epigram than in Coq. The former tools may very well be superior choices for projects that do not involve any %``%#"#proving.#"#%''% Anecdotally, I have gotten the impression that manual proving is orders of magnitudes more costly than manual coping with Coq's lack of programming bells and whistles. In this book, I will devote significant space to patterns for programming with dependent types in Coq as it is today. We can hope that the type theory community is tending towards convergence on the right set of features for practical programming with dependent types, and that we will eventually have a single tool embodying those features.
159 *) 157 *)
160 158
161 159
162 (** * Engineering with a Proof Assistant *) 160 (** * Engineering with a Proof Assistant *)
163 161
164 (** 162 (**
165 In comparisons with its competitors, Coq is often derided for promoting unreadable proofs. It is very easy to write proof scripts that manipulate proof goals imperatively, with no structure to aid readers. Such developments are nightmares to maintain, and they certainly do not manage to convey %``%#"#why the theorem is true#"#%''% to anyone but the original author. One additional (and not insignificant) purpose of this book is to show why it is unfair and unproductive to dismiss Coq based on the existence of such developments. 163 In comparisons with its competitors, Coq is often derided for promoting unreadable proofs. It is very easy to write proof scripts that manipulate proof goals imperatively, with no structure to aid readers. Such developments are nightmares to maintain, and they certainly do not manage to convey %``%#"#why the theorem is true#"#%''% to anyone but the original author. One additional (and not insignificant) purpose of this book is to show why it is unfair and unproductive to dismiss Coq based on the existence of such developments.
166 164
167 I will go out on a limb and guess that the reader is a dedicated fan of some functional programming language or another, and that he may even have been involved in teaching that language to undergraduates. I want to propose an analogy between two attitudes: coming to a negative conclusion about Coq after reading common Coq developments in the wild, and coming to a negative conclusion about Your Favorite Language after looking at the programs undergraduates write in it in the first week of class. The pragmatics of mechanized proving and program verification have been under serious study for much less time than the pragmatics of programming have been. The computer theorem proving community is still developing the key insights that correspond to those that functional programming texts and instructors impart to their students, to help those students get over that critical hump where using the language stops being more trouble than it is worth. Most of the insights for Coq are barely even disseminated among the experts, let alone set down in a tutorial form. I hope to use this book to go a long way towards remedying that. 165 I will go out on a limb and guess that the reader is a fan of some programming language, and that he may even have been involved in teaching that language to undergraduates. I want to propose an analogy between two attitudes: coming to a negative conclusion about Coq after reading common Coq developments in the wild, and coming to a negative conclusion about Your Favorite Language after looking at the programs undergraduates write in it in the first week of class. The pragmatics of mechanized proving and program verification have been under serious study for much less time than the pragmatics of programming have been. The computer theorem proving community is still developing the key insights that correspond to those that programming texts and instructors impart to their students, to help those students get over that critical hump where using the language stops being more trouble than it is worth. Most of the insights for Coq are barely even disseminated among the experts, let alone set down in a tutorial form. I hope to use this book to go a long way towards remedying that.
168 166
169 If I do that job well, then this book should be of interest even to people who have participated in classes or tutorials specifically about Coq. The book should even be useful to people who have been using Coq for years but who are mystified when their Coq developments prove impenetrable by colleagues. The crucial angle in this book is that there are %``%#"#design patterns#"#%''% for reliably avoiding the really grungy parts of theorem proving, and consistent use of these patterns can get you over the hump to the point where it is worth your while to use Coq to prove your theorems and certify your programs, even if formal verification is not your main concern in a project. We will follow this theme by pursuing two main methods for replacing manual proofs with more understandable artifacts: dependently typed functions and custom Ltac decision procedures. 167 If I do that job well, then this book should be of interest even to people who have participated in classes or tutorials specifically about Coq. The book should even be useful to people who have been using Coq for years but who are mystified when their Coq developments prove impenetrable by colleagues. The crucial angle in this book is that there are %``%#"#design patterns#"#%''% for reliably avoiding the really grungy parts of theorem proving, and consistent use of these patterns can get you over the hump to the point where it is worth your while to use Coq to prove your theorems and certify your programs, even if formal verification is not your main concern in a project. We will follow this theme by pursuing two main methods for replacing manual proofs with more understandable artifacts: dependently typed functions and custom Ltac decision procedures.
170 *) 168 *)
171 169
172 170
173 (** * Prerequisites *) 171 (** * Prerequisites *)
174 172
175 (** 173 (**
176 I try to keep the required background knowledge to a minimum in this book. I will assume familiarity with the material from usual discrete math and logic courses taken by all undergraduate computer science majors, and I will assume that readers have significant experience programming in one of the ML dialects, in Haskell, or in some other, closely related language. Experience with only dynamically typed functional languages might lead to befuddlement in some places, but a reader who has come to understand Scheme deeply will probably be fine. 174 I try to keep the required background knowledge to a minimum in this book. I will assume familiarity with the material from usual discrete math and logic courses taken by undergraduate computer science majors, and I will assume that readers have significant experience programming in one of the ML dialects, in Haskell, or in some other, closely related language. Experience with only dynamically typed functional languages might lead to befuddlement in some places, but a reader who has come to understand Scheme deeply will probably be fine.
177 175
178 Part IV of this manuscript is about formalizing programming languages and compilers. That part certainly depends on basic knowledge of formal type systems, operational semantics, and the theorems usually proved about such systems. As a reference on these topics, I recommend %\emph{%#<i>#Types and Programming Languages#</i>#%}~\cite{TAPL}%, by Benjamin C. Pierce. However, my current plan is to break Part IV into a separate, online-only document, since I expect the formalization interests of many readers of the book to lie outside of programming languages. I do often use examples from programming languages in the earlier parts of the book, but I have tried to design them to be comprehensible on the basis of ML or Haskell experience alone. 176 Part IV of this manuscript is about formalizing programming languages and compilers. That part certainly depends on basic knowledge of formal type systems, operational semantics, and the theorems usually proved about such systems. As a reference on these topics, I recommend %\emph{%#<i>#Types and Programming Languages#</i>#%}~\cite{TAPL}%, by Benjamin C. Pierce. However, my current plan is to break Part IV into a separate, online-only document, since I expect the formalization interests of many readers of the book to lie outside of programming languages. I do often use examples from programming languages in the earlier parts of the book, but I have tried to design them to be comprehensible on the basis of ML or Haskell experience alone.
179 *) 177 *)
180 178
181 179
191 189
192 There, you can find all of the code appearing in this book, with prose interspersed in comments, in exactly the order that you find in this document. You can step through the code interactively with your chosen graphical Coq interface. The code also has special comments indicating which parts of the chapters make suitable starting points for interactive class sessions, where the class works together to construct the programs and proofs. The included Makefile has a target %\texttt{%#<tt>#templates#</tt>#%}% for building a fresh set of class template files automatically from the book source. 190 There, you can find all of the code appearing in this book, with prose interspersed in comments, in exactly the order that you find in this document. You can step through the code interactively with your chosen graphical Coq interface. The code also has special comments indicating which parts of the chapters make suitable starting points for interactive class sessions, where the class works together to construct the programs and proofs. The included Makefile has a target %\texttt{%#<tt>#templates#</tt>#%}% for building a fresh set of class template files automatically from the book source.
193 191
194 A traditional printed version of the book is slated to appear from MIT Press in the future. The online versions will remain available at no cost even after the printed book is released, and I intend to keep the source code up-to-date with bug fixes and compatibility changes to track new Coq releases. 192 A traditional printed version of the book is slated to appear from MIT Press in the future. The online versions will remain available at no cost even after the printed book is released, and I intend to keep the source code up-to-date with bug fixes and compatibility changes to track new Coq releases.
195 193
196 I believe that a good graphical interface to Coq is crucial for using it productively. I use the %Proof General\footnote{\url{http://proofgeneral.inf.ed.ac.uk/}}%#<a href="http://proofgeneral.inf.ed.ac.uk/">Proof General</a># mode for Emacs, which supports a number of other proof assistants besides Coq. There is also the standalone CoqIDE program developed by the Coq team. I like being able to combine certified programming and proving with other kinds of work inside the same full-featured editor, and CoqIDE has had a good number of crashes and other annoying bugs in recent history, though I hear that it is improving. In the initial part of this book, I will reference Proof General procedures explicitly, in introducing how to use Coq, but most of the book will be interface-agnostic, so feel free to use CoqIDE if you prefer it. The one issue with CoqIDE, regarding running through the book source, is that I will sometimes begin a proof attempt but cancel it with the Coq [Abort] or #<span class="inlinecode"><span class="id" type="keyword">#%\coqdockw{%Restart%}%#</span></span># commands, which CoqIDE does not support. It would be bad form to leave such commands lying around in a real, finished development, but I find these commands helpful in writing single source files that trace a user's thought process in designing a proof. 194 %\index{graphical interfaces to Coq}%I believe that a good graphical interface to Coq is crucial for using it productively. I use the %\index{Proof General}Proof General\footnote{\url{http://proofgeneral.inf.ed.ac.uk/}}%#<a href="http://proofgeneral.inf.ed.ac.uk/">Proof General</a># mode for Emacs, which supports a number of other proof assistants besides Coq. There is also the standalone %\index{CoqIDE}%CoqIDE program developed by the Coq team. I like being able to combine certified programming and proving with other kinds of work inside the same full-featured editor, and CoqIDE has had a good number of crashes and other annoying bugs in recent history, though I hear that it is improving. In the initial part of this book, I will reference Proof General procedures explicitly, in introducing how to use Coq, but most of the book will be interface-agnostic, so feel free to use CoqIDE if you prefer it. The one issue with CoqIDE, regarding running through the book source, is that I will sometimes begin a proof attempt but cancel it with the Coq [Abort] or #<span class="inlinecode"><span class="id" type="keyword">#%\coqdockw{%Restart%}%#</span></span># commands, which CoqIDE does not support. It would be bad form to leave such commands lying around in a real, finished development, but I find these commands helpful in writing single source files that trace a user's thought process in designing a proof.
197 195 *)
198 The next chapter will introduce Coq with some simple examples, and the chapter starts with step-by-step instructions on getting set up to run the book chapters interactively, assuming that you have Coq and Proof General installed. 196
199 *) 197 (** ** Reading This Book *)
200 198
199 (**
200 For experts in functional programming or formal methods, learning to use Coq is not hard, in a sense. The Coq manual%~\cite{CoqManual}% and the textbook by Bertot and Cast%\'%eran%~\cite{CoqArt}% have helped many people become productive Coq users. However, I believe that the best ways to manage significant Coq developments are far from settled. In this book, I mean to propose my own techniques, and, rather than treating them as advanced material for a final chapter or two, I employ them from the very beginning. After a first chapter showing off what can be done with dependent types, I retreat into simpler programming styles for the first part of the book. The other main thrust of the book, Ltac proof automation, I adopt more or less from the very start of the technical exposition.
201
202 Some readers have suggested that I give multiple recommended reading orders in this introduction, targeted at people with different levels of Coq expertise. It is certainly true that Part I of the book devotes significant space to basic concepts that most Coq users already know quite well. However, as I am introducing these concepts, I am also developing my preferred automated proof style, so I think even the chapters on basics are worth reading for experienced Coq hackers.
203
204 Readers with no prior Coq experience can ignore the preceding discussion! I hope that my heavy reliance on proof automation early on will seem like the most natural way to go, such that you may wonder why others are spending so much time entering sequences of proof steps manually.
205
206 Coq is a very complex system, with many different commands driven more by pragmatic concerns than by any overarching aesthetic principle. When I use some construct for the first time, I try to give a one-sentence intuition for what it accomplishes, but I leave the details to the Coq reference manual%~\cite{CoqManual}%. I expect that readers interested in complete understandings will be consulting that manual frequently; in that sense, this book is not meant to be completely standalone.
207 *)
208
209 (** ** On the Tactic Library *)
210
211 (**
212 To make it possible to start from fancy proof automation, rather than working up to it, I have included with the book source a library of %\emph{%#<i>#tactics#</i>#%}%, or programs that find proofs, since the built-in Coq tactics do not support a high enough level of automation. I use these tactics even from the first chapter with code examples.
213
214 Some readers have asked about the pragmatics of using this tactic library in their own developments. My position there is that this tactic library was designed with the specific examples of the book in mind; I do not recommend using it in other settings. Part III should impart the necessary skills to reimplement these tactics and beyond. One generally deals with undecidable problems in interactive theorem proving, so there can be no tactic that solves all goals, though the %\index{Tactics!crush@\texttt{crush}}%[crush] tactic that we will meet soon may sometimes feel like that! There are still very useful tricks found in the implementations of [crush] and its cousins, so it may be useful to examine the commented source file %\texttt{%#<tt>#Tactics.v#</tt>.#%}.~\footnote{It's not actually commented yet. \texttt{;-)}}% I implement a new tactic library for each new project, since each project involves a different mix of undecidable theories where a different set of heuristics turns out to work well; and that is what I recommend others do, too.
215 *)
216
217 (** ** Installation and Emacs Set-Up *)
218
219 (**
220 At the start of the next chapter, I assume that you have installed Coq and Proof General. The code in this book is tested with Coq version 8.3pl2, though parts may work with other versions.
221
222 %\index{Proof General|(}%To set up your Proof General environment to process the source to this chapter, a few simple steps are required.
223
224 %\begin{enumerate}%#<ol>#
225
226 %\item %#<li>#Get the book source from
227 %\begin{center}\url{http://adam.chlipala.net/cpdt/cpdt.tgz}\end{center}%#<blockquote><tt><a href="http://adam.chlipala.net/cpdt/cpdt.tgz">http://adam.chlipala.net/cpdt/cpdt.tgz</a></tt></blockquote></li>#
228
229 %\item %#<li>#Unpack the tarball to some directory %\texttt{%#<tt>#DIR#</tt>#%}%.#</li>#
230
231 %\item %#<li>#Run %\texttt{%#<tt>#make#</tt>#%}% in %\texttt{%#<tt>#DIR#</tt>#%}%.#</li>#
232
233 %\item %#<li>#There are some minor headaches associated with getting Proof General to pass the proper command line arguments to the %\texttt{%#<tt>#coqtop#</tt>#%}% program, which provides the interactive Coq toplevel. The best way to add settings that will be shared by many source files is to add a custom variable setting to your %\index{.emacs file@\texttt{.emacs} file}\texttt{%#<tt>#.emacs#</tt>#%}% file, like this:
234 %\begin{verbatim}%#<pre>#(custom-set-variables
235 ...
236 '(coq-prog-args '("-I" "DIR/src"))
237 ...
238 )#</pre>#%\end{verbatim}%
239 The extra arguments demonstrated here are the proper choices for working with the code for this book. The ellipses stand for other Emacs customization settings you may already have. It can be helpful to save several alternate sets of flags in your %\texttt{%#<tt>#.emacs#</tt>#%}% file, with all but one commented out within the %\texttt{%#<tt>#custom-set-variables#</tt>#%}% block at any given time.#</li>#
240
241 #</ol>#%\end{enumerate}%
242
243 Every chapter of this book is generated from a commented Coq source file. You can load these files and run through them step-by-step in Proof General. Be sure to run the Coq binary %\texttt{%#<tt>#coqtop#</tt>#%}% with the command-line argument %\texttt{%#<tt>#-I DIR/src#</tt>#%}%. If you have installed Proof General properly, the Coq mode should start automatically when you visit a %\texttt{%#<tt>#.v#</tt>#%}% buffer in Emacs, and the above advice on %\texttt{%#<tt>#.emacs#</tt>#%}% settings should ensure that the proper arguments are passed to %\texttt{%#<tt>#coqtop#</tt>#%}% by Emacs.
244
245 With Proof General, the portion of a buffer that Coq has processed is highlighted in some way, like being given a blue background. You step through Coq source files by positioning the point at the position you want Coq to run to and pressing C-C C-RET. This can be used both for normal step-by-step coding, by placing the point inside some command past the end of the highlighted region; and for undoing, by placing the point inside the highlighted region.
246 %\index{Proof General|)}% *)
201 247
202 (** %\section{Chapter Source Files} 248 (** %\section{Chapter Source Files}
203 249
204 \begin{center} \begin{tabular}{|r|l|} 250 \begin{center} \begin{tabular}{|r|l|}
205 \hline 251 \hline