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diff --git a/ansi-tests/doc/ilc2005.tex b/ansi-tests/doc/ilc2005.tex new file mode 100644 index 00000000..299e7cb8 --- /dev/null +++ b/ansi-tests/doc/ilc2005.tex @@ -0,0 +1,631 @@ +\documentclass[11pt]{article} +% \setlength{\oddsidemargin}{0in} +% \setlength{\evensidemargin}{0in} +% \setlength{\footskip}{1in} +% \setlength{\textwidth}{6.5in} + +\usepackage[letterpaper,textwidth=6.7in,textheight=8.7in]{geometry} +\usepackage{graphics} +\usepackage{url} +\usepackage{times} +%\usepackage[british]{babel} +% \usepackage{theorem} +\setlength{\topmargin}{.35in} +\newtheorem{theorem}{Theorem} + +\pagestyle{empty} + +\begin{document} +\title{The GCL ANSI Common Lisp Test Suite} +\author{Paul F. Dietz\footnote{Motorola Global Software Group, 1303 +E. Algonquin Road, Annex 2, Schaumburg, IL 60196. paul.f.dietz@motorola.com}} +\date{} +\maketitle +\thispagestyle{empty} + +\begin{abstract} +I describe the conformance test suite for ANSI Common Lisp distributed +as part of GNU Common Lisp (GCL). The test suite includes more than +20,000 individual tests, as well as random test generators for +exercising specific parts of Common Lisp implementations, and has +revealed many conformance bugs in all implementations on +which it has been run. +\end{abstract} + +\section{Introduction} + +One of the strengths of Common Lisp is the existence of a large, +detailed standard specifying the behavior of conforming +implementations. The value of the standard to users is enhanced when +they can be confident that implementations that purport to conform +actually do. + +In the 1990s I found substantial numbers of conformance bugs in many +Lisp implementations. As a result, I decided to build a +comprehensive functional test suite for Common Lisp. The goals of the +effort were, in no particular order: + +\begin{itemize} +\item To thoroughly familiarize myself with the standard. +\item To provide a tool to locate conformance problems in CL +implementations, both commercial and free. +\item To enable implementors to improve CL implementations while + maintaining conformance. +\item To explore the standard itself for ambiguities, unintended + consequences, and other problems. +\item To explore different testing strategies. +\end{itemize} + +I deliberately did not design the test suite to measure or rank +conformance of Lisp implementations. For this reason, I will not here +report the overall score of any implementation. + +I decided to locate the test suite in the GCL development tree for two +reasons. First, its development team had a goal of making GCL more +ANSI compliant, and tests would assist there. Secondly, the GCL CVS +tree is easily publicly accessible\footnote{See +\url{http://savannah.gnu.org/projects/gcl/}}, so any developers or users of +Common Lisp implementations would have easy access to it. + +The test suite was constructed over the period from 1998 to 2005, with +most of the work done in 2002 to 2004. +As of 24 May 2005, the test suite contains over 20,000 tests. + +The test suite is based on a version of the ANSI Common Lisp +specification (ANSI/INCITS 226-1994, formerly ANSI X3.226-1994) that +was made publicly available by Harlequin (now LispWorks) in +hyperlinked form in 1996 \cite{X3J13:94}. + +Table \ref{lispimpltab} contains a list of Lisp implementations on +which I am aware the test suite has been run. + +\begin{table} +\begin{center} +\begin{tabular}{lr} +Implementation & Hardware Platforms \\ \hline +GNU Common Lisp & All debian platforms \\ +GNU CLISP & x86 \\ +CMUCL & x86, Sparc \\ +SBCL & x86, x86-64, Sparc, MIPS, Alpha, PowerPC \\ +Allegro CL (6.2, 7) & x86, Sparc, PowerPC \\ +LispWorks (4.3) & x86 \\ +OpenMCL & PowerPC \\ +ABCL & x86 (JVM) \\ +ECL & x86 \\ +\end{tabular} +\end{center} +\caption{\label{lispimpltab} Implementations Tested} +\end{table} + +\section {Infrastructure} + +The test suite uses Waters' RT package \cite{Waters:91a}. This +package provides a simple interface for defining tests. In its +original form, tests are defined with a name (typically a symbol +or string), a form to be evaluated, and zero or more expected +values. The test passes if the form evaluates to the specified +number of values, and those values are as specified. See figure +\ref{examplefig} for an example from the test suite: + +\begin{figure} +\begin{verbatim} + (deftest let.17 + (let ((x :bad)) + (declare (special x)) + (let ((x :good)) ;; lexical binding + (let ((y x)) + (declare (special x)) ;; free declaration + y))) + :good) +\end{verbatim} +\caption{\label{examplefig} Example of a test} +\end{figure} + +As the test suite evolved RT was extended. Features added include: +\begin{itemize} + \item Error conditions raised by tests may be trapped. + \item Tests may optionally be executed by wrapping the form to be +evaluated in a lambda form, compiling it, and calling the compiled +code. This makes sense for testing Lisp itself, but would not be +useful for testing Lisp applications. + \item A subset of the tests can be run repeatedly, in random order, a +style of testing called \emph{Repeated Random Regression} by Kaner, +Bond and McGee \cite{KanerBondMcGee:04}\footnote{This was previously +called `Extended Random Regression'; McGee renamed it to avoid the +confusing acronym.} + \item Notes may be attached to tests, and these notes used to turn off +groups of tests. + +\item Tests can be marked as being expected to fail. Unexpected + failures are reported separately. +\end{itemize} + +\section {Functional Tests} + +The bulk of the test suite consists of functional tests derived from +specific parts of the ANSI specification. Typically, for each +standardized operator there is a file \emph{operator}.lsp containing +tests for that operator. This provides a crude form of traceability. +There are exceptions to this naming convention, and many tests that +test more than one operator are located somewhat arbitrarily. +Table \ref{tab:testsize} shows the number and size of tests for each +section of the ANSI specification. + +\begin{table} +\begin{center} +\begin{tabular}{|l|r|r|} +\hline +Section of CLHS & Size (Bytes) & Number of Tests \\ +\hline \hline +Arrays & 212623 & 1109 \\ +Characters & 38655 & 256 \\ +Conditions & 71250 & 658 \\ +Cons & 264208 & 1816 \\ +Data \& Control Flow & 185973 & 1217 \\ +Environment & 51110 & 206 \\ +Eval/Compile & 41638 & 234 \\ +Files & 26375 & 87 \\ +Hash Tables & 38752 & 158 \\ +Iteration & 98339 & 767 \\ +Numbers & 290991 & 1382 \\ +Objects & 283549 & 774 \\ +Packages & 162203 & 493 \\ +Pathnames & 47100 & 215 \\ +Printer & 454314 & 2364 \\ +Reader & 101662 & 663 \\ +Sequences & 562210 & 3219 \\ +Streams & 165956 & 796 \\ +Strings & 83982 & 415 \\ +Structures & 46271 & 1366 \\ +Symbols & 106063 & 1141 \\ +System Construction & 16909 & 77 \\ +Types & 104804 & 599 \\ +Misc & 291883 & 679 \\ \hline +Infrastructure & 115090 & \\ +Random Testers & 190575 & \\ +\hline +Total & 4052485 & 20702 \\ +\hline +\end{tabular} +\end{center} + +\caption{\label{tab:testsize} Sizes of Parts of the Test Suite} +\end{table} + +Individual tests vary widely in power. Some are as simple as a +test that {\tt (CAR NIL)} is {\tt NIL}. Others are more involved. +For example, {\tt TYPES.9} checks that {\tt SUBTYPEP} is transitive +on a large collection of built-in types. + +The time required to run the test suite depends on the implementation, +but it is not excessive on modern hardware. SBCL 0.9.0.41 on a +machine with 2 GHz 64 bit AMD processor, for example, runs the test +suite in under eight minutes. + +Error tests have been written where the error behavior is specified by +the standard. This includes specifications in the `Exceptional +Situations' sections for operator dictionary entries, as well as tests +for calls to functions with too few or too many arguments, keyword +parameter errors, and violations of the first paragraph of CLHS +section 14.1.2.3. When type errors are specified or when the CLHS +requires that some operator have a well-defined meaning on any Lisp +value, the tests iterate over a set of precomputed Lisp objects +called the `universe' that contains representatives of all +standardized Lisp classes. In some cases a subset of this universe is +used, for efficiency reasons. + +There are some rules that perform random input testing. This testing +technique is described more fully in the next section. Other tests +are themselves deterministic, but are the product of one of the +suite's high volume random test harnesses. The `Misc' entry in table +\ref{tab:testsize} refers to these randomly generated tests. Each of +these tests caused a failure in at least one implementation. + +Inevitably, bugs have appeared in the test suite. Running the test +suite on multiple implementations (see table \ref{lispimpltab}) +exposes most problems. If a test fails in most of them, it is likely +(but not certain) that the test is flawed. Feedback from implementors +has also been invaluable, and is deeply appreciated. In some cases, +when it has not been possible to agree on the proper interpretation +of the standard, I've added a note to the set of disputed tests so +they can be disabled as a group. This is in keeping with the purpose +of the test suite -- to help implementors, not judge implementations. + + +\section {Random Testing} + +Random testing (more properly, random-input testing) is a standard +technique in the testing of hardware systems. However, it has been the +subject of controversy in the software testing community for more than +two decades. Myers \cite{Myers:79} called it ``Probably the poorest +... methodology of all''. This assessment presumes that the cost of +executing tests and checking their results for validity dominates the +cost of constructing the tests. If test inputs can be constructed and +results checked automatically, it may be very cost-effective to +generate and execute many lower quality tests. Kaner et +al. call this High Volume Automated Testing \cite{KanerBondMcGee:04}. + +Duran and Ntafos \cite{DuranNtafos:81} report favorably on the ability +of random testing to find relatively subtle bugs without a great deal +of effort. Random testing has been used to test Unix utilities +(so-called `fuzz testing') \cite{MillerFredriksenSo:90}, database +systems \cite{Slutz:98}, and C compilers \cite{McKeeman:98,Lindig:05,Faigon:05}. +Bach and Schroeder \cite{BachSchroeder:04} report that random input +testing compares well with the ability of the popular All-Pairs +testing technique at actually finding bugs. + +Random input testing provides a powerful means of testing algebraic +properties of systems. Common Lisp has many instances where such +properties can be checked, and the test suite tests many of them. +Random testing is used to test numeric operators, type operators, +the compiler, some sequence operators, and the readability of +objects printed in `print readably' mode. + +One criticism of random testing is its irreproducibility. +With care, this needn't be a problem. If a random failure +is sufficiently frequent, it can be reproduced with high +probability by simply running a randomized test again. Tests +can also be designed so that on failure, they print sufficient +information so that a non-randomized test can be constructed +exercising the bug. Most of the randomized tests in the test +suite have this property. + +\subsection {Compiler Tests} +\label{sec:compilertests} + +Efficiency of compiled code has long been one of Common Lisp's +strengths. Implementations have been touted as in some cases +approaching the speed of statically typed languages. Achieving this +efficiency places strong demands on Lisp compilers. A sufficiently +smart compiler needs a sufficiently smart test suite. + +Compilers (and Lisp compilers in particular) are an ideal target for +random input testing. Inputs may have many parts that interact in +the compiler in unpredictable ways. Because the language has a +well-defined semantics, it is easy to generate related, but different, +forms that should yield the same result (thereby providing a test +oracle.) + +The Random Tester performs the following steps. For some input +parameters $n$ and $s$ (each positive integers): +\begin{enumerate} + \item Produce a list of $n$ symbols that will be the parameters + of a lambda expression. These parameters will have integer + values. + \item Produce a list of $n$ finite integer subrange types. These + will be the types of the lambda parameters. The endpoints of + these types are not uniformly distributed, but instead follow + an approximately exponential distribution, preferring small + integers over larger ones. Integers close in absolute value + to integer powers of 2 are also overrepresented. + \item Generate a random conforming Lisp form of `size' approximately $s$ + containing (mostly) integer-valued forms. The parameters from + step 1 occur as free variables. + \item From this form, construct two lambda forms. In the first, + the lambda parameters are declared to have their integer + types, and random {\tt OPTIMIZE} settings are included. In the + second, a different set of {\tt OPTIMIZE} settings is declared, and + all the standardized Lisp functions that occur in the form + are declared {\tt NOTINLINE}. The goal here is to attempt to make + optimizations work differently on the two forms. + \item For each lambda form, its value on each set of inputs is + computed. This is done either by compiling the lambda form + and calling it on the inputs, or by evaling forms in which + the lambda form is the {\tt CAR} and the argument list the + {\tt CDR}. + \item A failure occurs if any call to the compiler or evaluator + signals an error, or if the two lambda forms yield different + results on any of the inputs. +\end{enumerate} + +This procedure very quickly -- within seconds -- found failures in +every Lisp implementation on which it was tried. Failures included +assertion failures in the compiler, type errors, differing return +values, code that caused segmentation faults, and in some cases code +that crashed the Lisps entirely. Most of the 679 `Misc' tests in +table \ref{tab:testsize} were produced by this tester; each represents +a failure in one or more implementations. + +Generating failing tests was easy, but minimizing them was tedious +and time consuming. I therefore wrote a pruner that repeatedly tries +to simplify a failing random form, replacing integer-valued subforms +with simpler ones, until no substitution preserving failure +exists. In most cases, this greatly reduced the size of the failing +form. Others have previously observed that bug-exposing random inputs +can often be automatically simplified +\cite{HildZeller:02a,McKeeman:98}. The desire to be able to +automatically simplify the failing forms constrained the tester; +I will discuss this problem later in section \ref{sec:future}. + +\begin{table} +\begin{center} +\begin{tabular}{|l|l|l|} +\hline Sourceforge Bug \# & Type of Bug & Description \\ +\hline +813119 & C & Simplification of conditional forms \\ +842910 & C & Simplification of conditional forms \\ +842912 & R & Incorrect generated code \\ +842913 & R & Incorrect generated code \\ +858011 & C & Compiler didn't handle implicit block in {\tt FLET} \\ +858658 & R & Incorrect code for {\tt UNWIND-PROTECT} and multiple values \\ +860052 & C & Involving {\tt RETURN-FROM} and {\tt MULTIPLE-VALUE-PROG1}. \\ +864220 & C & Integer tags in tagbody forms. \\ +864479 & C & Compiler bug in stack analysis. \\ +866282 & V & Incorrect value computed due to erroneous side effect \\ +& & analysis in compiler on special variables \\ +874859 & R & Stack mixup causing catch tag to be returned. \\ +889037 & V & Bug involving nested {\tt LABELS}, {\tt UNWIND-PROTECT}, +{\tt DOTIMES} forms. \\ +890138 & R & Incorrect bytecodes for {\tt CASE}, crashing the Lisp. \\ +1167991 & C & Simplification of conditional forms. \\ \hline +\end{tabular} + +Legend: +\begin{tabular}{ll} +C & Condition thrown by the compiler (assert or type check failure.) \\ +R & Condition thrown at runtime (incorrectly compiled code). \\ +V & Incorrect value returned by compiled code. \\ +\end{tabular} +\end{center} +\caption{\label{clispbugs} Compiler bugs found in GNU CLISP by Random Tester} +\end{table} + +Table \ref{clispbugs} contains a list of the fourteen compiler bugs +detected by the random tester in GNU CLISP. Roughly 200 million +iterations of the random tester were executed to find these bugs, +using a single 1.2 GHz Athlon XP+ workstation running intermittently +over a period of months. All these bugs have been fixed (in CVS) and +CLISP now fails only when the random forms produce bignum values that +exceed CLISP's internal limit. + +The greatest obstacle to using the random tester is the presence of +unfixed, high probability bugs. If an implementation has such a bug, +it will generate many useless hits that will conceal +lower probability bugs. + +\subsection {Types and Compilation} + +Type inference and type-based specialization of built-in operators is a +vital part of any high performance Lisp compiler for stock hardware, +so it makes sense to focus testing effort on it. The test suite +contains a facility for generating random inputs for operators and +compiling them with appropriate randomly generated type annotations, +then checking if the result matches that from an unoptimized version +of the operator. + +As an example, the operator {\tt ISQRT} had this bug in one commercial +implementation: +\begin{verbatim} + (compile nil '(lambda (x) (declare (type (member 4 -1) x) + (optimize speed (safety 1))) + (isqrt x))) + ==> Error: -1 is illegal argument to isqrt +\end{verbatim} +Amusingly, the bug occurs only when the negative integer is the second +item in the {\tt MEMBER} list. The test that found this bug is +succinctly defined via a macro: +\begin{verbatim} + (def-type-prop-test isqrt 'isqrt '((integer 0)) 1) +\end{verbatim} +The function to be compiled can be generated in such a way that it stores +the result value into an array specialized to a type that contains +the expected value. This is intended to allow the result value to +remain unboxed. + +The general random testing framework of section +\ref{sec:compilertests} is also useful for testing type-based compiler +optimizations, with two drawbacks: it currently only handles integer +operators, and it is less efficient than the more focused tests. +Even so, it was used to improve unboxed arithmetic in several +implementations (SBCL, CMUCL, GCL, ABCL). + +\subsection {{\tt SUBTYPEP} Testing} + +The test suite uses the algebraic properties of the {\tt SUBTYPEP} +function in both deterministic and randomized tests. For example, +if {\tt T1} is known to be a subtype of {\tt T2}, we can also check: +\begin{verbatim} + (subtypep '(not t2) '(not t1)) + (subtypep '(and t1 (not t2)) nil) + (subtypep '(or (not t1) t2) t) +\end{verbatim} + +The generator/pruner approach of the compiler random tester was +applied to testing {\tt SUBTYPEP}. Random types were generated and, +if one was a subtype of the other, the three alternative formulas +were also tested. If any return the two values (false, true), a +failure has been found. + +Christophe Rhodes used feedback from this tester to fix logic and +performance bugs in SBCL's {\tt SUBTYPEP} implementation. The +handling of {\tt CONS} types is particularly interesting, since +deciding the subtype relationship in the presence of cons types is +NP-hard. At least one implementation's {\tt SUBTYPEP} will run wild +on moderately complicated cons types, consuming large amounts of +memory before aborting. + +\subsection {Repeated Random Regression} + +As mentioned earlier, RRR is a technique for executing tests in an +extended random sequence, in order to flush out interaction bugs and +slow corruption problems. As an experiment, RT was extended to +support RRR on subsets of the tests. The main result was to find many +unwanted dependencies in the test suite, particularly among the +package tests. These dependencies had not surfaced when the tests had +been run in their normal order. + +After fixing these problems, RRR did find one CLOS bug in CLISP, +involving interaction between generic functions and class +redefinitions. The bug was localized by bisecting the set of tests +being run until a minimal core had been found, then minimizing the +sequence of invocations of those tests. If more bugs of this kind are +found it may be worthwhile to add a delta debugging +\cite{HildZeller:02a} facility to perform automatic test minimization. + +In Lisps that support preemptively scheduled threads, it would be +interesting to use RRR with subsets of the tests that lack global side +effects. The tests would be run in two or more threads at once in +order to find thread safety problems. + +\section {Issues with the ANSI Common Lisp Specification} + +Building the test suite involved going over the standard in detail. +Many points were unclear, ambiguous, or contradictory; some +parts of the standard proved difficult to test in a portable +way. This section describes some of these findings. + +See `Proposed ANSI Revisions and Clarifications' on +\url{http://www.cliki.net/} for a more complete list that includes +issues arising from the test suite. + +\subsection {Testability} + +Some parts of the standard proved difficult to test in a completely +conforming way. The specification of pathnames, for example, was +difficult to test. The suite has assumed that UNIX-like filenames +are legal as physical pathnames. + +Floating point operators presented problems. The standard does not +specify the accuracy of floating point computations, even if it +does specify a minimum precision for each of the standardized float +types. \footnote{The standard does specify a feature indicating +the implementation purports to conform to the IEEE Standard for Binary +Floating Point Arithmetic (ANSI/IEEE Std 754-1985); this suite +does not test this.} Some implementations have accuracy that varies +depending on the details of compilation; in particular, boxed values +may be constrained to 64 bits while unboxed values in machine +registers may have additional `hidden' bits. These differences +make differential testing challenging. + +The Objects chapter contains interfaces that are intended to be used +with the Metaobject Protocol (MOP). Since the MOP is not part of the +standard, some of these cannot be tested. For example, there is +apparently no conforming way to obtain an instance of class {\tt +METHOD-COMBINATION}, or to produce any subclass of {\tt +GENERIC-FUNCTION} except for {\tt STANDARD-GENERIC-FUNCTION}. + +\subsection {Unintended Consequences} + +There seem to be many issues associated with Common Lisp's type +system. One example is the {\tt TYPE-OF} function. According +to the standard, this function has the property that +\begin{quote} + For any object that is an element of some built-in type: [\ldots] + the type returned is a recognizable subtype of that built-in type. +\end{quote} +A \emph{built-in} type is defined to be +\begin{quote} + built-in type {\it n}. one of the types in Figure 4-2. +\end{quote} +Figure 4-2 of the standard contains {\tt UNSIGNED-BYTE}, the type of +nonnegative integers. These constraints imply that {\tt TYPE-OF} can +never return {\tt FIXNUM} or {\tt BIGNUM} for any nonnegative integer, +since neither of those types is a subtype of {\tt UNSIGNED-BYTE}. + +A more serious set of problems involves {\tt +UPGRADED-ARRAY-ELEMENT-TYPE}. \footnote{I ignore the issue that, +strictly speaking, {\tt UPGRADED-ARRAY-ELEMENT-TYPE} is either an +identity function or is not computable, since as defined it must work +on {\tt SATISFIES} types.} This function (from types to types) is +specified to satisfy these two axioms for all types $T_1$ and $T_2$: +\begin{displaymath} + T_1 \subseteq UAET(T_1) +\end{displaymath} +and +\begin{displaymath} + T_1 \subseteq T_2 \Longrightarrow UAET(T_1) \subseteq UAET(T_2) +\end{displaymath} +A type $T_1$ is a \emph{specialized array element type} if $T_1 = UAET(T_1)$. +These axioms imply: +\begin{theorem} +If two types $T_1$ and $T_2$ are specialized +array element types, then so is $T_1 \cap T_2$. +\end{theorem} + +This theorem has a number of unpleasant consequences. For example, +if {\tt (UNSIGNED-BYTE 16)} and {\tt (SIGNED-BYTE 16)} are specialized +array element types, then so must be {\tt (UNSIGNED-BYTE 15)}. Even +worse, since {\tt BIT} and {\tt CHARACTER} are required to be +specialized array element types, and since they are disjoint, +then {\tt NIL}, the empty type, must also be a specialized array +element type. Topping all this off, note that +\begin{quote} + A string is a specialized vector whose elements are of type + character or a subtype of type character. (CLHS page for {\tt STRING}) +\end{quote} +Since {\tt NIL} is a subtype of {\tt CHARACTER}, a vector with +array element type {\tt NIL} is a string. It is +impossible for a conforming implementation to have only a +single representation of strings.\footnote{But since `nil strings' can +never be accessed, it's acceptable in non-safe code to just assume +string accesses are to some other string representation. The SBCL +implementors took advantage of this when using nil strings as a stepping +stone to Unicode support.} + +\section {Directions For Future Work} +\label{sec:future} + +The test suite still has a few areas that are not sufficiently tested. +Setf expanders need more testing, as do logical pathnames and file +compilation. Floating point functions are inadequately tested. As +mentioned earlier, it isn't clear what precision is expected of these +functions, but perhaps tests can be written that check if the error +is too large (in some sufficiently useful sense.) + +The random compiler tester, as implemented, is constrained to generate +forms that remain conforming as they are simplified. This limits the +use of certain operators that do not take the entire set of integers +as their arguments. For example, {\tt ISQRT} appears only in forms +like {\tt (ISQRT (ABS ...))}, and this pattern is preserved during +pruning. The forms also make very limited use of non-numeric types. + +More sophisticated random tester could avoid these limitations. One +approach would be to randomly generate trees from which Lisp forms +could be produced, but that also carry along information that would +enable pruning to be done more intelligently. Another approach would +be to check each pruned form for validity on the set of chosen random +inputs by doing a trial run with all operators replaced by special +versions that always check for illegal behaviors. I intend to explore +both options. + +The test suite has been written mostly as a `black box' suite (aside +from the randomly generated Misc tests). It would be interesting to +add more implementation knowledge, with tests that, while conforming, +will be more useful if the Lisp has been implemented in a particular +way. The type propagation tester is an example of this kind of `gray +box' testing. + +It would be interesting to determine the level of coverage achieved by +the test suite in various implementations. The coverage is probably +not very good, since the suite cannot contain tests of nonstandardized +error situations, but this should be confirmed, and compared against +the coverage obtained from running typical applications. Internal +coverage could also provide feedback for nudging the random tester +toward testing relatively untested parts of the compiler, say by using +an evolutionary algorithm on the parameters governing the construction +of random forms. + +\section {Acknowledgments} + +I would like to thank Camm Maguire, the head of the GCL development +team, for allowing the GCL ANSI test suite to be a part of that +project. I also would like to thank users of the test suite who have +returned feedback, including Camm, Christophe Rhodes, Sam Steingold, +Bruno Haible, Duane Rettig, Raymond Toy, Dan Barlow, Juan Jos\'{e} +Garc\'{i}a-Ripoll, Brian Mastenbrook and many others. + +\nocite{X3J13:94} +\nocite{McKeeman:98} +\nocite{DuranNtafos:81} +\nocite{KanerBondMcGee:04} +\nocite{Waters:91a} +\nocite{HildZeller:02a} +\nocite{BachSchroeder:04} +\nocite{Slutz:98} +\nocite{Lindig:05} +\nocite{Myers:79} + +\bibliography{lisp} +\bibliographystyle{plain} + +\end{document} diff --git a/ansi-tests/doc/lisp.bib b/ansi-tests/doc/lisp.bib new file mode 100644 index 00000000..f916be5d --- /dev/null +++ b/ansi-tests/doc/lisp.bib @@ -0,0 +1,121 @@ +@booklet{X3J13:94, + title = "Common {Lisp} {HyperSpec}", + author = "K. M. Pitman", + howpublished = "http://www.lispworks.com/reference/HyperSpec/Front/index.htm", + note = "A hyperlinked form of ANSI/INCITS document 226-1994. Translated in 1996 and updated in 2005." +} + +@article{McKeeman:98, + title = {Differential Testing for Software}, + author = {W. M. McKeeman}, + journal = {Digital Technical Journal}, + volume = {10}, + number = {1}, + year = {1998}, + pages = {100--107} +} + +@article{DuranNtafos:84, + title = {An Evaluation of Random Testing}, + author = {J. W. Duran and S. Ntafos}, + journal = {IEEE TSE}, + volume = {SE-10}, + year = {1984}, + pages = {438--444}, + publisher = {IEEE Press} +} + +@inproceedings{DuranNtafos:81, + author = {Joe W. Duran and Simeon Ntafos}, + title = {A report on random testing}, + booktitle = {ICSE '81: Proceedings of the 5th international conference on Software engineering}, + year = {1981}, + pages = {179--183}, + location = {San Diego, California, United States}, + publisher = {IEEE Press} + } + +@misc{KanerBondMcGee:04, + author={C. Kaner, W. P. Bond, P. McGee}, + title={High Volume Test Automation}, + howpublished={At http://testingeducation.org/a/hvta.pdf}, + year={2004}, + month={May}, + note={Keynote address presented at the International Conference on Software Testing, Analysis, and Review (STAR East), Orlando, FL} +} + +@article{Waters:91a, + author = {Richard C. Waters}, + title = {Supporting the regression testing of Lisp programs}, + journal = {SIGPLAN Lisp Pointers}, + volume = {IV}, + number = {2}, + year = {1991}, + pages = {47--53}, + publisher = {ACM Press}, + address = {New York, NY, USA}, + } + +@article{HildZeller:02a, + author={Andreas Zeller and Ralf Hildebrandt}, + title={Simplifying and Isolating Failure-Inducing Input}, + journal={IEEE Transactions on Software Engineering}, + volume={28}, + number={2}, + month={Feb}, + year={2002}, + pages={183--200}, +} + +@inproceedings {BachSchroeder:04, + author={James Bach and Patrick J. Schroeder}, + title={Pairwise Testing: A Best Practice That Isn't}, + booktitle={Proc. 22nd Annual Pacific Northwest Software Quality Conference}, + year={2004}, + note={See http://www.pnsqc.org/proceedings/pnsqc2004.pdf}, +} + +@inproceedings {Slutz:98, + author={Don R. Slutz}, + title={Massive Stochastic Testing of {SQL}}, + booktitle={Proc. 24th International Conference on Very Large Database Systems (VLDB'98)}, + year={1998}, + month={Aug.}, + pages={618-622}, +} + +@misc{Lindig:05, + author={Christian Lindig}, + title={Random Testing the Translation of {C} Function Calls}, + month={Feb.}, + year={2005}, + howpublished={At http://www.st.cs.uni-sb.de/~lindig/src/quest/quest.pdf}, +} + +@book{Myers:79, + author={Glenford J. Myers}, + title={The Art of Software Testing}, + publisher={John Wiley \& Sons}, + year={1979}, +} + +@article{MillerFredriksenSo:90, + author = {Barton P. Miller and Louis Fredriksen and Bryan So}, + title = {An empirical study of the reliability of UNIX utilities}, + journal = {Commun. ACM}, + volume = {33}, + number = {12}, + year = {1990}, + issn = {0001-0782}, + pages = {32--44}, + doi = {http://doi.acm.org/10.1145/96267.96279}, + publisher = {ACM Press}, + address = {New York, NY, USA}, + } + +@misc{Faigon:05, + author={Ariel Faigon}, + title={Testing for Zero Bugs}, + year={2005}, + howpublished={At http://www.yendor.com/testing/}, +} -- GitLab