131,108 research outputs found
Imperative functional programs that explain their work
Program slicing provides explanations that illustrate how program outputs
were produced from inputs. We build on an approach introduced in prior work by
Perera et al., where dynamic slicing was defined for pure higher-order
functional programs as a Galois connection between lattices of partial inputs
and partial outputs. We extend this approach to imperative functional programs
that combine higher-order programming with references and exceptions. We
present proofs of correctness and optimality of our approach and a
proof-of-concept implementation and experimental evaluation.Comment: Full version of ICFP 2017 paper, with appendice
Variable elimination for building interpreters
In this paper, we build an interpreter by reusing host language functions
instead of recoding mechanisms of function application that are already
available in the host language (the language which is used to build the
interpreter). In order to transform user-defined functions into host language
functions we use combinatory logic : lambda-abstractions are transformed into a
composition of combinators. We provide a mechanically checked proof that this
step is correct for the call-by-value strategy with imperative features.Comment: 33 page
Empirical Evaluation of Test Coverage for Functional Programs
The correlation between test coverage and test effectiveness is important to justify the use of coverage in practice. Existing results on imperative programs mostly show that test coverage predicates effectiveness. However, since functional programs are usually structurally different from imperative ones, it is unclear whether the same result may be derived and coverage can be used as a prediction of effectiveness on functional programs. In this paper we report the first empirical study on the correlation between test coverage and test effectiveness on functional programs. We consider four types of coverage: as input coverages, statement/branch coverage and expression coverage, and as oracle coverages, count of assertions and checked coverage. We also consider two types of effectiveness: raw effectiveness and normalized effectiveness. Our results are twofold. (1) In general the findings on imperative programs still hold on functional programs, warranting the use of coverage in practice. (2) On specific coverage criteria, the results may be unexpected or different from the imperative ones, calling for further studies on functional programs
Recursive Definitions of Monadic Functions
Using standard domain-theoretic fixed-points, we present an approach for
defining recursive functions that are formulated in monadic style. The method
works both in the simple option monad and the state-exception monad of
Isabelle/HOL's imperative programming extension, which results in a convenient
definition principle for imperative programs, which were previously hard to
define.
For such monadic functions, the recursion equation can always be derived
without preconditions, even if the function is partial. The construction is
easy to automate, and convenient induction principles can be derived
automatically.Comment: In Proceedings PAR 2010, arXiv:1012.455
Test Data Generation of Bytecode by CLP Partial Evaluation
We employ existing partial evaluation (PE) techniques developed for Constraint Logic Programming (CLP) in order to automatically generate test-case generators for glass-box testing of bytecode. Our approach consists of two independent CLP PE phases. (1) First, the bytecode is transformed into an equivalent (decompiled) CLP program. This is already a well studied transformation which can be done either by using an ad-hoc decompiler or by specialising a bytecode interpreter by means of existing PE techniques. (2) A second PE is performed in order to supervise the generation of test-cases by execution of the CLP decompiled program. Interestingly, we employ control strategies previously defined in the context of CLP PE in order to capture coverage criteria for glass-box testing of bytecode. A unique feature of our approach is that, this second PE phase allows generating not only test-cases but also test-case generators. To the best of our knowledge, this is the first time that (CLP) PE techniques are applied for test-case generation as well as to generate test-case generators
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