By Manuel Serrano, Jurriaan Hage
This publication constitutes the completely refereed revised chosen papers of the sixteenth foreign Symposium on traits in useful Programming, TFP 2015, held in Sophia Antipolis, France, in June 2015. The eight revised complete papers incorporated during this quantity have been conscientiously and chosen from 26 submissions. TFP is a world discussion board for researchers with pursuits in all points of practical programming, taking a vast view of present and destiny tendencies within the quarter. It aspires to be a full of life setting for featuring the newest examine effects, and different contributions, defined in draft papers submitted sooner than the symposium.
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Extra resources for Trends in Functional Programming: 16th International Symposium, TFP 2015, Sophia Antipolis, France, June 3-5, 2015. Revised Selected Papers
Sample text
1 Introduction A desirable goal of software testing is for every reachable expression within a program to contribute to at least one test execution of the program. The testing then exhibits program coverage. Random property testing systems such as Quickcheck [3] often cover most of a program, but particularly hard to reach expressions may remain untested. The Reach system [12] was developed to address this problem, by generating inputs that execute a particular target expression. By using the Haskell Program Coverage (HPC) tool [5] to find expressions which are not tested by Quickcheck, and Reach to generate inputs that execute these expressions, the goal of program coverage can be achieved.
1 Substitutions An input to an expression is a mapping from its free variables to values. In order to define this formally, we first make a slight detour to introduce the more 28 J. Fowler and G. Huttom general notation of a substitution, which will be used later in lazy narrowing. A substitution of type X → Y is a mapping from the set of free variables X to partial values that contain free variables from the set Y : Sub X→Y = X → Val Y Defining substitutions in this manner rather than as a partial mapping from an infinite set of variables results in a simpler formalisation in Agda.
Thirdly, compared to the earlier JNI based solutions, and Erjang, performance is lacking. The QuickCheck random testing tool [7] has had a very positive impact on the use of functional programming for model-based testing. The Haskell based QuickCheck, and its many derivatives for other functional programming languages, are nowadays being used to model a large variety of software and hardware systems. As an example of successful cross-language model-based testing, Quviq is using their Erlang based QuickCheck tool [1] to test automotive software written in C [8].