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ICFP
2009
ACM
14 years 8 months ago
Purely functional lazy non-deterministic programming
Functional logic programming and probabilistic programming have demonstrated the broad benefits of combining laziness (non-strict evaluation with sharing of the results) with non-...
Sebastian Fischer, Oleg Kiselyov, Chung-chieh Shan
ICSE
2010
IEEE-ACM
14 years 15 days ago
From behaviour preservation to behaviour modification: constraint-based mutant generation
The efficacy of mutation analysis depends heavily on its capability to mutate programs in such a way that they remain executable and exhibit deviating behaviour. Whereas the forme...
Friedrich Steimann, Andreas Thies
GPCE
2009
Springer
14 years 9 days ago
Safe composition of non-monotonic features
Programs can be composed from features. We want to verify automatically that all legal combinations of features can be composed safely without errors. Prior work on this problem a...
Martin Kuhlemann, Don S. Batory, Christian Kä...
JUCS
2007
80views more  JUCS 2007»
13 years 7 months ago
Higher-Order Lazy Functional Slicing
: Program slicing is a well known family of techniques intended to identify and isolate code fragments which depend on, or are depended upon, specific program entities. This is pa...
Nuno F. Rodrigues, Luís Soares Barbosa
LISP
2008
165views more  LISP 2008»
13 years 7 months ago
Adapting functional programs to higher order logic
Higher-order logic proof systems combine functional programming with logic, providing functional programmers with a comfortable setting for the formalization of programs, specifica...
Scott Owens, Konrad Slind