Title
Linear, Polynomial or Exponential? Complexity Inference in Polynomial Time
Abstract
We present a new method for inferring complexity properties for imperative programs with bounded loops. The properties handled are: polynomial (or linear) boundedness of computed values, as a function of the input; and similarly for the running time.It is well known that complexity properties are undecidable for a Turing-complete programming language. Much work in program analysis overcomes this obstacle by relaxing the correctness notion: one does not ask for an algorithm that correctly decides whether the property of interest holds or not, but only for "yes" answers to be sound. In contrast, we reshaped the problem by defining a "core" programming language that is Turing-incomplete, but strong enough to model real programs of interest. For this language, our method is the first to give a certain answer; in other words, our inference is both sound and complete.The essence of the method is that every command is assigned a "complexity certificate", which is a concise specification of dependencies of output values on input. These certificates are produced by inference rules that are compositional and efficiently computable. The approach is inspired by previous work by Niggl and Wunderlich and by Jones and Kristiansen, but use a novel, more expressive kind of certificates.
Year
DOI
Venue
2008
10.1007/978-3-540-69407-6_7
CiE
Keywords
Field
DocType
complexity certificate,inferring complexity property,complexity property,complexity inference,bounded loop,programming language,new method,previous work,polynomial time,certain answer,turing-complete programming language,inference rule,static program analysis,program analysis,linear time
PH,Discrete mathematics,Pseudo-polynomial time,Structural complexity theory,Sparse language,Inference,Computer science,Theoretical computer science,Time complexity,Rule of inference,Undecidable problem
Conference
Volume
ISSN
Citations 
5028
0302-9743
15
PageRank 
References 
Authors
0.69
6
3
Name
Order
Citations
PageRank
Amir M Ben-Amram132730.52
Neil D. Jones22634558.61
Lars Kristiansen3244.65