From object fields to local variables: a practical approach to field-sensitive analysis

  • Authors:
  • Elvira Albert;Puri Arenas;Samir Genaim;German Puebla;Diana Vanessa Ramírez Deantes

  • Affiliations:
  • DSIC, Complutense University of Madrid, Spain;DSIC, Complutense University of Madrid, Spain;DSIC, Complutense University of Madrid, Spain;DLSIIS, Technical University of Madrid, Spain;DLSIIS, Technical University of Madrid, Spain

  • Venue:
  • SAS'10 Proceedings of the 17th international conference on Static analysis
  • Year:
  • 2010

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Abstract

Static analysis which takes into account the value of data stored in the heap is typically considered complex and computationally intractable in practice. Thus, most static analyzers do not keep track of object fields (or fields for short), i.e., they are field-insensitive. In this paper, we propose locality conditions for soundly converting fields into local variables. This way, field-insensitive analysis over the transformed program can infer information on the original fields. Our notion of locality is context-sensitive and can be applied both to numeric and reference fields. We propose then a polyvariant transformation which actually converts object fields meeting the locality condition into variables and which is able to generate multiple versions of code when this leads to increasing the amount of fields which satisfy the locality conditions. We have implemented our analysis within a termination analyzer for Java bytecode.