Memorias de investigación
Research Publications in journals:
Incremental Analysis of Logic Programs with Assertions and Open Predicates
Year:2019

Research Areas
  • Information technology and adata processing

Information
Abstract
Generic components are a further abstraction over the concept of modules, introducing dependencies on other (not necessarily available) components implementing specified interfaces. They have become a key concept in large and complex software applications. Despite undeniable advantages, generic code is also anti-modular. Precise analysis (e.g., for detecting bugs or optimizing code) requires such code to be instantiated with concrete implementations, potentially leading to expensive combinatorial explosion. In this paper we claim that incremental, whole program analysis can be very beneficial in this context, and alleviate the anti-modularity nature of generic code. We propose a simple Horn-clause encoding of generic programs, using open predicates and assertions, and we introduce a new incremental, multivariant analysis algorithm that reacts incrementally not only to changes in program clauses, but also to changes in the assertions, upon which large parts of the analysis graph may depend. We also discuss the application of the proposed techniques in a number of practical use cases. In addition, as a realistic case study, we apply the proposed techniques in the analysis of the LPdoc documentation system. We argue that the proposed traits are a convenient and elegant abstraction for modular generic programming, and that our preliminary results support our thesis that the new incrementality-related features added to the analysis bring promising advantages in this context.
International
Si
JCR
Si
Title
Lecture Notes in Computer Science
ISBN
0302-9743
Impact factor JCR
0,402
Impact info
Volume
12042
10.1007/978-3-030-45260-5_3
Journal number
From page
36
To page
56
Month
SIN MES
Ranking
Participants

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Computación lógica, Lenguajes, Implementación y Paralelismo (CLIP)
  • Departamento: Inteligencia Artificial