ML dependency analysis for assessors

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Critical software needs to obtain an assessment before commissioning. This assessment is given after a long task of software analysis performed by assessors. They may be helped by tools, used interactively, to build models using information-flow analysis. Tools like SPARK-Ada exist for Ada subsets used for critical software. But some emergent languages such as those of the ML family lack such adapted tools. Providing similar tools for ML languages requires special attention on specific features such as higher-order functions and pattern-matching. This paper presents an information-flow analysis for such a language specifically designed according to the needs of assessors. This analysis can be parametrized to allow assessors getting a view of dependencies at several levels of abstraction and gives the basis for an efficient fault tolerance analysis.

Original languageEnglish
Title of host publicationSoftware Engineering and Formal Methods - 10th International Conference, SEFM 2012, Proceedings
Pages278-292
Number of pages15
DOIs
Publication statusPublished - 6 Nov 2012
Event10th International Conference on Software Engineering and Formal Methods, SEFM 2012 - Thessaloniki, Greece
Duration: 1 Oct 20125 Oct 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7504 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Software Engineering and Formal Methods, SEFM 2012
Country/TerritoryGreece
CityThessaloniki
Period1/10/125/10/12

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