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https://doi.org/10.1145/180679...
Article . 2010 . Peer-reviewed
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Claim

Liability in software engineering

overview of the LISE approach and illustration on a case study
descriptionPublicationkeyboard_double_arrow_right Article , Conference object , External research report , Report 01 May 2010 France Publisher:ACMJournal:Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 1
Authors: Le Métayer, Daniel; Maarek, Manuel; Mazza, Eduardo; Potet, Marie-Laure; Frénot, Stéphane; Viet Triem Tong, Valérie; Craipeau, Nicolas; +9 Authors

doi: 10.1145/1806799.1806823

Liability in software engineering

Abstract

LISE is a multidisciplinary project involving lawyers and computer scientists with the aim to put forward a set of methods and tools to (1) dene software liability in a precise and unambiguous way and (2) establish such liability in case of incident. This paper provides an overview of the overall approach taken in the project based on a case study. The case study illustrates a situation where, in order to reduce legal uncertainties, the parties to a contract wish to include in the agreement specic clauses to dene as precisely as possible the share of liabilities between them for the main types of failures of the system.

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France
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Keywords

[INFO.INFO-PL]Computer Science [cs]/Programming Languages [cs.PL], ACM: K.: Computing Milieux/K.5: LEGAL ASPECTS OF COMPUTING, [INFO.INFO-GL]Computer Science [cs]/General Literature [cs.GL], ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.4: Software/Program Verification, Legal Aspects, Specication, [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering, Formal Methods, [INFO.INFO-IA] Computer Science [cs]/Computer Aided Engineering, 004, Specification, [INFO.INFO-PL] Computer Science [cs]/Programming Languages [cs.PL], Liability, Defects, Contract, [INFO.INFO-GL] Computer Science [cs]/General Literature [cs.GL], ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.1: Requirements/Specifications, Evidence

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 6
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Average
Top 10%
Green
Related to Research communities
INRIA
Knowmad Institut
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University Network for Innovation, Technology and Engineering