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Recommending Service Repairs

Authors: Joshua Church; Amihai Motro;

Recommending Service Repairs

Abstract

We address the issue of failure in service compositions. Such failures occur when a service in the composition evolves or becomes unavailable. Our goal is to analyze these failures and recommend possible service repairs. We begin with a formal model of services and service compositions. In this model, services are abstracted as functions that map input domains to output domains and knowledge of their semantics is restricted to a relatively short table of input-output pairs. Service compositions are then formed with the help of two functional operators. We then design a technique to support programmers in debugging service failure by offering a ranked list of suggested repairs. The repairs may substitute the failed component service or any portion of the composition that contains it. Finally, we describe experiments that validate our technique.

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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!
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Average
Average
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