Cooperative Bug Isolation

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Winning Thesis of the 2005 ACM Doctoral Dissertation Competition, Lecture Notes in Computer Science 4440 – Programming and Software Engineering

ISBN: 354071877X
ISBN 13: 9783540718772
Autor: Liblit, Ben
Verlag: Springer Verlag GmbH
Umfang: xv, 101 S.
Erscheinungsdatum: 25.04.2007
Auflage: 1/2007
Produktform: Kartoniert
Einband: Kartoniert

Reconsiders two common assumptions about how software should be analyzed   Arrives at some striking new results  Presents an algorithm for isolating multiple bugs from sparsely sampled data taken from many thousands of program executions 

Artikelnummer: 9724972 Kategorie:

Beschreibung

Efforts to understand and predict the behavior of software date back to the earliest days of computer programming,over half a century ago. In the intervening decades, the need for effective methods of understanding software has only increased; so- ware has spread to become the underpinning of much of modern society, and the potentially disastrous consequences of broken or poorly understood software have become all too apparent. Ben Liblits work reconsiders two common assumptions about how we should analyze software and it arrives at some striking new results. Inprinciple,understandingsoftware is not such a hardproblem. Certainlya c- puter scientist studying programs appears to be in a much stronger position than, say, a biologist trying to understand a living organism or an economist trying to understand the behavior of markets, because the biologist and the economist must rely on indirect observation of the basic processes they wish to understand. A c- puterscientist, however,starts with a complete,precise descriptionof the behaviorof softwarethe program itself! Of course, the story turns out not to be so straightf- ward, because despite having a perfect description, programs are suf ciently c- plex that it is usually dif cult or even impossible to answer many simple questions about them.

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