Liblit Cooperative Bug Isolation

Winning Thesis of the 2005 ACM Doctoral Dissertation Competition
2007
ISBN: 978-3-540-71878-9
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 4440, 101 Seiten, eBook

Reihe: Lecture Notes in Computer Science

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 Liblit’s 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 software—the 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.

Zielgruppe

Research

Autoren/Hrsg.

Liblit, Ben

Inhaltsverzeichnis

Instrumentation Framework.- Practical Considerations.- Techniques for Statistical Debugging.- Related Work.- Conclusion.