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Details

Autor(en) / Beteiligte
Titel
Cooperative Bug Isolation : Winning Thesis of the 2005 ACM Doctoral Dissertation Competition [electronic resource]
Auflage
1st ed. 2007
Ort / Verlag
Berlin, Heidelberg : Springer Berlin Heidelberg
Erscheinungsjahr
2007
Link zum Volltext
Beschreibungen/Notizen
  • Revised version of the author's thesis (Ph.D.)--University of California, Berkeley, 2004.
  • "Association for Computing Machinery"--Cover.
  • Revised thesis (Ph.D.) - University of California, Berkeley, 2004.
  • Includes bibliographical references (pages [97]-101) and index.
  • Instrumentation Framework -- Practical Considerations -- Techniques for Statistical Debugging -- Related Work -- Conclusion.
  • 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.
  • English
Sprache
Englisch
Identifikatoren
ISBN: 1-280-86572-5, 9786610865727, 3-540-71878-8
DOI: 10.1007/978-3-540-71878-9
Titel-ID: 9925033399606463