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Titlebook: Cooperative Bug Isolation; Winning Thesis of th Ben Liblit Book 2007 Springer-Verlag Berlin Heidelberg 2007 Debugging.algorithm.algorithms.

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发表于 2025-3-21 19:19:10 | 显示全部楼层 |阅读模式
书目名称Cooperative Bug Isolation
副标题Winning Thesis of th
编辑Ben Liblit
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Cooperative Bug Isolation; Winning Thesis of th Ben Liblit Book 2007 Springer-Verlag Berlin Heidelberg 2007 Debugging.algorithm.algorithms.
描述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 ar
出版日期Book 2007
关键词Debugging; algorithm; algorithms; benchmark tests; code optimization; code sampling; cooperative computing
版次1
doihttps://doi.org/10.1007/978-3-540-71878-9
isbn_softcover978-3-540-71877-2
isbn_ebook978-3-540-71878-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2007
The information of publication is updating

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Instrumentation Framework,s managed by the .: a software tool whose external behavior mimics that of the native compiler, but that internally applies the instrumentation injection and sampling transformation steps depicted at the top center of Fig. 1.1. Our instrumentor, ., is implemented as a source-to-source transformation
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Conclusion, in time, money, or people) available for improving software are always limited..Widespread Internet connectivity makes possible a radical change to this situation. For the first time it is feasible to directly observe the reality of a software system’s deployment. Through sheer numbers, the user co
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Confidence: The “Flywheel” Turnsusers of software. By gathering a little bit of information from every run of a program performed by its user community, we are able to make inferences automatically about the causes of bugs encountered in the field.
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