| 書目名稱 | Cooperative Bug Isolation | | 副標(biāo)題 | Winning Thesis of th | | 編輯 | Ben Liblit | | 視頻video | http://file.papertrans.cn/238/237923/237923.mp4 | | 叢書名稱 | Lecture Notes in Computer Science | | 圖書封面 |  | | 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 | | 關(guān)鍵詞 | Debugging; algorithm; algorithms; benchmark tests; code optimization; code sampling; cooperative computing | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-540-71878-9 | | isbn_softcover | 978-3-540-71877-2 | | isbn_ebook | 978-3-540-71878-9Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer-Verlag Berlin Heidelberg 2007 |
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