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您的检索式：作者名="David Notkin"
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| 1 | Software, Software Engineering and Software Engineering Research: Some Unconventional Thoughts显示文摘Software engineering is broadly discussed as falling far short of expectations. Data and examples are used to justify how software itself is often poor, how the engineering of software leaves much to be desired, and how research in software engineering has not made enough progress to help overcome these weaknesses. However, these data and examples are presented and interpreted in ways that are arguably imbalanced. This imbalance, usually taken at face value, may be distracting the field from making significant progress towards improving the effective engineering of software, a goal the entire community shares. Research dichotomies, which tend to pit one approach against another, often subtly hint that there is a best way to engineer software or a best way to perform research on software. This, too, may be distracting the field from important classes of progress. | David Notkin | 2009 | Journal of Computer Science & Technology2009，24，2： | 4 |
| 2 | Dynamically discovering likely program invariants to support program evolution显示文摘 | Michael D Ernst Jake Cockrell David Notkin | 2001 | I EEE Transactions on Software Engineering2001，27，2： | 1 |
| 3 | Semi-automatic Update Of Applications In Response To Library Changes显示文摘 | Kingsum Chow David Notkin | 1996 | IEEE1996，，： | 1 |
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