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VL
2010
IEEE
216views Visual Languages» more  VL 2010»
15 years 5 months ago
Explanatory Debugging: Supporting End-User Debugging of Machine-Learned Programs
Many machine-learning algorithms learn rules of behavior from individual end users, such as taskoriented desktop organizers and handwriting recognizers. These rules form a “prog...
Todd Kulesza, Simone Stumpf, Margaret M. Burnett, ...
CORR
2011
Springer
259views Education» more  CORR 2011»
15 years 1 months ago
Automatic Optimization for MapReduce Programs
The MapReduce distributed programming framework has become popular, despite evidence that current implementations are inefficient, requiring far more hardware than a traditional r...
Eaman Jahani, Michael J. Cafarella, Christopher R&...
POPL
2007
ACM
16 years 7 months ago
Proving that programs eventually do something good
In recent years we have seen great progress made in the area of automatic source-level static analysis tools. However, most of today's program verification tools are limited ...
Byron Cook, Alexey Gotsman, Andreas Podelski, Andr...
POPL
2006
ACM
16 years 7 months ago
Small bisimulations for reasoning about higher-order imperative programs
We introduce a new notion of bisimulation for showing contextual equivalence of expressions in an untyped lambda-calculus with an explicit store, and in which all expressed values...
Vasileios Koutavas, Mitchell Wand
IWMM
2009
Springer
122views Hardware» more  IWMM 2009»
16 years 1 months ago
Parametric heap usage analysis for functional programs
This paper presents an analysis that derives a formula describing the worst-case live heap space usage of programs in a functional language with automated memory management (garba...
Leena Unnikrishnan, Scott D. Stoller