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VL
2010
IEEE
216views Visual Languages» more  VL 2010»
15 years 2 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»
14 years 11 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 4 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 4 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
141
Voted
IWMM
2009
Springer
122views Hardware» more  IWMM 2009»
15 years 10 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