Sciweavers

PEPM
2016
ACM
10 years 24 days ago
Staging beyond terms: prospects and challenges
Staging is a program generation paradigm with a clean, wellinvestigated semantics which statically ensures that the generated code is always well-typed and well-scoped. Staging is...
Jun Inoue, Oleg Kiselyov, Yukiyoshi Kameyama
PEPM
2016
ACM
10 years 24 days ago
Toward introducing binding-time analysis to MetaOCaml
This paper relates 2-level λ-calculus and staged λ-calculus (restricted to 2 stages) to obtain monovariant binding-time analysis for λ-calculus that produces the output in the ...
Kenichi Asai
PEERJPRE
2016
63views more  PEERJPRE 2016»
10 years 24 days ago
Canonical instabilities of autonomous vehicle systems
Formal argument suggests that command, communication and control systems can remain stable in the sense of the Data Rate Theorem that mandates the minimum rate of control informat...
Rodrick Wallace
PEERJPRE
2016
85views more  PEERJPRE 2016»
10 years 24 days ago
Judging a commit by its cover; or can a commit message predict build failure?
Developers summarize their changes to code in commit messages. When a message seems “unusual”, however, this puts doubt into the quality of the code contained in the commit. W...
Eddie A. Santos, Abram Hindle
PEERJPRE
2016
83views more  PEERJPRE 2016»
10 years 24 days ago
The impact of test case summaries on bug fixing performance: An empirical investigation
Automated test generation tools have been widely investigated with the goal of reducing the cost of testing activities. However, generated tests have been shown not to help develo...
Sebastiano Panichella, Annibale Panichella, Moritz...
PEERJPRE
2016
64views more  PEERJPRE 2016»
10 years 24 days ago
How are functionally similar code clones syntactically different? An empirical study and a benchmark
Stefan Wagner 0001, Asim Abdulkhaleq, Ivan Bogicev...
PEERJPRE
2016
57views more  PEERJPRE 2016»
10 years 24 days ago
Probabilistic programming in Python using PyMC3
Probabilistic programming allows for automatic Bayesian inference on user-defined probabilistic models. Recent advances in Markov chain Monte Carlo (MCMC) sampling allow inference...
John Salvatier, Thomas V. Wiecki, Christopher Fonn...
PEERJPRE
2016
59views more  PEERJPRE 2016»
10 years 24 days ago
A computational framework for colour metrics and colour space transforms
An object-oriented computational framework for the transformation of colour data and colour metric tensors is presented. The main idea of the design is to represent the transforms...
Ivar Farup